This disclosure relates generally to neurological and physiological monitoring, and, more particularly, to methods and apparatus to gather and analyze electroencephalographic data.
Electroencephalography (EEG) involves measuring and recording electrical activity resulting from thousands of simultaneous neural processes associated with different portions of the brain. EEG data is typically measured using a plurality of electrodes placed on the scalp of a person to measure voltage fluctuations resulting from this electrical activity within the neurons of the brain. Subcranial EEG can measure electrical activity with high accuracy. Although bone and dermal layers of a human head tend to weaken transmission of a wide range of frequencies, surface EEG also provides useful electrophysiological information.
Certain examples are shown in the above-identified figures and disclosed in detail below. In describing these examples, like or identical reference numbers are used to identify the same or similar elements. The figures are not necessarily to scale and certain features and certain views of the figures may be shown exaggerated in scale or in schematic for clarity and/or conciseness. Additionally, several examples have been described throughout this specification.
Biological cells and tissues have electrical properties that can be measured to provide information regarding the functioning of the cell or tissue. Various types of electrophysiological techniques have been developed to measure electrical signals from a body. For example, electrocardiography (ECG or EKG) measures electrical activity in a heart. Electroencephalography (EEG) measures electrical activity in a brain. Electrocorticography (ECoG) measures electrical activity using electrodes placed directly on an exposed surface of a brain to record electrical activity in a cerebral cortex. Electromyography (EMG) measures electrical activity in a muscle. Electrooculography (EOG) measures the resting potential of a retina, and electroretinography measures electrical responses of retinal cells. These and/or other electrophysiological signals are important in the treatment, diagnosis and monitoring of many health conditions.
EEG data is indicative of electrical activity of neurons including neural depolarization in the brain due to stimuli of one or more of the five senses (evoked activity) as well as from thought processes (spontaneous activity) that generate electrical activity in the brain. Summations of these electrical activities, (e.g., brainwaves), propagate to the surface (e.g., the scalp) and are detectable with electroencephalograms. Current flow in the human body is due to ion flow. Thus, a biopotential electrode is used to form an electrical double layer with the human skin to sense the ion distribution.
EEG data can be classified in various bands. Brainwave frequencies include delta, theta, alpha, beta and gamma frequency ranges. Delta waves are classified as those less than about 4 Hertz (Hz) and are prominent during sleep. Theta waves have frequencies between about 3.5 Hz to about 7.5 Hz and are associated with memories, attention, emotions, and sensations. Theta waves are typically prominent during states of internal focus. Alpha frequencies reside between about 7.5 Hz and about 13 Hz. Alpha waves are prominent during states of relaxation. Beta waves have a frequency range between about 14 Hz and about 30 Hz. Beta waves are prominent during states of motor control, long range synchronization between areas, analytical problem solving, judgment, and decision making. Gamma waves occur between about 30 Hz and about 100 Hz and are involved in binding of different populations of neurons together into a network for the purpose of carrying out a certain cognitive or motor function, as well as in attention and memory. Skull and dermal layers tend to attenuate waves above about 75 Hz and, as a result, high gamma band or kappa band waves are less easily measured than waves in lower frequency bands. EEG data may be used to determine an emotional or mental state of a person including, for example, attention, emotional engagement, memory or resonance, etc.
EEG signals may be measured using a plurality of electrodes placed on a scalp of a person (e.g., a user, a viewer, a subject, a panelist, a participant or a patient) to measure voltage fluctuations lasting milliseconds and resulting from electrical activity associated with post synaptic currents occurring within neurons of a brain. Though subcranial EEG can measure electrical activity with high accuracy, surface electrodes such as, for example, dry electrodes also provide useful neuro-response information.
To enable the surface EEG electrodes to effectively receive signals from the brain, the electrodes are placed as close to the scalp as possible. The electrodes may be manually placed upon a subject's head or may be contained in a wearable apparatus such as, for example, a headset. Many known EEG headsets utilize a bulky helmet or complicated head-strap type assembly. To decrease impedance, these headsets are typically strapped tightly onto a user's head to decrease the distance between the electrodes and the tissue of the scalp. However, too much pressure such as, for example, greater than two Newtons per millimeter square (N/mm2) results in discomfort for the subject. Further, these known headsets have limited adjustability and are often uncomfortable to wear because they do not account for differently sized heads and/or shapes of heads.
Example headset devices and accompanying components for receiving neuro-response data from a person's brain are disclosed herein. An example headset disclosed herein is portable and comprises a plurality of independently adjustable strips attached to a headband. In some examples, the strips are removable. The examples headset devices into which electrodes are incorporated are adjustable to enhance comfort and noise reduction, as disclosed in greater detail below. Some such example headsets provide a simple, cost effective and reliable solution for the use of a large number of dry electrodes. Some such example headsets ensure comfort, good electrode contact, through the hair operation, and shielding against line noise and other type(s) of noise. Examples disclosed herein also include independently removable and adjustable components to enhance comfort, wearability and safety.
Example clips are also disclosed herein that retain electrodes such as, for example, ground or reference electrodes. In some examples, the clips are used to attach one or more electrodes directly to the body of a person, and the clips are self-fastening such as, for example, with magnetic fasteners, so that additional hardware is not needed to secure the electrodes to the body such as, for example, to an earlobe of the person. Example clips also include terminals to releasably couple the clips and, thus, the electrodes, to a processing unit coupled to the headset. The terminals may also use magnetic fasteners. These example ground electrodes enhance the safety of the headset. For example, if a person were to fall or otherwise cause the headset to become off-balance, the releasable fasteners of the clip and the terminal can disengage from the ear of the person and/or from the processing unit.
An example apparatus is disclosed herein that includes a band to be worn on a head of a person and a first strip adjustably coupled to the band. The example apparatus also includes a first set of electrodes coupled to the first strip to gather a first set of signals from the head and a magnetic fastener to couple the first strip to the band.
In some examples, the apparatus includes a support and the first strip coupled to the support. In some such examples, the apparatus also includes a second strip having a second set of electrodes and the second strip is adjustably coupled to the band and coupled to the support. In some examples, the first strip and the second strip are independently adjustable. In some examples, the first strip and/or the second strip is slidably coupled to the support. In some examples, the first strip and the second strip are independently slidable relative to the support.
In some examples, the apparatus includes a processing unit and the first set of electrodes is communicatively coupled to the processing unit. In some such examples, the apparatus also includes a first reference electrode communicatively coupled to the processing unit. In some examples, the first reference electrode is coupled to a first terminal having a first connecter and the first terminal is couplable to the processing unit. In some examples, the first connector comprises a magnetic connector. In some examples, the first connector comprises a first pin and the processing unit comprises a first aperture to receive the first pin. In some examples, the apparatus also includes a second reference electrode communicatively coupled to the processing unit and the second reference electrode is coupled to a second terminal having a second connector the second terminal is coupled to at least one of the processing unit or the first terminal. In some such examples, the second connector comprises a magnetic connector. In some examples, the first connector comprises a first pin and the processing unit comprises a first aperture to receive the first pin, and the second connector comprises a second pin and the first connector comprises a second aperture to receive the second pin.
In some examples, the magnetic fastener comprises a first housing coupled to the band, a second housing coupled to the first strip, and a second magnetic element coupled to the second housing, the second magnetic element to magnetically couple to the first magnetic element. In some such examples, the first housing comprises the first magnetic element. In some examples, the first housing comprises an aperture to receive the band. In some examples, the first housing is adjustably coupled to the band. In some examples, the first housing comprises a protrusion to engage the band. In some such examples, the protrusion comprises a leaf spring.
In some examples, one of the first magnetic element or the second element comprises a metal plate and the other of the first magnetic element or the second magnetic element comprises a magnet. In some examples, the first strip is adjustably coupled to the second housing.
Also disclosed herein are example methods that include adjusting a first strip relative to a band worn on a head of a person using a magnetic fastener and gathering a first set of signals from the head using a first set of electrodes coupled to the first strip.
In some examples, the method includes sliding the first strip relative to a support coupled to the band. In some such examples, the method includes adjusting a second strip relative to the band and gathering a second set of signals from the head using a second set of electrodes coupled to the second strip. In some such examples, the method includes independently adjusting the first strip and the second strip relative to the band. In some examples, the method includes independently adjusting the first strip and the second strip relative to the support.
In some examples, the first set of electrodes is communicatively coupled to a processing unit. In some examples, the method includes communicatively coupling a first reference electrode to the processing unit. In some such examples, the method also includes coupling a first connector of a first terminal to which the first reference electrode is coupled to the processing unit to communicatively couple the first reference electrode and the processing unit. In some examples, the method includes magnetically coupling the first connector of the first terminal to the processing unit. In some examples, the first connector comprises a first pin and the processing unit comprises a first aperture to receive the first pin. In some examples, the method includes coupling a second connector of a second terminal to which a second reference electrode is coupled to at least one of the processing unit or the first terminal to communicatively couple the second reference electrode to the processing unit. In some examples, the method includes magnetically coupling the second connector to at least one of the processing unit or the first terminal. In some examples, the first connector comprises a first pin and the processing unit comprises a first aperture to receive the first pin, and the second connector comprises a second pin and the first connector comprises a second aperture to receive the second pin.
In some examples, the adjusting comprises changing an effective length of the first strip and engaging a first magnetic element coupled to the band with a second magnetic element coupled to the first strip. In some such examples, the first magnetic element is disposed in a first housing. In some examples, the first housing comprises an aperture to receive the band. In some such examples, the method includes adjusting the first housing in which magnetic element is disposed relative to the band. In some examples, the method includes securing the first housing in a position relative to the band. In some examples, the method includes engaging the band with a protrusion of the first housing to secure the first housing in the position. In some such examples, the protrusion comprises a leaf spring.
In some examples, one of the first magnetic element or the second magnetic element comprises a metal plate and the other of the first magnetic element or the second magnetic element comprises a magnet.
In some examples, the method includes adjusting the first strip relative to a second housing in which the second magnetic element is disposed.
An example apparatus disclosed herein includes a housing having a first end, a second end and an intermediary portion. The example apparatus also includes a first cavity adjacent the first end, a second cavity adjacent the second end, a first electrode disposed in the first cavity and a first magnetic element disposed in the second cavity.
In some examples, the first magnetic element is magnetically couplable to a band to dispose the first electrode against a forehead of a subject.
In some examples, the intermediary portion is elastically bendable to oppose the first cavity and the second cavity. In some such examples, the apparatus is couplable to an ear of a subject. In some examples, a magnetic force of the first magnetic element is to secure the apparatus to an ear of a person. In some examples, the first magnetic element is to magnetically couple the first end and the second end. In some examples, the apparatus includes a second magnetic element in the first cavity and the first magnetic element is magnetically couplable to the second magnetic element.
In some examples, the first electrode is coupled to a first terminal. In some such examples, the first terminal is magnetically couplable to a processing unit. In some examples, the processing unit is disposed on a head of a person.
In some examples, the apparatus includes a second electrode disposed in the second cavity. In some such examples, the first electrode is coupled to a first terminal, the second electrode is coupled to a second terminal and the second terminal is removably coupled to the first terminal. In some examples, the second terminal is magnetically coupled to the first terminal.
In some examples, the intermediary portion comprises a plurality of slits to hold a wire, which couples the first electrode to a first terminal.
An example method disclosed herein includes coupling, to a head of a person, a device comprising a housing having a first end, a second end and an intermediary portion. The device also comprises a first cavity adjacent the first end, a second cavity adjacent the second end, a first electrode disposed in the first cavity, and a first magnetic element disposed in the second cavity. The example method also includes gathering a reference signal from the first electrode.
In some examples, the example method includes magnetically coupling the first magnetic element to a band to be worn on the head of the person to dispose the first electrode against a forehead of the person.
In some examples, the method includes elastically bending the intermediary portion to oppose the first cavity and the second cavity. In some such examples, the method includes coupling the device to an ear of the person. In some examples, the method includes magnetically securing the device to the ear of the person by using magnetic force of the first magnetic element. In some examples, the method includes magnetically coupling the first magnetic element to the first end. In some examples, the method includes magnetically coupling the first magnetic element to a second magnetic element disposed in the first cavity.
In some examples, the method includes coupling the first electrode to a first terminal. In some such examples, the method includes magnetically coupling the first terminal to a processing unit. In some examples the method includes disposing the processing unit on a head of the person.
In some examples, the method includes disposing a second electrode in the second cavity. In some such examples, the method includes coupling the first electrode to a first terminal, coupling the second electrode to a second terminal and removably coupling the second terminal to the first terminal. In some examples, the method includes magnetically coupling the second terminal to the first terminal.
In some examples, the method includes weaving a wire through a plurality of slits in the intermediary portion, where the wire couples the first electrode to a first terminal.
Turning now to the figures,
As used herein, a participant is a person who has agreed to be monitored. Typically, a participant provides his or her demographic information (e.g., age, race, income, etc.) to a monitoring entity (e.g., The Nielsen Company) that collects and compiles data about a topic of interest (e.g., media exposure).
The example headset 100 includes a plurality of strips, each strip having a plurality of electrodes for receiving signals from the head of the person along the respective strip. More specifically, the headset 100 of the illustrated example includes a first strip 104, a second strip 106, a third strip 108, a fourth strip 110 and a fifth strip 112. Each of the strips 104-112 is intended to be worn over the head of a person from the left side of the head to the right side of the head. Each of the example strips 104-112 is removably attached to the band 102 and each of the strips 104-112 is adjustable on the band 102 to move and position the strips 104-112 in specific locations on the head of a person for reading electrical activity via the scalp. In other examples, the headset 100 may include fewer or more strips (e.g., four or less strips, ten or more strips).
As shown in
The electrodes 133a-n may have any suitable shape such as, for example, at least a portion of a ring, a ball, a hook and/or an array. Also, in some examples, the electrodes 133a-n, and the strips 104-112 to which the electrodes 133a-n are coupled, have a protective covering such as, for example, a nylon and/or a silver mesh. In some examples, the covering is a stretchable silver-coated nylon mesh. The covering provides additional shielding and protection. In addition, the electrodes 133a-n including the covering may be machine washable.
In the example shown, each of the straps 114-122 is adjustable (e.g., slidable) along the respective spine structures 124-132 and provides a downward forced on the spine structures 124-132 and, thus, the electrodes (e.g., 133a-n) coupled thereto. In the illustrated examples, each of the spine structures 124-132 is comprised of a flexible material such as, for example, plastic, rubber, polyurethane, silicone and/or any other suitable material or combination of materials. The flexibility of the example spine structures 124-132 enables the headset 100 to sit comfortably on the head of a person by adjusting to the shape of the head of the person without applying a discomforting force to the head.
In the example shown, each of the strips 104-112 is removably attached via its ends to the band 102. Specifically, in the example shown, each of the strips 104-112 has a first female connector 134-142 on one end (shown in
As shown in
In the example shown, each of the female connectors 134-152 is also rotatably coupled to its respective male connector 154-172. The male connectors 154-172 are slidable along the band 102, and the strips 104-112 are removably (and rotatably) coupled to the male connectors 154-172. Thus, each of the strips 104-112 is removable, rotatable, adjustable and repositionable along the scalp of a person. Additionally, each of the example strips 104-112 is adjustable independent of each of the other strips 104-112. The assembly of the male connectors 154-172 and the female connectors 134-152 is described in further detail below.
In the example shown, the headset 100 also includes a support 174 (e.g., a central support) that is coupled to a processing unit 176. The central support 174 provides sufficient rigidity to the headset 100 to enable the headset 100 to be easily placed and fitted on a person's head. In addition, each of the strips 104-112 is slidably coupled to and supported by the central support 174. Also, in some examples, the central support communicatively couples the electrodes 133a-n to the processing unit 176. For example, the central support 174 communicatively couples the electrodes of the example strips 104-112 to the processing unit within the processing unit 176 through communication links running through the central support 174. In some examples, each of the strips 104-112 is electrically coupled to the central support 174 via, for example, a connection terminal on the respective spines 124-132 and complementary terminal on the central support 174. In some examples, the complementary terminals on the central support 174 are independently slidable along the central support 174 to facilitate physical adjustment of the strips 104-112 relative to the head of the person. In other examples, the strips 104-112 are wirelessly coupled to the processing unit 176 and/or a remote processor. For example, one or more of the strips 104-112 may include a transmitter to wirelessly transmit signals (e.g., EEG signals) to the processing unit 176. In such examples, the central support 174 supports the strips 104-112 and provides rigidity and structure to the headset 100 but does not function to convey communication signals. In still other examples, the headset 100 does not include the central support 174 and the processing unit 176, and the signals are communicated to a handheld or other remote receiver.
In the illustrated example, the processing unit 176 may be contained in a housing and may include other electrical components for processing signals gathered from the electrodes 133a-n. In some examples, the electrical components are used to, for example, convert the EEG data from analog data to digital data, amplify the EEG data, remove noise from the data, analyze the data, and transmit the data to a computer or other remote receiver or processing unit. In some examples, the processing unit 176 includes hardware and software such as, for example, an amplifier, a signal conditioner, a data processor and/or a transmitter for transmitting signals to a data center or a computer. In other examples, some of the processing occurs at the headset 100 and some processing occurs remotely after the headset 100 transmits data or semi-processed results to a remote site such as, for example, via a wireless connection. As shown in
As shown, the first strip 104 includes the first spine 124 and the first strap 114. The first strap 114 is disposed within a slot 200 (e.g., a groove, an area between runners or knobs, a slit, etc.) on the first spine 124, and the first strap 114 is slidably adjustable along the first spine 124. In some examples, the first strap 114 is elastic and stretchable. An end of the first strap 114 is slidably coupled to the first female connector 134 (discussed in detail below). In the example shown, the first spine 124 is engaged to the first female connector 134. In other examples, when the first strip 104 is tightened or adjusted on the head of a person, the end of the first strap 114 may extend past the first female connector 134 as discussed in detail below.
In the illustrated example, the first female connector 134 is removably coupled to the first male connect 154 such that the strip 104 may be selectively removed from the male connector 154 and the band 102 and reattached to the first male connector 154 or another one of the male connectors 156-172. The first female connector 134 is also rotatable relative to the first male connector 154 to enable adjustment of the relative angle between the first strip 104 and the band 102. Also, in the example shown, the first female connector 134 and first male connector 154 are magnetically coupled. However, in other examples, the first female connector 134 and the first male connector 154 are attached by other fastening mechanisms.
As shown in
In the example shown, a top side 404 of the example first male connector 154 has an annular rim or protrusion 406 that extends outward from the top side 404 of the body 400 and which forms a cup or cavity 407. A magnet or magnetic plate is disposable in the cavity 407 to facilitate coupling of the example first male connector 154 to the example first female connector 134. In addition, the protrusion 406 is selectively removably insertable into the cavity 310 of the first female connector 134.
A bottom side 408 of the example first male connector 154 has two clips 410, 412. In other examples, there are other numbers of clips such as, for example, one, three, zero, etc. In the example shown, the clips 410, 412 are elongated sections of the body 400 that are displaced (e.g., indented) into the passage 402 of the body 400. In some examples, the clips 410, 412 are spring clips or leaf springs. In other examples, the example first male connector 154 includes one or more clips that are not integrally formed with and that are coupled to the first male connector 154 to the join the male connector 154 and the band 102. The example clips 410, 412 frictionally engage the band 102 (shown in
In the example shown, the body 400 of the example first male connector 154 forms a ring. In other examples, the body 400 may include a slit such that the band 102 may be slid through the slit and into the passage 402 of the body 400 to removably couple the first male connector 154 to the band 102.
In the example shown, the example first female connector 134 includes a first disc 504, and the example first male connector 154 includes a second disc 506. In the example shown, at least one of the first disc 504 and the second disc 506 is a magnet, and the other of the first disc 504 and the second disc 506 is magnetic for interacting with the magnet. The magnetic disc 506 may be, for example a magnetized metallic plate or other material. In other examples, both of the first disc 504 and the second disc 506 are magnets. The first disc 504 is to be disposed within the cavity 310 of the first female connector 134, and the second disc 506 is to be disposed within the cavity 407 of the first male connector 154. The discs 504, 506 may be coupled to their respective connectors 134, 154 by adhesive, friction fit or any other mechanism for coupling two components together. In some examples, the first magnetic disc 504 is coupled to the cavity 407 of the first male connector 154, and the second magnetic disc 506 is coupled to the cavity 310 of the first female connector 134. Also, in some examples, the female connector 134 or at least a portion of the first female connector 134 (e.g., the rim 312) comprises a magnetic material. Similarly, in some examples, the first male connector 154 or at least a portion of the first male connector 154 (e.g., the lip 406) comprises a magnetic material.
The magnet or the first disc 504 and the magnetic disc or the second disc 506 cause the example first female connector 134 and the example first male connector 154 to attract each other and form a magnetic bond. Specifically, when engaged, as shown in
In some examples, when adjusting the first strip 104 on the headset 100, the first female connector 134 is coupled to the first male connecter 154 and the stop 500 is engaged with the first female connector 134 (e.g., the position shown in
In some examples, different size strips are manufactured to accommodate different size heads. For example, a person with a head measuring 62-64 centimeters (cm) may use a headset with strips measuring a first length, and a person with a head measuring 58-62 cm may use a headset with strips measuring a second length, shorter than the first length. Therefore a plurality of different sized strips may be used with a headset to comfortably accommodate any sized/shape head.
In some examples, when assembling example headset 100, the example strips 104-112 are coupled to the male connectors 154-172 on the band 102 and then the headset 100 is placed on the head of a person. The central support 174 and the processing unit 176 may also be attached to the strips 104-112 prior to placing the headset 100 on the head of a person. In other examples, the band 102 is placed on the head of a person (e.g., by clipping two ends of the band 102 together or stretching an elastic band over the head) and then each of the example strips 104-112 is individually coupled (e.g., magnetically) to the male connectors 154-172 on the band 102. The male connectors 154-172 are slidable along the band 102 to adjust the location of the strips 104-112 and, thus, the respective arrays of electrodes on each of the strips 104-112 relative to the head of the person. The example female connectors 134-152 are also rotatable on their respective example male connectors 154-172, further allowing the strips 104-112 to be positioned (e.g., angled) on the head of a person. The magnetic coupling between the male and female connectors 134-172 also provides a safety function by enabling example the strips 104-112 to easily be disconnected from the band 102 if too much force is exerted on the band 102. For example, if the strips 104-112 of the headset 100 are snagged or caught on a foreign object, the magnetic force of the male and female connectors may be overcome, and the example strips 104-112 disconnect from the band 102.
In the example shown, the clip 600 includes a first electrode 602 and a second electrode 604. In some examples, one or both of the electrodes 602, 604 is a reference or ground electrode. In other examples, one or both of the electrodes may be used to gather other EEG signals from a person's head. In still other examples, one of the electrodes is used for shielding while the other electrode may be used as a reference or ground electrode or to gather EEG data from the person's head.
As shown in
The first and second terminals 606, 610 couple the wires 608, 612 and, thus, the electrodes 602, 604 to the example processing unit 176 (
As shown in
In the example shown, the body 704 and the cups 700, 702 may be formed as unitary piece (e.g., molded as one component). In other examples, the body 704 and the cups 700, 702 are made of separate pieces and coupled together to form the clip 600. Also, in some examples, the first and second cups 700, 702 include metallic rings or cups molded (e.g., encased) inside the cups 700, 702 (e.g., plastic is poured over the metallic cups). The metallic cups provide shielding against line noise and other type(s) of noise.
A first disc 708 is disposed in the first cup 700 and a second disc 710 is disposed in the second cup 702. In some examples, the one or both of the discs 708, 710 are magnetic such as, for example, comprising a metallic material. In some examples, the discs 708, 710 are magnetically attracted to the metallic cups molded within the first and second cups 700, 702, such that when the discs 708, 710 are placed in the first and second cups 700, 702, a magnetic force releasably secures the discs 708, 710 in the respective cup 700, 702.
In the illustrated example, the clip 600 includes the first electrode 602 disposed in the first cup 700 and the second electrode 604 disposed in the second cup 702. In some examples, the first electrode 602 includes a first flange 712 to hold such as, for example, via a friction fit, the first electrode 602 in the first cup 700. The first flange 712 engages an undercut or a wall of the first cup 700. Similarly, the second electrode 604 includes a second flange 714 to hold the second electrode 604 in the second cup 702. In some examples, an edge of the electrodes 602, 604 provide the friction to secure the electrodes 602, 604 in place.
In some examples, the electrodes 602, 604 do not include flanges and are, for example, flat or cup-shaped on the bottom. In some examples, the first and second electrodes 602, 604 are made of a metallic material and/or are coated (e.g., anodized or plated) with a metallic material (e.g., silver, gold, etc.). In such examples, the metallic electrodes and/or the coatings are magnetically attracted to the discs 708, 710, and the magnetic force releasably holds the electrodes 602, 604 in the respective cups 700, 702.
In the example shown, the clip 600 has two electrodes 602, 604. However, in other examples only one electrode may be used in one of the cups 700, 702. In such examples, the cups 700, 702 include both discs 708, 710 to create a magnetic force and hold the clip against the body (e.g., skin, an ear lobe, etc.) of a person.
As mentioned above, the example clip 600 may be coupled against a person's forehead or to a person's earlobe or nose. When the example clip 600 is to be coupled to the forehead, the clip 600 is in the flat or substantially flat orientation shown in
To couple the example clip 600 to the earlobe or nose, the body 704 of the clip 600 may be folded or bent such the first cup 700 and the second cup 702 are moved toward each other in an opposed orientation.
In some examples, the discs 708, 710 (e.g., magnetic plates, metal plates) disposed within the cups 700, 702 cause the cups 700, 702 to magnetically attract each other and, thus, the clip 600 remains in a closed position or bent position (e.g., the position shown in
In some examples, one or more electrodes 902 are coupled to a body of a person via a clip such, as for examples, the clip 600 shown in
The example electrodes 902 may also be adjustably mechanically coupled, such as for example, via the strips to the band where the magnetic fasteners are supported to releasably hold the strips and, thus, the electrodes 902 in different positions along the scalp. An example magnetic fastener includes the male connector and female connector assembly disclosed above.
The electrodes 902 are also communicatively coupled to a processing unit 904 (e.g., the processing unit 176 of the headset 100 shown in
The analog-to-digital converter 908 converts the analog signals received at the electrodes 902 to digital signals. In some examples, the analog-to-digital converter 908 is located in the processing unit 904 in the housing of the headset. In other examples, the analog-to-digital converter 908 comprises multiple A-D converters located to service individual or sets of the electrodes to convert the signals as close to the source as possible, which may further reduce interference.
The signal conditioner 910 of the illustrated example prepares the gathered signals so that the data is in a more usable form. For example, the signal conditioner 910 may include an amplifier to amplify the signal to a more detectable level. In addition, the signal conditioner 910 may include a filter to remove noise from the signal. The filter may also be used as a bandpass filter to pass one or more frequency bands and/or manipulate select bands depending on the desired processing and/or analysis. In some examples, each of the electrodes 902 may include a signal conditioner at or near the electrode 902. The example signal conditioner 910 may include hardware and/or software to execute a signal conditioning method. In some examples, the signal conditioner includes a detrending unit to compensate for electrode polarization, in which there is slow movement of the voltage signal unrelated to brain wave activity due to polarization of the electrodes. The example processing unit 904 also provides signal processing that may include hardware and/or software to execute Fast Fourier Transform (FFT) calculations, coherence measurements and/or custom adaptive filtering.
The analyzer 914 is to analyze the data gathered from the electrodes 902 and processed by the analog-to-digital converter 908 and the signal conditioner 910 in accordance with one or more analysis protocols depending on the desired study. For example, in accordance with some studies, the analyzer 914 may process the data to determine one or more of a subject's mental state, physiological state, attention, resonance or memory, emotional engagement and/or other suitable characteristics of the subject.
The transmitter 916 communicates the data at any stage of processing and/or the results of the analysis from the analyzer 914 to an output 918. The output 918 could be a handheld device, an alarm, a display screen on the headset, a remote server, a remote computer and/or any other suitable output. Data transmission may be implemented by Bluetooth transmission, wi-fi transmission, ZiGBee transmission and/or encryption before transmission. In the illustrated example, the database 912 stores all data gathered streams. The streams can be buffered for streaming or stored on-board (i.e., at the headset) for periodic or aperiodic uploads during, for example, low-activity periods.
The processing unit 904 components 908-916 are communicatively coupled to other components of the example system 900 via communication links 920. The communication links 920 may be any type of wired connection (e.g., a databus, a USB connection, etc.) or a wireless communication mechanism (e.g., radio frequency, infrared, etc.) using any past, present or future communication protocol (e.g., Bluetooth, USB 2.0, USB 3.0, etc.). Also, the components of the example system 900 may be integrated in one device or distributed over two or more devices.
While example manner of implementing the system 900 has been illustrated in
Flowcharts representative of example instructions, at least some of which are machine readable, for implementing the headset 100 and/or system 900 of
As mentioned above, the example process of
The example process 1000 includes attaching and adjusting one or more strips (block 1004). In some examples, each strip includes a plurality of electrodes and each strip is removably and adjustably coupled on each end to the band such that the strip is disposed over the head of the person. The example headset 100 disclosed above includes the plurality of attachable/detachable strips 104-112 each having their respective spine structures 124-132 and straps 114-122. The spine structures 124-132 include an array (e.g., one or more) of electrodes for gathering signals along the scalp of the person. The headset 100 may include two, three, four or ten or more individual strips 104-112. The strips 104-12 are fastened (e.g., magnetically) at each end to the band 102 and are disposed over the head of a person. In some examples, the strips 104-112 include the female connectors 134-152 that magnetically couple to the male connectors 154-172, which in turn slidably couple to the band 102.
In some examples, each of the male connectors 154-172 includes a passage that allows the male connectors 154-172 to slide along the band 102 and, thus, the ends of the strips 104-112 are also slidable along the band 102 when connected to the male connectors 154-172, which laterally adjusts the respective strips 104-112. The female connectors 134-152 are also rotatable on the male connectors 154-172 to adjust an angle of the respective strips 104-112 relative to the band 102. Therefore, the strips 104-112 may be independently adjusted on the head of a person laterally and/or rotationally to a specific location where EEG readings are desired and/or are most effective. In some examples, the headset 100 includes the central support 174, and adjusting the strip 104-112 includes independently sliding the strip 104-112 along the central support 174.
In some examples, only one strip is attached to the band and adjusted. If additional strip(s) are desired, then more strip(s) may be added as needed and/or desired (block 1004). In the example headset described above, five strips are utilized to gather EEG signals along the scalp. In other examples, three, four or ten or more strip may be attached to the band. In some examples, the headset is pre-assembled and the example process 1000 includes placing the headset on the head of the person and adjusting the strips such as, for example, laterally and/or rotationally adjusting the strips. With a pre-assembled headset, attachment of the strips may occur before the example EEG data gathering process 1000. For example, a manufacturer may attach the strips.
The example process 1000 includes determining whether a reference or ground electrode separate from the headset is to be used (block 1006). If a reference or ground electrode separate from the headset is not to be used, then signals are gathered (block 1008) from the one or more of the strip(s) that are coupled to the headset.
If a reference or ground electrode separate from the headset is to be used (block 1006), then the example process 1000 includes placing one or more electrodes in a clip (block 1010) such as, for example, the example clip 600 disclosed above. In the example clip 600 disclosed above, a first electrode is placed in one of the cups 700, 702 and a second electrode may be placed in the other cup 700, 702.
The example process 1000 includes attaching the clip to the band (block 1012) or clipping the clip to a body of the person (block 1014). In the example clips 600 disclosed above, the clip 600 includes the flexible body 704 that may be laid flat or bent. In the flat position, the clip 600 (and the one or two electrodes) may be attached to the band 102. In some examples, the clip 600 is attached at a front of the band 102 such that the electrodes (e.g., the electrodes 602, 604) lie against the forehead of the person. In other examples, the clip 600 may be used to clip onto the skin or a portion of the person's body. In such examples, the discs 708, 710 in the cups 700, 702 may be magnets and/or metallic plates are arranged to attract each other. The body 704 of the clip 600 is flexible and as the ends of the clip 600 attract each other (e.g., via magnetic force), the clip 600 may be clipped on the skin or body of a person such that the electrodes 602, 604 are in contact with the skin. In some examples, the clip 600 is clipped onto an earlobe of the person. In some examples, two electrodes 602, 604 are used in the clip 600 and, therefore, two reference or ground signals are gathered from the clip 600. In some examples, the electrodes 602, 604 are not reference or ground electrodes, but are utilized to gather additional EEG signals from additional regions on the person's body (e.g., the forehead). In some examples, one of the electrodes 602, 604 is used as a shield for the other electrode in the clip 600.
The example process 1000 also includes determining if additional ground or reference electrodes are to be used (block 1016). If it is determined that additional ground or reference electrodes are required, then additional clips can be used to attach the ground or reference electrodes to the body of the person (e.g., attached to the band, attached to the earlobe) (block 1018).
The example process 1000 also includes attaching terminals, to which the electrodes are coupled to a processing unit or to another terminal (block 1020). For example, in the examples disclosed above, the ground or reference electrodes 602, 604 are coupled to terminals 606, 610, which are used to couple the electrodes 602, 604 to the processing unit 176 on the headset 100. The example terminals 606, 610 disclosed above include fasteners such as, for example, the pins 614a-c, the magnetic pads 616a, 616b, 620a, 620b, and apertures 618a-c to enable the attachment disclosed above. In some examples, the terminals are pre-attached to the processing unit and/or another terminal.
In addition, the example process 1000 includes gathering signals from the electrodes of the headset and/or the one or more ground/reference electrodes (block 1008). The signals may be monitored, analyzed, manipulated, etc. Once the monitoring is complete, the example method 1000 ends (block 1022).
In the illustrated example, the signals are conditioned (block 1106) to improve the usefulness of the signals and the accessibility of the data contained therein. For example, as disclosed above, the conditioning may include amplifying the signals and/or filtering the signals (e.g., with a bandpass filter).
The signals are analyzed (block 1108) to, for example, determine a mental state of the subject, a health condition, an engagement with media as an audience member or effectiveness of the media, an input desire for an electrical device and/or otherwise in accordance with the teachings of this disclosure. For example, the EEG data is analyzed to evaluate brain activity in particular frequency bands of the EEG data and/or in particular regions of the brain. Assessments and/or calculations of the relationship(s) and correlation(s) of the frequency bands and regions of activity of the EEG data are used to determine an emotional or mental state of a person including, for example, attention, emotional engagement, memory or resonance, etc.
For example, the regions of brain activity, the interaction between regions of brain activity, and/or the interactions including couplings between frequency bands signify particular mental states. Also, inter-regional coherencies of frequency band as measured from gain and/or phase may be used to estimate the effectiveness of media in evoking a desired response (e.g., attention) in a person. In addition, inter-hemispheric measurement, asymmetry in one or more frequency bands, asymmetry in inter-regional intra-hemispheric coherence and/or asymmetry in inter-regional intra-hemispheric inter-frequency coupling may be used to measure of emotional engagement.
For example, the signals may be analyzed to determine or calculate an interaction between a first frequency band of the EEG data and a second frequency band of the EEG by detecting a first pattern of oscillation in the first frequency band, detecting a second pattern of oscillation in the second frequency band and identifying a degree of phase synchrony between the first pattern and the second pattern. The analysis may, for example, provide an effectiveness evaluation of media the person observed or consumed when the signals were generated. In this example, the media effectiveness may be based on the degree of phase synchrony.
In other example, the signals may be analyzed to detect a first pattern of oscillation in a first frequency band of EEG data and to detect a second pattern of oscillation in a second frequency band of the EEG data. A degree of phase synchrony is identified between the first pattern from the first frequency band and the second pattern from the second frequency band by detecting a repeating sequence of relative phase angles between the first pattern of oscillation in the first frequency band and the second pattern of oscillation in the second frequency band. The analysis also may, for example, provide an effectiveness evaluation of media the person observed or consumed when the signals were generated. In this example, the media effectiveness evaluation is based on the degree of the phase synchrony at a specific point in time.
In other examples, the signals may be analyzed to determine effectiveness data for media based on a degree of asymmetry between a first frequency band of the EEG data for measured in a first hemisphere of a brain of a panelist and a second frequency band of the EEG data measured in a second hemisphere of the brain. The degree of asymmetry is identified by detecting a first amplitude of the first frequency band and detecting a second amplitude of the second frequency band. The analysis compares the first amplitude and the second amplitude to determine a difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band. The degree of asymmetry is assigned to the relationship between the first frequency band and the second frequency band based on the difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band. Thus, in this example, the effectiveness of the media is based on a degree of inter-frequency, inter-hemispheric asymmetry, which is identified by comparing the amplitudes of two frequency bands from different hemispheres.
In another example, the an interaction between a first frequency band of EEG data and a second frequency band of EEG data of the signals is analyzed by calculating a degree of phase synchrony or amplitude synchrony. The phase synchrony or amplitude synchrony is determined by detecting a first pattern of oscillation in the first frequency band and detecting a second pattern of oscillation in the second frequency band. In addition, a repeating sequence of phase angles or relative amplitude between the first pattern of oscillation in the first frequency band and the second pattern of oscillation in the second frequency band is detected. The effectiveness of the media is based on the interaction.
In still another example, the signals are analyzed to determine effectiveness of media based on a first asymmetry between two amplitudes from two frequency bands and a second asymmetry between two different amplitudes of the frequency bands. Specifically, in this example, the analysis identifies a first asymmetry in two frequency bands of EEG data related to a first portion of the media. The first asymmetry identified by comparing a first amplitude of the first frequency band and a second amplitude of the second frequency band to determine a first difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band. In addition, a first value is assigned to the first asymmetry based on the first difference between the first amplitude of the first frequency band and the second amplitude of the second frequency band. The analysis also includes identifying a second asymmetry in two frequency bands of EEG data related to a second portion of the media. The first and second portions of the media may be temporally disparate portions of the media or different portions that are concurrently experienced by the panelist (e.g., video and audio). The second asymmetry is identified by comparing a third amplitude of the first frequency band and a fourth amplitude of the second frequency band to determine a second difference between the third amplitude of the first frequency band and the fourth amplitude of the second frequency band. A second value is assigned to the second asymmetry based on the second difference between the third amplitude of the first frequency band and the fourth amplitude of the second frequency band. An effectiveness of the media is assessed for each of the first and second portions based on the first value of the first asymmetry and the second value of the second asymmetry.
In the illustrated example, the signals (e.g., the results of the analysis) are transmitted to an output (block 1110), such as, for example, the output 918 of the example system 900. Example modes of output are detailed above including, for example, sounding an alarm, displaying a message and/or other alert on a screen, issuing a report to a local and/or remote computer and/or any other suitable output. In addition, the output may include the wired or wireless communications detailed herein. In some examples, the output includes data reflected of a person paying attention, the person not paying attention, the person in a state of semi-involvement with a media program, or other mental state of the person, and the identity of the program are transmitted to, for example a remote data facility. Raw data, processed data, a history log or an indicator of audience measurement also may be transmitted to the remote data for collection. The remote data facility may be, for example, a marketing company, a broadcast company, an entertainment studio, a television network and/or any other organization that might benefit from or otherwise desire to know when people are and/or are not focused on broadcast programs and what those programs are. This example allows broadcasting companies and/or marketing personnel to analyze which programs people are watching, when they are watching the programs and/or when they are focused during the broadcast. After the output (block 1110), the example process 1100 ends (block 1112).
The processor platform 1200 of the illustrated example includes a processor 1212. The processor 1212 of the illustrated example is hardware. For example, the processor 1212 can be implemented by one or more integrated circuits, logic circuits, microprocessors or controllers from any desired family or manufacturer.
The processor 1212 of the illustrated example includes a local memory 1213 (e.g., a cache). The processor 1212 of the illustrated example is in communication with a main memory including a volatile memory 1214 and a non-volatile memory 1216 via a bus 1218. The volatile memory 1214 may be implemented by Synchronous Dynamic Random Access Memory (SDRAM), Dynamic Random Access Memory (DRAM), RAMBUS Dynamic Random Access Memory (RDRAM) and/or any other type of random access memory device. The non-volatile memory 1216 may be implemented by flash memory and/or any other desired type of memory device. Access to the main memory 1214, 1216 is controlled by a memory controller.
The processor platform 1200 of the illustrated example also includes an interface circuit 1220. The interface circuit 1220 may be implemented by any type of interface standard, such as an Ethernet interface, a universal serial bus (USB), and/or a PCI express interface.
In the illustrated example, one or more input devices 1222 are connected to the interface circuit 1220. The input device(s) 1222 permit(s) a person to enter data and commands into the processor 1212. The input device(s) can be implemented by, for example, an audio sensor, a microphone, a camera (still or video), a keyboard, a button, a mouse, a touchscreen, a track-pad, a trackball, isopoint and/or a voice recognition system.
One or more output devices 1224 are also connected to the interface circuit 1220 of the illustrated example. The output devices 1224 can be implemented, for example, by display devices (e.g., a light emitting diode (LED), an organic light emitting diode (OLED), a liquid crystal display, a cathode ray tube display (CRT), a touchscreen, a tactile output device and or a light emitting diode (LED). The interface circuit 1220 of the illustrated example, thus, typically includes a graphics driver card, a graphics driver chip or a graphics driver processor.
The interface circuit 1220 of the illustrated example also includes a communication device such as a transmitter, a receiver, a transceiver, a modem and/or network interface card to facilitate exchange of data with external machines (e.g., computing devices of any kind) via a network 1226 (e.g., an Ethernet connection, a digital subscriber line (DSL), a telephone line, coaxial cable, a cellular telephone system, etc.).
The processor platform 1200 of the illustrated example also includes one or more mass storage devices 1228 for storing software and/or data. Examples of such mass storage devices 1228 include floppy disk drives, hard drive disks, compact disk drives, Blu-ray disk drives, RAID systems, and digital versatile disk (DVD) drives.
The coded instructions 1232 of
Although certain example apparatus have been described herein, the scope of coverage of this patent is not limited thereto. On the contrary, this patent covers all methods, apparatus, and articles of manufacture fairly falling within the scope of the appended claims either literally or under the doctrine of equivalents.
This patent arises from a continuation of U.S. application Ser. No. 15/078,547, titled “METHODS AND APPARATUS TO GATHER AND ANALYZE ELECTROENCEPHALOGRAPHIC DATA,” filed Mar. 23, 2016, which is a continuation of U.S. application Ser. No. 13/829,849 (now U.S. Pat. No. 9,320,450), titled “METHODS AND APPARATUS TO GATHER AND ANALYZE ELECTROENCEPHALOGRAPHIC DATA,” filed Mar. 14, 2013, both of which are incorporated herein by this reference in their entireties.
Number | Name | Date | Kind |
---|---|---|---|
2409033 | Garceau | Oct 1946 | A |
2549836 | McIntyre et al. | Apr 1951 | A |
3490439 | Rolston | Jan 1970 | A |
3508541 | Westbrook et al. | Apr 1970 | A |
3572322 | Wade | Mar 1971 | A |
3735753 | Pisarski | May 1973 | A |
3880144 | Coursin et al. | Apr 1975 | A |
3901215 | John | Aug 1975 | A |
3998213 | Price | Dec 1976 | A |
4033334 | Fletcher et al. | Jul 1977 | A |
4075657 | Weinblatt | Feb 1978 | A |
4149716 | Scudder | Apr 1979 | A |
4201224 | John | May 1980 | A |
4213463 | Osenkarski | Jul 1980 | A |
4279258 | John | Jul 1981 | A |
4397331 | Medlar | Aug 1983 | A |
4411273 | John | Oct 1983 | A |
4417592 | John | Nov 1983 | A |
4480361 | Morita | Nov 1984 | A |
4537198 | Corbett | Aug 1985 | A |
4557270 | John | Dec 1985 | A |
4610259 | Cohen et al. | Sep 1986 | A |
4613951 | Chu | Sep 1986 | A |
4626904 | Lurie | Dec 1986 | A |
4632122 | Johansson et al. | Dec 1986 | A |
4640290 | Sherwin | Feb 1987 | A |
4683892 | Johansson et al. | Aug 1987 | A |
4695879 | Weinblatt | Sep 1987 | A |
4709702 | Sherwin | Dec 1987 | A |
4736494 | Marchesi | Apr 1988 | A |
4736751 | Gevins et al. | Apr 1988 | A |
4755045 | Borah et al. | Jul 1988 | A |
4770180 | Schmidt et al. | Sep 1988 | A |
4800888 | Itil et al. | Jan 1989 | A |
4802484 | Friedman et al. | Feb 1989 | A |
4846190 | John | Jul 1989 | A |
4865038 | Rich et al. | Sep 1989 | A |
4885687 | Carey | Dec 1989 | A |
4894777 | Negishi et al. | Jan 1990 | A |
4913160 | John | Apr 1990 | A |
4928696 | Henderson | May 1990 | A |
4931934 | Snyder | Jun 1990 | A |
4936306 | Doty | Jun 1990 | A |
4955388 | Silberstein | Sep 1990 | A |
4967038 | Gevins et al. | Oct 1990 | A |
4974602 | Abraham-Fuchs et al. | Dec 1990 | A |
4987903 | Keppel et al. | Jan 1991 | A |
5003986 | Finitzo et al. | Apr 1991 | A |
5010891 | Chamoun | Apr 1991 | A |
5024235 | Ayers | Jun 1991 | A |
5038782 | Gevins et al. | Aug 1991 | A |
5052401 | Sherwin | Oct 1991 | A |
5083571 | Prichep | Jan 1992 | A |
RE34015 | Duffy | Aug 1992 | E |
5137027 | Rosenfeld | Aug 1992 | A |
5144952 | Frachet et al. | Sep 1992 | A |
5213338 | Brotz | May 1993 | A |
5226177 | Nickerson | Jul 1993 | A |
5243517 | Schmidt et al. | Sep 1993 | A |
5273037 | Itil et al. | Dec 1993 | A |
5291888 | Tucker | Mar 1994 | A |
5293867 | Oommen | Mar 1994 | A |
5295491 | Gevins | Mar 1994 | A |
5339826 | Schmidt et al. | Aug 1994 | A |
5345934 | Highe et al. | Sep 1994 | A |
5348006 | Tucker | Sep 1994 | A |
5355883 | Ascher | Oct 1994 | A |
5357957 | Itil et al. | Oct 1994 | A |
5363858 | Farwell | Nov 1994 | A |
5392788 | Hudspeth | Feb 1995 | A |
5406956 | Farwell | Apr 1995 | A |
5406957 | Tansey | Apr 1995 | A |
5447166 | Gevins | Sep 1995 | A |
5450855 | Rosenfeld | Sep 1995 | A |
5452718 | Clare et al. | Sep 1995 | A |
5473799 | Aoki | Dec 1995 | A |
5474082 | Junker | Dec 1995 | A |
5479934 | Imran | Jan 1996 | A |
5513649 | Gevins et al. | May 1996 | A |
5518007 | Becker | May 1996 | A |
5537618 | Boulton et al. | Jul 1996 | A |
5579774 | Miller et al. | Dec 1996 | A |
5601090 | Musha | Feb 1997 | A |
5617855 | Waletzky et al. | Apr 1997 | A |
5645577 | Froberg et al. | Jul 1997 | A |
5649061 | Smyth | Jul 1997 | A |
5655534 | Ilmoniemi | Aug 1997 | A |
5676138 | Zawilinski | Oct 1997 | A |
5692906 | Corder | Dec 1997 | A |
5697369 | Long, Jr. et al. | Dec 1997 | A |
5720619 | Fisslinger | Feb 1998 | A |
5724987 | Gevins et al. | Mar 1998 | A |
5729205 | Kwon | Mar 1998 | A |
5736986 | Sever, Jr. | Apr 1998 | A |
5740035 | Cohen et al. | Apr 1998 | A |
5740812 | Cowan | Apr 1998 | A |
5762611 | Lewis et al. | Jun 1998 | A |
5771897 | Zufrin | Jun 1998 | A |
5772591 | Cram | Jun 1998 | A |
5774591 | Black et al. | Jun 1998 | A |
5787187 | Bouchard et al. | Jul 1998 | A |
5788648 | Nadel | Aug 1998 | A |
5800351 | Mann | Sep 1998 | A |
5812642 | Leroy | Sep 1998 | A |
5817029 | Gevins et al. | Oct 1998 | A |
5848399 | Burke | Dec 1998 | A |
5868670 | Randell | Feb 1999 | A |
5945863 | Coy | Aug 1999 | A |
5954642 | Johnson et al. | Sep 1999 | A |
5961332 | Joao | Oct 1999 | A |
5983129 | Cowan et al. | Nov 1999 | A |
5983214 | Lang et al. | Nov 1999 | A |
6001065 | DeVito | Dec 1999 | A |
6002957 | Finneran | Dec 1999 | A |
6021346 | Ryu et al. | Feb 2000 | A |
6052619 | John | Apr 2000 | A |
6099319 | Zaltman et al. | Aug 2000 | A |
6120440 | Goknar | Sep 2000 | A |
6128521 | Marro et al. | Oct 2000 | A |
6154669 | Hunter et al. | Nov 2000 | A |
6155927 | Levasseur et al. | Dec 2000 | A |
6161030 | Levendowski et al. | Dec 2000 | A |
6170018 | Voll et al. | Jan 2001 | B1 |
6171239 | Humphrey | Jan 2001 | B1 |
6173260 | Slaney | Jan 2001 | B1 |
6175753 | Menkes et al. | Jan 2001 | B1 |
6228038 | Claessens | May 2001 | B1 |
6233472 | Bennett et al. | May 2001 | B1 |
6236885 | Hunter et al. | May 2001 | B1 |
6254536 | DeVito | Jul 2001 | B1 |
6259889 | LaDue | Jul 2001 | B1 |
6270466 | Weinstein et al. | Aug 2001 | B1 |
6280198 | Calhoun et al. | Aug 2001 | B1 |
6286005 | Cannon | Sep 2001 | B1 |
6289234 | Mueller | Sep 2001 | B1 |
6292688 | Patton | Sep 2001 | B1 |
6301493 | Marro et al. | Oct 2001 | B1 |
6309342 | Blazey et al. | Oct 2001 | B1 |
6315569 | Zaltman | Nov 2001 | B1 |
6322368 | Young et al. | Nov 2001 | B1 |
6330470 | Tucker et al. | Dec 2001 | B1 |
6334778 | Brown | Jan 2002 | B1 |
6349231 | Musha | Feb 2002 | B1 |
6374143 | Berrang et al. | Apr 2002 | B1 |
6381481 | Levendowski et al. | Apr 2002 | B1 |
6398643 | Knowles et al. | Jun 2002 | B1 |
6408200 | Takashina | Jun 2002 | B1 |
6422999 | Hill | Jul 2002 | B1 |
6425764 | Lamson | Jul 2002 | B1 |
6434419 | Gevins et al. | Aug 2002 | B1 |
6453194 | Hill | Sep 2002 | B1 |
6481013 | Dinwiddie et al. | Nov 2002 | B1 |
6487444 | Mimura | Nov 2002 | B2 |
6488617 | Katz | Dec 2002 | B1 |
6510340 | Jordan | Jan 2003 | B1 |
6520905 | Surve et al. | Feb 2003 | B1 |
6545685 | Dorbie | Apr 2003 | B1 |
6574513 | Collura et al. | Jun 2003 | B1 |
6575902 | Burton | Jun 2003 | B1 |
6577329 | Flickner et al. | Jun 2003 | B1 |
6585521 | Obrador | Jul 2003 | B1 |
6594521 | Tucker | Jul 2003 | B2 |
6598006 | Honda et al. | Jul 2003 | B1 |
6606102 | Odom | Aug 2003 | B1 |
6606519 | Powell | Aug 2003 | B2 |
6609024 | Ryu et al. | Aug 2003 | B1 |
6623428 | Miller et al. | Sep 2003 | B2 |
6626676 | Freer | Sep 2003 | B2 |
6648822 | Hamamoto et al. | Nov 2003 | B2 |
6652283 | Van Schaack et al. | Nov 2003 | B1 |
6654626 | Devlin et al. | Nov 2003 | B2 |
6656116 | Kim et al. | Dec 2003 | B2 |
6662052 | Sarwal et al. | Dec 2003 | B1 |
6665560 | Becker et al. | Dec 2003 | B2 |
6678866 | Sugimoto et al. | Jan 2004 | B1 |
6688890 | von Buegner | Feb 2004 | B2 |
6699188 | Wessel | Mar 2004 | B2 |
6708051 | Durousseau | Mar 2004 | B1 |
6712468 | Edwards | Mar 2004 | B1 |
6754524 | Johnson, Jr. | Jun 2004 | B2 |
6757556 | Gopinathan et al. | Jun 2004 | B2 |
6788882 | Geer et al. | Sep 2004 | B1 |
6792304 | Silberstein | Sep 2004 | B1 |
6839682 | Blume et al. | Jan 2005 | B1 |
6842877 | Robarts et al. | Jan 2005 | B2 |
6904408 | McCarthy et al. | Jun 2005 | B1 |
6915148 | Finneran et al. | Jul 2005 | B2 |
6950698 | Sarkela et al. | Sep 2005 | B2 |
6958710 | Zhang et al. | Oct 2005 | B2 |
6961601 | Matthews et al. | Nov 2005 | B2 |
6973342 | Swanson | Dec 2005 | B1 |
6978115 | Whitehurst et al. | Dec 2005 | B2 |
6993380 | Modarres | Jan 2006 | B1 |
7035685 | Ryu et al. | Apr 2006 | B2 |
7050753 | Knutson | May 2006 | B2 |
7104801 | Brodnick et al. | Sep 2006 | B1 |
7113916 | Hill | Sep 2006 | B1 |
7120880 | Dryer et al. | Oct 2006 | B1 |
7127283 | Kageyama | Oct 2006 | B2 |
7130673 | Tolvanen-Laakso et al. | Oct 2006 | B2 |
7150715 | Collura et al. | Dec 2006 | B2 |
7164967 | Etienne-Cummings et al. | Jan 2007 | B2 |
7173437 | Hervieux et al. | Feb 2007 | B2 |
7177675 | Suffm et al. | Feb 2007 | B2 |
7194186 | Strub et al. | Mar 2007 | B1 |
7222071 | Neuhauser et al. | May 2007 | B2 |
7272982 | Neuhauser et al. | Sep 2007 | B2 |
7286871 | Cohen | Oct 2007 | B2 |
7340060 | Tomkins et al. | Mar 2008 | B2 |
7341458 | Koh | Mar 2008 | B1 |
D565735 | Washbon | Apr 2008 | S |
7359744 | Lee et al. | Apr 2008 | B2 |
7383728 | Noble et al. | Jun 2008 | B2 |
7391835 | Gross et al. | Jun 2008 | B1 |
7408460 | Crystal et al. | Aug 2008 | B2 |
7420464 | Fitzgerald et al. | Sep 2008 | B2 |
7440789 | Hannula et al. | Oct 2008 | B2 |
7443292 | Jensen et al. | Oct 2008 | B2 |
7443693 | Arnold et al. | Oct 2008 | B2 |
7460827 | Schuster et al. | Dec 2008 | B2 |
7463143 | Forr et al. | Dec 2008 | B2 |
7463144 | Crystal et al. | Dec 2008 | B2 |
7471978 | John et al. | Dec 2008 | B2 |
7471987 | Crystal et al. | Dec 2008 | B2 |
7483835 | Neuhauser et al. | Jan 2009 | B2 |
7496400 | Hoskonen et al. | Feb 2009 | B2 |
7548774 | Kurtz et al. | Jun 2009 | B2 |
7551952 | Gevins et al. | Jun 2009 | B2 |
7592908 | Zhang et al. | Sep 2009 | B2 |
7614066 | Urdang et al. | Nov 2009 | B2 |
7623823 | Zito et al. | Nov 2009 | B2 |
7627880 | Itakura | Dec 2009 | B2 |
7636456 | Collins et al. | Dec 2009 | B2 |
7650793 | Jensen et al. | Jan 2010 | B2 |
7672717 | Zikov et al. | Mar 2010 | B1 |
7689272 | Farwell | Mar 2010 | B2 |
7697979 | Martinerie et al. | Apr 2010 | B2 |
7698238 | Barletta et al. | Apr 2010 | B2 |
7715894 | Dunseath et al. | May 2010 | B2 |
7716697 | Moriwaka et al. | May 2010 | B2 |
7720351 | Levitan | May 2010 | B2 |
7729755 | Laken | Jun 2010 | B2 |
7739140 | Vinson et al. | Jun 2010 | B2 |
7742623 | Moon et al. | Jun 2010 | B1 |
7751878 | Merkle et al. | Jul 2010 | B1 |
7805009 | Everett et al. | Sep 2010 | B2 |
7809420 | Hannula et al. | Oct 2010 | B2 |
7840248 | Fuchs et al. | Nov 2010 | B2 |
7840250 | Tucker | Nov 2010 | B2 |
7853122 | Miura et al. | Dec 2010 | B2 |
7865394 | Calloway et al. | Jan 2011 | B1 |
7892764 | Xiong et al. | Feb 2011 | B2 |
7908133 | Neuhauser | Mar 2011 | B2 |
7917366 | Levanon et al. | Mar 2011 | B1 |
7942816 | Satoh et al. | May 2011 | B2 |
7946974 | Lordereau | May 2011 | B2 |
7962315 | Jensen et al. | Jun 2011 | B2 |
7988557 | Soderlund | Aug 2011 | B2 |
8014847 | Shastri et al. | Sep 2011 | B2 |
8027518 | Baker et al. | Sep 2011 | B2 |
8055722 | Hille | Nov 2011 | B2 |
8069125 | Jung et al. | Nov 2011 | B2 |
8082215 | Jung et al. | Dec 2011 | B2 |
8086563 | Jung et al. | Dec 2011 | B2 |
8098152 | Zhang et al. | Jan 2012 | B2 |
8103328 | Turner et al. | Jan 2012 | B2 |
8112141 | Wilson et al. | Feb 2012 | B2 |
8135606 | Dupree | Mar 2012 | B2 |
8151298 | Begeja et al. | Apr 2012 | B2 |
8165916 | Hoffberg et al. | Apr 2012 | B2 |
8179604 | Prada Gomez et al. | May 2012 | B1 |
8209224 | Pradeep et al. | Jun 2012 | B2 |
8229469 | Zhang et al. | Jul 2012 | B2 |
8239030 | Hagedorn et al. | Aug 2012 | B1 |
8255267 | Breiter | Aug 2012 | B2 |
8270814 | Pradeep et al. | Sep 2012 | B2 |
8290563 | Jin et al. | Oct 2012 | B2 |
8300526 | Saito et al. | Oct 2012 | B2 |
8326396 | Picht et al. | Dec 2012 | B2 |
8327395 | Lee et al. | Dec 2012 | B2 |
8332883 | Lee et al. | Dec 2012 | B2 |
8335715 | Pradeep et al. | Dec 2012 | B2 |
8386312 | Pradeep et al. | Feb 2013 | B2 |
8386313 | Pradeep et al. | Feb 2013 | B2 |
8388165 | Zhang | Mar 2013 | B2 |
8392250 | Pradeep et al. | Mar 2013 | B2 |
8392251 | Pradeep et al. | Mar 2013 | B2 |
8392253 | Pradeep et al. | Mar 2013 | B2 |
8392254 | Pradeep et al. | Mar 2013 | B2 |
8392255 | Pradeep et al. | Mar 2013 | B2 |
8396744 | Pradeep et al. | Mar 2013 | B2 |
8442429 | Hawit | May 2013 | B2 |
8467133 | Miller | Jun 2013 | B2 |
8473345 | Pradeep et al. | Jun 2013 | B2 |
8477425 | Border et al. | Jul 2013 | B2 |
8484081 | Pradeep et al. | Jul 2013 | B2 |
8494610 | Pradeep et al. | Jul 2013 | B2 |
8494905 | Pradeep et al. | Jul 2013 | B2 |
8533042 | Pradeep et al. | Sep 2013 | B2 |
8548554 | Popescu et al. | Oct 2013 | B2 |
8548852 | Pradeep et al. | Oct 2013 | B2 |
8635105 | Pradeep et al. | Jan 2014 | B2 |
8655428 | Pradeep et al. | Feb 2014 | B2 |
8655437 | Pradeep et al. | Feb 2014 | B2 |
20010016874 | Ono et al. | Aug 2001 | A1 |
20010020236 | Cannon | Sep 2001 | A1 |
20010029468 | Yamaguchi et al. | Oct 2001 | A1 |
20010056225 | DeVito | Dec 2001 | A1 |
20020029005 | Levendowski et al. | Mar 2002 | A1 |
20020065826 | Bell et al. | May 2002 | A1 |
20020072952 | Hamzy et al. | Jun 2002 | A1 |
20020077534 | DuRousseau | Jun 2002 | A1 |
20020107454 | Collura et al. | Aug 2002 | A1 |
20020143627 | Barsade et al. | Oct 2002 | A1 |
20020154833 | Koch et al. | Oct 2002 | A1 |
20020155878 | Lert, Jr. et al. | Oct 2002 | A1 |
20020156842 | Signes et al. | Oct 2002 | A1 |
20020182574 | Freer | Dec 2002 | A1 |
20020188216 | Kayyali et al. | Dec 2002 | A1 |
20020188217 | Farwell | Dec 2002 | A1 |
20020193670 | Garfield et al. | Dec 2002 | A1 |
20030003433 | Carpenter et al. | Jan 2003 | A1 |
20030013981 | Gevins et al. | Jan 2003 | A1 |
20030036955 | Tanaka et al. | Feb 2003 | A1 |
20030055355 | Viertio-Oja | Mar 2003 | A1 |
20030059750 | Bindler et al. | Mar 2003 | A1 |
20030063780 | Gutta et al. | Apr 2003 | A1 |
20030066071 | Gutta et al. | Apr 2003 | A1 |
20030067486 | Lee et al. | Apr 2003 | A1 |
20030073921 | Sohmer et al. | Apr 2003 | A1 |
20030076369 | Resner et al. | Apr 2003 | A1 |
20030081834 | Philomin et al. | May 2003 | A1 |
20030093784 | Dimitrova et al. | May 2003 | A1 |
20030100998 | Brunner et al. | May 2003 | A2 |
20030104865 | Itkis et al. | Jun 2003 | A1 |
20030126593 | Mault | Jul 2003 | A1 |
20030153841 | Kilborn | Aug 2003 | A1 |
20030165270 | Endrikhovski et al. | Sep 2003 | A1 |
20030177488 | Smith et al. | Sep 2003 | A1 |
20030233278 | Marshall | Dec 2003 | A1 |
20040005143 | Tsuru et al. | Jan 2004 | A1 |
20040013398 | Miura et al. | Jan 2004 | A1 |
20040015608 | Ellis et al. | Jan 2004 | A1 |
20040018476 | LaDue | Jan 2004 | A1 |
20040039268 | Barbour et al. | Feb 2004 | A1 |
20040044382 | Ibrahim | Mar 2004 | A1 |
20040072133 | Kullok et al. | Apr 2004 | A1 |
20040073129 | Caldwell et al. | Apr 2004 | A1 |
20040077934 | Massad | Apr 2004 | A1 |
20040088289 | Xu et al. | May 2004 | A1 |
20040092809 | DeCharms | May 2004 | A1 |
20040098298 | Yin | May 2004 | A1 |
20040111033 | Oung et al. | Jun 2004 | A1 |
20040122303 | Kopke | Jun 2004 | A1 |
20040138546 | Reho et al. | Jul 2004 | A1 |
20040138580 | Frei et al. | Jul 2004 | A1 |
20040138581 | Frei et al. | Jul 2004 | A1 |
20040161730 | Urman | Aug 2004 | A1 |
20040187167 | Maguire et al. | Sep 2004 | A1 |
20040193068 | Burton et al. | Sep 2004 | A1 |
20040208496 | Pilu | Oct 2004 | A1 |
20040210159 | Kibar | Oct 2004 | A1 |
20040220483 | Yeo et al. | Nov 2004 | A1 |
20040236623 | Gopalakrishnan | Nov 2004 | A1 |
20040267141 | Amano et al. | Dec 2004 | A1 |
20050010087 | Banet et al. | Jan 2005 | A1 |
20050010116 | Korhonen et al. | Jan 2005 | A1 |
20050010475 | Perkowski et al. | Jan 2005 | A1 |
20050043774 | Devlin et al. | Feb 2005 | A1 |
20050045189 | Jay | Mar 2005 | A1 |
20050066307 | Patel et al. | Mar 2005 | A1 |
20050071865 | Martins | Mar 2005 | A1 |
20050076359 | Pierson et al. | Apr 2005 | A1 |
20050079474 | Lowe | Apr 2005 | A1 |
20050096311 | Suffm et al. | May 2005 | A1 |
20050097594 | O'Donnell et al. | May 2005 | A1 |
20050107716 | Eaton et al. | May 2005 | A1 |
20050113656 | Chance | May 2005 | A1 |
20050120372 | Itakura | Jun 2005 | A1 |
20050143629 | Farwell | Jun 2005 | A1 |
20050154290 | Langleben | Jul 2005 | A1 |
20050165285 | Iliff | Jul 2005 | A1 |
20050172311 | Hjelt et al. | Aug 2005 | A1 |
20050177058 | Sobell | Aug 2005 | A1 |
20050197556 | Stoler | Sep 2005 | A1 |
20050197590 | Osorio et al. | Sep 2005 | A1 |
20050203798 | Jensen et al. | Sep 2005 | A1 |
20050215916 | Fadem et al. | Sep 2005 | A1 |
20050223237 | Barletta et al. | Oct 2005 | A1 |
20050227233 | Buxton et al. | Oct 2005 | A1 |
20050240956 | Smith et al. | Oct 2005 | A1 |
20050272017 | Neuhauser et al. | Dec 2005 | A1 |
20050273017 | Gordon | Dec 2005 | A1 |
20050273802 | Crystal et al. | Dec 2005 | A1 |
20050277821 | Payne, Jr. | Dec 2005 | A1 |
20050288954 | McCarthy et al. | Dec 2005 | A1 |
20050289582 | Tavares et al. | Dec 2005 | A1 |
20060003732 | Neuhauser et al. | Jan 2006 | A1 |
20060010470 | Kurosaki et al. | Jan 2006 | A1 |
20060035707 | Nguyen et al. | Feb 2006 | A1 |
20060053110 | McDonald et al. | Mar 2006 | A1 |
20060064037 | Shalon et al. | Mar 2006 | A1 |
20060093998 | Vertegaal | May 2006 | A1 |
20060094970 | Drew | May 2006 | A1 |
20060111044 | Keller | May 2006 | A1 |
20060111621 | Coppi et al. | May 2006 | A1 |
20060111644 | Guttag et al. | May 2006 | A1 |
20060129458 | Maggio | Jun 2006 | A1 |
20060143647 | Bill | Jun 2006 | A1 |
20060167376 | Viirre et al. | Jul 2006 | A1 |
20060168613 | Wood et al. | Jul 2006 | A1 |
20060168630 | Davies | Jul 2006 | A1 |
20060173510 | Besio et al. | Aug 2006 | A1 |
20060189900 | Flaherty | Aug 2006 | A1 |
20060217598 | Miyajima et al. | Sep 2006 | A1 |
20060256133 | Rosenberg | Nov 2006 | A1 |
20060257834 | Lee et al. | Nov 2006 | A1 |
20060258926 | Ali et al. | Nov 2006 | A1 |
20060259360 | Flinn et al. | Nov 2006 | A1 |
20060265022 | John et al. | Nov 2006 | A1 |
20060277102 | Agliozzo | Dec 2006 | A1 |
20060293608 | Rothman et al. | Dec 2006 | A1 |
20060293921 | McCarthy et al. | Dec 2006 | A1 |
20070031798 | Gottfried | Feb 2007 | A1 |
20070048707 | Caamano et al. | Mar 2007 | A1 |
20070053513 | Hoftberg | Mar 2007 | A1 |
20070055169 | Lee et al. | Mar 2007 | A1 |
20070060830 | Le et al. | Mar 2007 | A1 |
20070060831 | Le et al. | Mar 2007 | A1 |
20070066874 | Cook | Mar 2007 | A1 |
20070066914 | Le et al. | Mar 2007 | A1 |
20070066915 | Frei et al. | Mar 2007 | A1 |
20070066916 | Lemos | Mar 2007 | A1 |
20070067007 | Schulman et al. | Mar 2007 | A1 |
20070067305 | Ives | Mar 2007 | A1 |
20070078706 | Datta et al. | Apr 2007 | A1 |
20070079331 | Datta et al. | Apr 2007 | A1 |
20070093706 | Gevins | Apr 2007 | A1 |
20070101360 | Gutta et al. | May 2007 | A1 |
20070106170 | Dunseath, Jr. et al. | May 2007 | A1 |
20070116037 | Moore | May 2007 | A1 |
20070135727 | Virtanen et al. | Jun 2007 | A1 |
20070135728 | Snyder et al. | Jun 2007 | A1 |
20070168461 | Moore | Jul 2007 | A1 |
20070173733 | Le et al. | Jul 2007 | A1 |
20070173886 | Rousso et al. | Jul 2007 | A1 |
20070177298 | Jaatinen et al. | Aug 2007 | A1 |
20070179396 | Le et al. | Aug 2007 | A1 |
20070184420 | Mathan et al. | Aug 2007 | A1 |
20070225585 | Washbon et al. | Sep 2007 | A1 |
20070225674 | Molnar et al. | Sep 2007 | A1 |
20070226760 | Neuhauser et al. | Sep 2007 | A1 |
20070235716 | Delic et al. | Oct 2007 | A1 |
20070238945 | Delic et al. | Oct 2007 | A1 |
20070249952 | Rubin et al. | Oct 2007 | A1 |
20070250846 | Swix et al. | Oct 2007 | A1 |
20070255127 | Mintz et al. | Nov 2007 | A1 |
20070265507 | de Lemos | Nov 2007 | A1 |
20070294132 | Zhang et al. | Dec 2007 | A1 |
20070294705 | Gopalakrishnan et al. | Dec 2007 | A1 |
20070294706 | Neuhauser et al. | Dec 2007 | A1 |
20080001600 | deCharms | Jan 2008 | A1 |
20080010110 | Neuhauser et al. | Jan 2008 | A1 |
20080027345 | Kumada et al. | Jan 2008 | A1 |
20080039737 | Breiter et al. | Feb 2008 | A1 |
20080040740 | Plotnick et al. | Feb 2008 | A1 |
20080059997 | Plotnick et al. | Mar 2008 | A1 |
20080065468 | Berg et al. | Mar 2008 | A1 |
20080065721 | Cragun | Mar 2008 | A1 |
20080081961 | Westbrook et al. | Apr 2008 | A1 |
20080082019 | Ludving et al. | Apr 2008 | A1 |
20080082020 | Collura | Apr 2008 | A1 |
20080086356 | Glassman et al. | Apr 2008 | A1 |
20080091512 | Marci et al. | Apr 2008 | A1 |
20080097854 | Young | Apr 2008 | A1 |
20080109840 | Walter et al. | May 2008 | A1 |
20080125110 | Ritter | May 2008 | A1 |
20080127978 | Rubin et al. | Jun 2008 | A1 |
20080144882 | Leinbach et al. | Jun 2008 | A1 |
20080147488 | Tunick et al. | Jun 2008 | A1 |
20080152300 | Knee et al. | Jun 2008 | A1 |
20080159365 | Dubocanin et al. | Jul 2008 | A1 |
20080162182 | Cazares et al. | Jul 2008 | A1 |
20080177197 | Lee et al. | Jul 2008 | A1 |
20080201731 | Howcroft | Aug 2008 | A1 |
20080204273 | Crystal et al. | Aug 2008 | A1 |
20080208072 | Fadem et al. | Aug 2008 | A1 |
20080211768 | Breen et al. | Sep 2008 | A1 |
20080214902 | Lee et al. | Sep 2008 | A1 |
20080218472 | Breen et al. | Sep 2008 | A1 |
20080221400 | Lee et al. | Sep 2008 | A1 |
20080221472 | Lee et al. | Sep 2008 | A1 |
20080221969 | Lee et al. | Sep 2008 | A1 |
20080222670 | Lee et al. | Sep 2008 | A1 |
20080222671 | Lee et al. | Sep 2008 | A1 |
20080228077 | Wilk et al. | Sep 2008 | A1 |
20080255949 | Genco et al. | Oct 2008 | A1 |
20080295126 | Lee et al. | Nov 2008 | A1 |
20080306398 | Uchiyama et al. | Dec 2008 | A1 |
20080312523 | Dunseath | Dec 2008 | A1 |
20090024017 | Ruffini et al. | Jan 2009 | A1 |
20090024049 | Pradeep et al. | Jan 2009 | A1 |
20090024447 | Pradeep et al. | Jan 2009 | A1 |
20090024448 | Pradeep et al. | Jan 2009 | A1 |
20090024449 | Pradeep et al. | Jan 2009 | A1 |
20090024475 | Pradeep et al. | Jan 2009 | A1 |
20090025023 | Pradeep et al. | Jan 2009 | A1 |
20090025024 | Beser et al. | Jan 2009 | A1 |
20090030287 | Pradeep et al. | Jan 2009 | A1 |
20090030303 | Pradeep et al. | Jan 2009 | A1 |
20090030717 | Pradeep et al. | Jan 2009 | A1 |
20090030762 | Lee et al. | Jan 2009 | A1 |
20090030930 | Pradeep et al. | Jan 2009 | A1 |
20090036755 | Pradeep et al. | Feb 2009 | A1 |
20090036756 | Pradeep et al. | Feb 2009 | A1 |
20090037575 | Crystal et al. | Feb 2009 | A1 |
20090060240 | Coughlan et al. | Mar 2009 | A1 |
20090062629 | Pradeep et al. | Mar 2009 | A1 |
20090062679 | Tan et al. | Mar 2009 | A1 |
20090062680 | Sandford | Mar 2009 | A1 |
20090062681 | Pradeep et al. | Mar 2009 | A1 |
20090063255 | Pradeep et al. | Mar 2009 | A1 |
20090063256 | Pradeep et al. | Mar 2009 | A1 |
20090069652 | Lee et al. | Mar 2009 | A1 |
20090070798 | Lee et al. | Mar 2009 | A1 |
20090082643 | Pradeep et al. | Mar 2009 | A1 |
20090082689 | Guttag et al. | Mar 2009 | A1 |
20090083129 | Pradeep et al. | Mar 2009 | A1 |
20090088610 | Lee et al. | Apr 2009 | A1 |
20090088619 | Turner | Apr 2009 | A1 |
20090089830 | Chandratillake et al. | Apr 2009 | A1 |
20090094286 | Lee et al. | Apr 2009 | A1 |
20090094627 | Lee et al. | Apr 2009 | A1 |
20090094628 | Lee et al. | Apr 2009 | A1 |
20090094629 | Lee et al. | Apr 2009 | A1 |
20090097689 | Prest et al. | Apr 2009 | A1 |
20090105576 | Do et al. | Apr 2009 | A1 |
20090112077 | Nguyen et al. | Apr 2009 | A1 |
20090119154 | Jung et al. | May 2009 | A1 |
20090131764 | Lee et al. | May 2009 | A1 |
20090133047 | Lee et al. | May 2009 | A1 |
20090150919 | Lee et al. | Jun 2009 | A1 |
20090156925 | Jin et al. | Jun 2009 | A1 |
20090158308 | Weitzenfeld et al. | Jun 2009 | A1 |
20090163777 | Jung et al. | Jun 2009 | A1 |
20090171181 | Kumada et al. | Jul 2009 | A1 |
20090195392 | Zalewski | Aug 2009 | A1 |
20090214060 | Chuang et al. | Aug 2009 | A1 |
20090222330 | Leinbach | Sep 2009 | A1 |
20090248484 | Surendran et al. | Oct 2009 | A1 |
20090248496 | Hueter et al. | Oct 2009 | A1 |
20090253996 | Lee et al. | Oct 2009 | A1 |
20090259137 | Delic et al. | Oct 2009 | A1 |
20090271122 | Hyde et al. | Oct 2009 | A1 |
20090292587 | Fitzgerald | Nov 2009 | A1 |
20090295738 | Chiang | Dec 2009 | A1 |
20090318773 | Jung et al. | Dec 2009 | A1 |
20090318826 | Green et al. | Dec 2009 | A1 |
20090327068 | Pradeep et al. | Dec 2009 | A1 |
20090328089 | Pradeep et al. | Dec 2009 | A1 |
20100004977 | Marci et al. | Jan 2010 | A1 |
20100022821 | Dubi et al. | Jan 2010 | A1 |
20100041962 | Causevic et al. | Feb 2010 | A1 |
20100042012 | Alhussiny | Feb 2010 | A1 |
20100049028 | Shin et al. | Feb 2010 | A1 |
20100060300 | Muller et al. | Mar 2010 | A1 |
20100075532 | Copp-Howland et al. | Mar 2010 | A1 |
20100076333 | Burton et al. | Mar 2010 | A9 |
20100081902 | McKenna et al. | Apr 2010 | A1 |
20100125190 | Fadem | May 2010 | A1 |
20100125219 | Harris et al. | May 2010 | A1 |
20100145176 | Himes | Jun 2010 | A1 |
20100145215 | Pradeep et al. | Jun 2010 | A1 |
20100145217 | Otto et al. | Jun 2010 | A1 |
20100160762 | McLaughlin et al. | Jun 2010 | A1 |
20100180029 | Fourman | Jul 2010 | A1 |
20100183279 | Pradeep et al. | Jul 2010 | A1 |
20100186031 | Pradeep et al. | Jul 2010 | A1 |
20100186032 | Pradeep et al. | Jul 2010 | A1 |
20100198042 | Popescu et al. | Aug 2010 | A1 |
20100214318 | Pradeep et al. | Aug 2010 | A1 |
20100215289 | Pradeep et al. | Aug 2010 | A1 |
20100218208 | Holden | Aug 2010 | A1 |
20100249538 | Pradeep et al. | Sep 2010 | A1 |
20100249636 | Pradeep et al. | Sep 2010 | A1 |
20100250325 | Pradeep et al. | Sep 2010 | A1 |
20100250458 | Ho | Sep 2010 | A1 |
20100257052 | Zito et al. | Oct 2010 | A1 |
20100268540 | Arshi et al. | Oct 2010 | A1 |
20100268573 | Jain et al. | Oct 2010 | A1 |
20100269127 | Krug | Oct 2010 | A1 |
20100274152 | McPeck et al. | Oct 2010 | A1 |
20100274153 | Tucker et al. | Oct 2010 | A1 |
20100306120 | Ciptawilangga | Dec 2010 | A1 |
20100317988 | Terada et al. | Dec 2010 | A1 |
20100325660 | Holden | Dec 2010 | A1 |
20100331661 | Nakagawa | Dec 2010 | A1 |
20110004089 | Chou | Jan 2011 | A1 |
20110015503 | Joffe et al. | Jan 2011 | A1 |
20110040202 | Luo et al. | Feb 2011 | A1 |
20110046473 | Pradeep et al. | Feb 2011 | A1 |
20110046502 | Pradeep et al. | Feb 2011 | A1 |
20110046503 | Pradeep et al. | Feb 2011 | A1 |
20110046504 | Pradeep et al. | Feb 2011 | A1 |
20110047121 | Pradeep et al. | Feb 2011 | A1 |
20110059422 | Masaoka | Mar 2011 | A1 |
20110085700 | Lee | Apr 2011 | A1 |
20110098593 | Low et al. | Apr 2011 | A1 |
20110105937 | Pradeep et al. | May 2011 | A1 |
20110106621 | Pradeep et al. | May 2011 | A1 |
20110106750 | Pradeep et al. | May 2011 | A1 |
20110119124 | Pradeep et al. | May 2011 | A1 |
20110119129 | Pradeep et al. | May 2011 | A1 |
20110131274 | Hille | Jun 2011 | A1 |
20110144519 | Causevic | Jun 2011 | A1 |
20110151728 | Astola | Jun 2011 | A1 |
20110153391 | Tenbrock | Jun 2011 | A1 |
20110161163 | Carlson et al. | Jun 2011 | A1 |
20110161790 | Junior et al. | Jun 2011 | A1 |
20110191142 | Huang et al. | Aug 2011 | A1 |
20110208515 | Neuhauser | Aug 2011 | A1 |
20110224569 | Isenhart et al. | Sep 2011 | A1 |
20110224570 | Causevic | Sep 2011 | A1 |
20110237923 | Picht et al. | Sep 2011 | A1 |
20110237971 | Pradeep et al. | Sep 2011 | A1 |
20110248729 | Mueller et al. | Oct 2011 | A2 |
20110257502 | Lee | Oct 2011 | A1 |
20110257937 | Lee | Oct 2011 | A1 |
20110270620 | Pradeep et al. | Nov 2011 | A1 |
20110276504 | Pradeep et al. | Nov 2011 | A1 |
20110282231 | Pradeep et al. | Nov 2011 | A1 |
20110282232 | Pradeep et al. | Nov 2011 | A1 |
20110282749 | Pradeep et al. | Nov 2011 | A1 |
20110298706 | Mann | Dec 2011 | A1 |
20110301431 | Greicius | Dec 2011 | A1 |
20110319975 | Ho et al. | Dec 2011 | A1 |
20120003862 | Newman et al. | Jan 2012 | A1 |
20120004899 | Arshi | Jan 2012 | A1 |
20120022391 | Leuthardt | Jan 2012 | A1 |
20120036004 | Pradeep et al. | Feb 2012 | A1 |
20120036005 | Pradeep et al. | Feb 2012 | A1 |
20120054018 | Pradeep et al. | Mar 2012 | A1 |
20120072289 | Pradeep et al. | Mar 2012 | A1 |
20120096363 | Barnes et al. | Apr 2012 | A1 |
20120108995 | Pradeep et al. | May 2012 | A1 |
20120114305 | Holden | May 2012 | A1 |
20120130800 | Pradeep et al. | May 2012 | A1 |
20120143020 | Bordoley et al. | Jun 2012 | A1 |
20120173701 | Tenbrock | Jul 2012 | A1 |
20120190959 | Hayakawa et al. | Jul 2012 | A1 |
20120197144 | Christ et al. | Aug 2012 | A1 |
20120203363 | McKenna et al. | Aug 2012 | A1 |
20120203559 | McKenna et al. | Aug 2012 | A1 |
20120239407 | Lynch et al. | Sep 2012 | A1 |
20120245978 | Jain et al. | Sep 2012 | A1 |
20120249797 | Haddick et al. | Oct 2012 | A1 |
20120253159 | Medina et al. | Oct 2012 | A1 |
20130024272 | Pradeep et al. | Jan 2013 | A1 |
20130060125 | Zeman et al. | Mar 2013 | A1 |
20130166373 | Pradeep et al. | Jun 2013 | A1 |
20130185140 | Pradeep et al. | Jul 2013 | A1 |
20130185141 | Pradeep et al. | Jul 2013 | A1 |
20130185142 | Pradeep et al. | Jul 2013 | A1 |
20130185144 | Pradeep et al. | Jul 2013 | A1 |
20130185145 | Pradeep et al. | Jul 2013 | A1 |
20130311132 | Tobita | Nov 2013 | A1 |
20130332259 | Pradeep et al. | Dec 2013 | A1 |
20140213881 | Banet et al. | Jul 2014 | A1 |
20150093922 | Bosscher et al. | Apr 2015 | A1 |
20160007918 | Badower et al. | Jan 2016 | A1 |
Number | Date | Country |
---|---|---|
1538823 | Oct 2004 | CN |
102133097 | Jul 2011 | CN |
102791194 | Nov 2012 | CN |
102010005551 | Jul 2011 | DE |
1052582 | Nov 2000 | EP |
1389012 | Feb 2004 | EP |
1607842 | Dec 2005 | EP |
1815788 | Aug 2007 | EP |
2449961 | Sep 2012 | EP |
2627975 | Sep 1989 | FR |
1374658 | Nov 1974 | GB |
2221759 | Feb 1990 | GB |
02-243131 | Sep 1990 | JP |
05-293172 | Nov 1993 | JP |
07-329657 | Dec 1995 | JP |
H1156414 | Mar 1999 | JP |
2001212093 | Aug 2001 | JP |
2002-000577 | Jan 2002 | JP |
2002056500 | Feb 2002 | JP |
2002344904 | Nov 2002 | JP |
2003-016095 | Jan 2003 | JP |
2003-111106 | Apr 2003 | JP |
2003-178078 | Jun 2003 | JP |
2003522580 | Jul 2003 | JP |
2004041294 | Feb 2004 | JP |
2004-527843 | Sep 2004 | JP |
2005084770 | Mar 2005 | JP |
2005261076 | Sep 2005 | JP |
2005-160805 | Dec 2005 | JP |
2006516916 | Jul 2006 | JP |
2006-323547 | Nov 2006 | JP |
2006305334 | Nov 2006 | JP |
2011-104338 | Jun 2011 | JP |
2011104338 | Jun 2011 | JP |
10-2000-0072489 | Dec 2000 | KR |
10-2001-0104579 | Nov 2001 | KR |
20120129870 | Nov 2012 | KR |
9412099 | Jun 1994 | WO |
95018565 | Jul 1995 | WO |
97017774 | May 1997 | WO |
97040745 | Nov 1997 | WO |
97041673 | Nov 1997 | WO |
0017824 | Mar 2000 | WO |
0197070 | Dec 2001 | WO |
02084624 | Oct 2002 | WO |
02100241 | Dec 2002 | WO |
02100267 | Dec 2002 | WO |
02102238 | Dec 2002 | WO |
2004034881 | Apr 2004 | WO |
2004049225 | Jun 2004 | WO |
2004066766 | Aug 2004 | WO |
2004100765 | Nov 2004 | WO |
2006005767 | Jan 2006 | WO |
2007019584 | Feb 2007 | WO |
2008077178 | Jul 2008 | WO |
2008109694 | Sep 2008 | WO |
2008109699 | Sep 2008 | WO |
2008121651 | Oct 2008 | WO |
2008137579 | Nov 2008 | WO |
2008137581 | Nov 2008 | WO |
2008141340 | Nov 2008 | WO |
2008154410 | Dec 2008 | WO |
2009018374 | Feb 2009 | WO |
2009052833 | Apr 2009 | WO |
2011055291 | May 2011 | WO |
2011056679 | May 2011 | WO |
Entry |
---|
Japanese Patent office, “Notice of Reasons for Rejection,” issued in connection with Japanese Patent Application No. 2017-004227, dated Sep. 26, 2017, 10 pages. |
European Patent Office, “Extended European Search Report,” issued in connection with European Patent Application No. 18158088.7, dated Jun. 12, 2018, 8 pages. |
Brazilian Patent Office, “Preliminary Office Action”, issued in connection with Brazilian application No. 112014030221-9 dated Jul. 9, 2020, 6 pages. |
China National Intellectual Property Administration, “First Office Action”, issued in connection with application No. 201710130134.9 dated Aug. 21, 2019, 16 pages. |
Aaker et al., “Warmth in Advertising: Measurement, Impact, and Sequence Effects,” Journal of Consumer Research, vol. 12, No. 4, pp. 365-381, Mar. 1986, 18 pages. |
Adamic et al., “The political blogosphere and the 2004 U.S. election: Divided they blog,” Proceedings WWW-2005 2nd Annual Workshop on the Weblogging Ecosystem, 2005, Chiba, Japan, 16 pages. |
Adar et al., “Implicit structure and the dynamics of blogspace,” Proceedings WWW-2004 Workshop on the Weblogging Ecosystem, 2004, New York, NY, 8 pages. |
Akam, et al., “Oscillations and Filtering Networks Support Flexible Routing of Information,” Neuron, vol. 67, pp. 308-320, Elsevier, Jul. 29, 2010, 13 pages. |
Aliod et al., “A Real World Implementation of Answer Extraction,” Department of Computer Science, University of Zurich, Winterthurerstr. 190, CH-8057 Zurich, Switzerland, 1998, 6 pages. |
Allen et al., “A Method of Removing Imaging Artifact from Continuous EEG Recorded during Functional MRI,” Neuroimage, vol. 12, No. 2, Aug. 2000, 12 pages. |
Ambler et al., “Salience and Choice: Neural Correlates of Shopping Decisions,” Psychology & Marketing, vol. 21, No. 4, p. 247-261, Wiley Periodicals, Inc., doi: 10.1002/mar20004, Apr. 2004, 16 pages. |
Ambler et al., “Ads on the Brain; A Neuro-Imaging Comparison of Cognitive and Affective Advertising Stimuli,” London Business School, Centre for Marketing Working Paper, No. 00-902, Mar. 2000, 23 pages. |
Badre, et al. “Frontal Cortex and the Discovery of Abstract Action Rules,” Neuron, vol. 66, pp. 315-326, Elsevier, Apr. 29, 2010, 12 pages. |
Bagozzi et al., “The Role of Emotions in Marketing,” Journal of the Academy of Marketing Science, vol. 27, No. 2, pp. 184-206, Academy of Marketing Science, 1999, 23 pages. |
Barceló, et al., “Prefrontal modulation of visual processing in humans,” Nature Neuroscience, vol. 3, No. 4, Nature America, http//neurosci.nature.com, Apr. 2000, 5 pages. |
Barreto et al., “Physiologic Instrumentation for Real-time Monitoring of Affective State of Computer Users,” WSEAS International Conference on Instrumentation, Measurement, Control, Circuits and Systems (IMCCAS), 2004, 6 pages. |
Beaver et al., “Individual Differences in Reward Drive Predict Neural Responses to Images of Food”, Journal of Neuroscience, May 10, 2006, 5160-5166, 7 pages. |
Belch et al., “Psychophysiological and cognitive Responses to Sex in Advertising,” Advances in Consumer Research, vol. 9, pp. 424-427, 1982, 6 pages. |
Bimler et al., “Categorical perception of facial expressions of emotion: Evidence from multidimensional scaling,” Cognition and Emotion, vol. 15(5), pp. 633-658 Sep. 2001, 26 pages. |
Bishop, Mike, “ARROW Question/Answering Systems,” Language Computer Corporation, 1999, 3 pages. |
Bizrate, archived version of www.bizrate.com, Jan. 1999, 22 pages. |
Blakeslee, “If You Have a ‘Buy Button’ in Your Brain, What Pushes It?” The New York Times, www.nytimes.com, Oct. 19, 2004, 3 pages. |
Blum, “Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain,” in Machine Learning, vol. 26, Kluwer Academic Publishers, Boston, USA, 1997, 19 pages. |
Bournellis, Cynthia, “Tracking the hits on Web Sites,” Communications International: vol. 22, Issue 9, London, Sep. 1995, 3 pages. |
Braeutigam, “Neuroeconomics—From neural systems to economic behavior,” Brain Research Bulletin, vol. 67, pp. 355-360, Elsevier, 2005, 6 pages. |
Buschman, et al., “Top-Down versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices,” Science, vol. 315, www.sciencemag.org/cgi/content/ful1/315/5820/1860, American Association for the Advancement of Science, retrieved on Mar. 29, 2007, 4 pages. |
Buschman, et al., “Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations,” Neuron, vol. 63, pp. 386-396, Elsevier, Aug. 13, 2009, 11 pages. |
Canolty, et al., “High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex,” Science, vol. 313, www.sciencemag.org, Sep. 15, 2006, 3 pages. |
Chaum et al., “A Secure and Privacy-Protecting Protocol for Transmitting Personal Information Between Organizations,” A.M. Odlyzko (Ed.): Advances in Cryptology, CRYTPO '86, LNCS 263, 1988, 51 pages. |
Chaum, David L., “Untraceable Electronic Mail, Return Addresses and Digital Pseudonyms,” Communication of the ACM, vol. 24, No. 2, 1981, 5 pages. |
Carter, R., “Mapping the Mind,” 1998, University of California Press, Berkeley, 3 pages. |
Cheng, et al. “Gender Differences in the Mu Rhythm of the Human Mirror-Neuron System,” PLos ONE, vol. 3, Issue 5, www.plosone.org, May 2008, 7 pages. |
Clarke, Adam R. et al., “EEG Analysis of Children with Attention-Deficit/Hyperactivity Disorder and Comorbid Reading Disabilities,” Journal of Learning Disabilities, vol. 35, No. 3, May-Jun. 2002, 10 pages. |
Clemons, “Resonance Marketing in the Age of the Truly Informed Consumer: Creating Profits through Differentiation and Delight,” Wharton Information Strategy & Economics Blog 2, available at http://opim.wharton.upenn.edu/˜clemons/blogs/resonanceblog.pdf, Mar. 28, 2007, 8 pages. |
Clifford, “Billboards That Look Back,” The New York Times, NYTimes.com, available at http://www.nytimes.com/2008/05/31/business/media/31billboard.html, May 31, 2008, 4 pages. |
Coan et al., “Voluntary Facial Expression and Hemispheric Asymmetry Over the Frontal Cortex,” Psycophysiology (Nov. 2001), 912-924, 14 pages. |
Cohen, William W., “Data Integration Using Similarity Joins and a Word-Based Information Representation Language,” ACM Transactions on Information Systems, vol. 18, No. 3, Jul. 2000, 34 pp. |
Cohn et al., “Active Learning with Statistical Models,” Journal of Artificial Intelligence Research 4, A1 Access Foundation and Morgan Kaufmann Publishers, USA, 1996, 17 pages. |
Crawford et al., “Self-generated happy and sad emotions in low and highly hypnotizable persons during waking and hypnosis: laterality and regional EEG activity differences,” International Journal of Psychophysiology, vol. 24, pp. 239-266, Dec. 1996, 28 pages. |
Dagan et al., “Mistake-Driven Learning in Text Categorization,” in EMNLP '97, 2nd Conference on Empirical Methods in Natural Language Processing, 1997, 9 pages. |
Davidson, et al., “The functional neuroanatomy of emotion and affective style,” TRENDS in Cognitive Sciences, vol. 3, No. 1, Jan. 1999, 11 pages. |
De Gelder et al., “Categorical Perception of Facial Expressions: Categories and their Internal Structure,” Cognition and Emotion, vol. 11(1), pp. 1-23 1997, 23 pages. |
D'Esposito, “From cognitive to neural models of working memory,” Phil. Trans. R. Soc. B, doi: 10.1098/rstb.2007.2086, Mar. 30, 2007, 12 pages. |
Delahaye group, “Delahaye Group to Offer Nets Bench: High Level Web-Site Qualitative Analysis and Reporting; NetBench Builds on Systems provided by I/PRO and Internet Media Services,” 1995 Business Wire, Inc., May 31, 1995, 3 pages. |
Desmet, “Measuring Emotions: Development and Application of an Instrument to Measure Emotional Responses to Products,” to be published in Funology: From Usability to Enjoyment, pp. 111-123, Kluwer Academic Publishers, (Blythe et al., eds., 2004), 13 pages. |
Dialogic, www.dialogic.com as archived on May 12, 2000, 34 pages. |
Dien, et al., “Application of Repeated Measures ANOVA to High-Density ERP Datasets: A Review and Tutorial,” in Event-Related Potentials: A Methods Handbook pp. 57-82, (Todd C. Handy, ed., 2005), 14 pages. |
Dillon et al., “Marketing research in a Marketing Environment,” Times Mirror/Mosby College, USA, 1987, 5 pages. |
Duchowski, “A Breadth-First Survey of Eye-tracking Applications,” Behavior Research Methods, Instruments, and Computers (Nov. 2002), 455-470, 16 pages. |
Edgar, et al., “Digital Filters in ERP Research,” in Event-Related Potentials: a Methods Handbook pp. 85-113, (Todd C. Handy, ed., 2005), 15 pages. |
EEG Protocols, “Protocols for EEG Recording,” retrieved from the Internet on Aug. 23, 2011, http://www.q-metrx.com/EEGrecordingProtocols.pdf, Nov. 13, 2007, 3 pages. |
Egner et al., “EEG Signature and Phenomenology of Alpha/theta Neurofeedback Training Versus Mock Feedback,” Applied Psychophysiology and Biofeedback, vol. 27, No. 4, Dec. 2002, 10 pages. |
El-Bab et al., “Congnative event related potentials during a learning task,” Doctoral Dissertation, Faculty of Medicine, University of Southamption, 2001, 25 pages. |
Engel et al., “Dynamic Predictions: Oscillations and Synchrony in Top-down Processing,” Nature Reviews: Neuroscience, vol. 2, pp. 704-716, Macmillian Magazines Ltd., Oct. 2001, 13 pages. |
Ewatch, eWatch's archived web site retrieved from [URL: http://web.archive.org/web/19980522190526/wwww.ewatch.com] on Sep. 8, 2004, archived May 22, 1998, 50 pages. |
Farber, Dave, “IP: eWatch and Cybersleuth,” retrieved from [URL: http://www.interesting-people.org/archives/interesting-people/200006/msg00090.html] Jun. 29, 2000, 4 pages. |
Filler, “MR Neurography and Diffusion Tensor Imaging: Origins, History & Clinical Impact of the first 50,000 Cases With an Assortment of Efficacy and Utility in a Prospective 5,000 Patent Study Group,” Institute for Nerve Medicine, Nov. 7, 2008, 56 pages. |
Flinker, A. et al, “Sub-centimeter language organization in the human temporal lobe,” Brain and Language, Elsevier Inc., (2010), doi.org/10.1016/j.bandl.2010.09.009, 7 pages. |
Fogelson, et al., “Prefrontal cortex is critical for contextual processing: evidence from brain lesions,” Brain: A Journal of Neurology, vol. 132, pp. 3002-3010, doi:10.1093/brain/awp230, Aug. 27, 2009, 9 pages. |
Freund et al., “Selective Sampling Using the Query by Committee Algorithm,” Machine Learning 28 Kluwer Academic Publishers, The Netherlands, 1997, 36 pages. |
Friedman, et al., “Event-Related Potential (ERP) Studies of Memory Encoding and Retrieval: A Selective Review,” Microscopy Research and Technique 51:6-28, Wiley-Less, Inc., 2000, 23 pages. |
Fries, “A mechanism for cognitive dynamics neuronal communication through neuronal coherence,” Trends in Cognitive Sciences, vol. 9, No. 10, pp. 474-480, Elsevier B.V. www.sciencedirect.com, Oct. 2005, 7 pages. |
Fuster, “Cortex and Memory: Emergence of a New Paradigm,” Journal of Cognitive Neuroscience, vol. 21, No. 11, pp. 2047-2072, Massachusetts Institute of Technology, Nov. 2009, 26 pages. |
Gaillard, “Problems and Paradigms in ERP Research,” Biological Psychology, Elsevier Science Publisher B.V., 1988, 10 pages. |
Gargiulo et al., “A Mobile EEG System With Dry Electrodes,” (Nov. 2008), 4 pages. |
Gazzaley et al., “Top-down Enhancement and Suppression of Magnitude and Speed of Neural Activity,” Journal of Cognitive Neuroscience, vol. 17, No. 3, pp. 507-517, Massachusetts Institute of Technology, 2005, 11 pages. |
Gevins et al., “High-resolution EEG Mapping of Cortical Cctivation Related to a Working Memory: Effects of Task Difficulty, Type of Processing, and Practice,” Cereb Cprtex. 7, 1997, 12 pages. |
Glance et al., “Analyzing online disussion for marketing intelligence,” Proceedings WWW-2005 2nd Annual Workshop on the Weblogging Ecosystem, Chiba, Japan, May 10-14, 2005, 2 pages. |
Glance et al., “Deriving marketing intelligence from online discussion,” 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, IL, Aug. 21-24, 2005, 10 pages. |
Grefensette et al., “Validating the Coverage of Lexical Resources for Affect Analysis and Automatically Classifying New Words along Semantic Axes,” Chapter X, Mar. 3, 2004, 16 pages. |
Griss et al., “Characterization of micromachined spiked biopotential electrodes”, Biomedical Engineering, IEEE Transactions Jun. 2002, 8 pages. |
Haq, “This Is Your Brain on Advertising,” BusinessWeek, Market Research, Oct. 8, 2007, 4 pages. |
Harabagiu et al., “An Intelligent System for Question Answering,” University of Southern California; Modlovan, Dan, Southern Methodist University, 1996, 5 pages. |
Harabagiu et al., “Experiments with Open-Domain Textual Question Answering,” Department of Computer Science and Engineering at Southern Methodist Universtity, 2000, 7 pages. |
Harabagiu et al., “Mining Textual Answers with Knowledge-Based Indicators,” Department of Computer Science and Engineering at Southern Methodist University, 2000, 5 pages. |
Harland, C.J. et al., “Remote detection of human electroencephalograms using ultrahigh input impedance electrical potential sensors,” Applied Physics Letters., vol. 81, No. 17, Oct. 21, 2002, 3 pages. |
Harmony et al., “Specific EEG frequencies signal general common congnative processes as well as specific tasks processes in man,” International Journal of Psycophysiology, 53, 2004, 10 pages. |
Hartikainen et al., Manuscript Draft of “Emotionally arousing stimuli compete with attention to left hemispace,” NeuroReport, Sep. 8, 2007, 26 pages. |
Hazlett, et al., “Emotional Response to Television Commercials: Facial EMG vs. Self-Report,” Journal of Advertising Research, Apr. 1999, 17 pages. |
Heo et al., “Wait! Why is it Not Moving? Attractive and Distractive Ocular Responses to Web Ads,” Paper presented to AEJMC, (Aug. 2001) Washington, DC, available at http://www.psu.edu/dept/medialab/researchpage/newabstracts/wait.html, 3 pages. |
Herrmann, et al., “Mechanisms of human attention: event-related potentials and oscillations,” Neuroscience and Biobehavioral Reviews, pp. 465-476, Elsevier Science Ltd., www.elsvevier.com/locate/neubiorev, 2001, 12 pages. |
Hopf, et al., “Neural Sources of Focused Attention in Visual Search,” Cerebral Cortex, 10:1233-1241, Oxford University Press, Dec. 2000, 9 pages. |
Housley et al., “Internet X.509 Public Key Infrastructure Certificate and CRL Profile,” Network Working Group Request for Comments: 2459, Jan. 1999, 121 pages. |
Hughes, et al., “Conventional and Quantatative Electroencephalography in Psychiatry,” Journal of Neuropsychiatry and Clinical Neurosciences, vol. 11(2), 1999, 19 pages. |
Joachims, Thorsten, “Text Categorization with Support Vector Machines: Learning with Many Relevant Features,” in Machine Learning: ECML-98, Tenth European Conference on Machine Learning, 1998, 7 pages. |
Jung et al., “Analysis and Visualization of Single-Trial Event-Related Potentials,” Human Brain Mapping vol. 14, 166-185 2001, 20 pages. |
Kahn et al., “Categorizing Web Documents using Competitive Learning: An ingredient of a Personal Adaptive Agent,” IEEE 1997, 4 pages. |
Katz, Boris, “From Sentence Processing to Information Access on the World Wide Web,” MIT Artificial Intelligence Laboratory, Feb. 27, 1997, 20 pages. |
Kay et al., “Identifying natural images from human brain activity,” Nature, vol. 452, pp. 352-356, Nature Publishing Group, Mar. 20, 2008, 5 pages. |
Keren, et al., “Saccadic spike potentials in gamma-band EEG: Characterization, detection and suppression,” NeuroImage, http://dx.doi:10.1016/j.neuroimage.2009.10.057, Oct. 2009, 16 pages. |
Kishiyama, et al., “Novelty Enhancements in Memory Are Dependent on Lateral Prefrontal Cortex,” The Journal of Neuroscience, pp. 8114-8118, Society for Neuroscience Jun. 24, 2009, 5 pages. |
Kishiyama, et al., “Socioeconomic Disparities Affect Prefrontal Function in Children,” Journal of Cognitive Neuroscience pp. 1106-1115, Massachusetts Institute of Technology, 2008, 10 pages. |
Kleppner, “Advertising Procedure,” 6th edition, 1977, Prentice-Hall, Inc., Englewood Cliffs, NJ, p. 492, 3 pages. |
Klimesch, “EEG alpha and theta oscillations reflect cognitive and memory performance a review and analysis,” Brain Research Reviews, vol. 29, 169-195, 1999, 27 pages. |
Klimesch, et al. “Episodic and semantic memory: an analysis in the EEG theta and alpha band,” Electroencephalography Clinical Neurophysiology, 1994, 14 pages. |
Kotler, “Marketing Management,” Prentice-Hall International Inc., Upper Saddle River, NJ, 1997, 10 pages. |
Knight, “Contribution of human hippocampal region to novelty detection,” Nature, vol. 383, www.nature.com, Sep. 19, 1996, 4 pages. |
Knight, “Consciousness Unchained: Ethical Issues and the Vegetative and minimally Conscious State,” The American Journal of Bioethics, 8:9, 1-2, http://dx.doi.org/10.1080/15265160802414524, Sep. 1, 2008), 3 pages. |
Knight, et al., “Prefrontal cortex regulates inhibition and excitation in distributed neural networks,” Acta Psychologica vol. 101, pp. 159-178, Elsevier 1999, 20 pages. |
Knight, “Decreased Response to Novel Stimuli after Prefrontal Lesions in Man,” Electroencephalography and Clinical Neurophysiology, vol. 59, pp. 9-20, Elsevier Scientific Publishers Ireland, Ltd., 1984, 12 pages. |
Krakow et al., “Methodology: EEG-correlated fMRI,” Functional Imaging in the Epilepsies, Advances in Neurology, vol. 83, Lippincott Williams & Wilkins, 2000, 17 pages. |
Krugman, “Brain Wave Measures of Media Involvement,” Journal of Advertising Research vol. 11, Feb. 3-9, 1971, 7 pages. |
Lachaux et al., “Measuring Phase Synchrony in Brain Signals,” Human Brain Mapping 8, 1999, 194-208, 15 pages. |
Lee et al., “What is ‘neuromarketing’? a discussion and agenda for future research,” International Journal of Psychophysiology, vol. 63, pp. 199-204, Elsevier 2006, 6 pages. |
Lekakos, “Personalized Advertising Services Through Hybrid Recommendation Methods: The Case of Digital Interactive Television,” Department of Informatics, Cyprus University, 2004, 11 pages. |
Lenz et al., “Question answering with Textual CBR,” Department of Computer Science, Humboldt University Berlin, D-10099 Berlin, 1998, 12 pages. |
Lewis et al., “Market Researchers make Increasing use of Brain Imaging,” ACNR, vol. 5, No. 3, pp. 36-37, Jul./Aug. 2005, 2 pages. |
Littlestone, Nick, “Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm,” in Machine Learning, vol. 2, Kluwer Academic Publishers, Boston, MA, 1988, 34 pages. |
Luck, et al., “The speed of visual attention in schizophrenia: Electrophysiological and behavioral evidence,” Schizophrenia Research, pp. 174-195, Elsevier B.V. www.sciencedirect.com, 2006, 22 pages. |
Lui et al., “Marketing Strategies in Virtual Worlds,” The Data Base for Advances in Information Systems, vol. 38, No. 4, pp. 77-80, Nov. 2007, 4 pages. |
Makeig, et al., “Mining event-related brain dynamics,” TRENDS in Cognitive Sciences, vol. 8, No. 5, May 2004, www.sciencedirect.com, 7 pages. |
Makeig, et al., “Dynamic Brain Sources of Visual Evoked Responses,” Science, vol. 295, www.sciencemag.org, Jan. 25, 2002, 5 pages. |
Marlow, “Audience, structure and authority in the weblog community,” International Communication Association Conference, MIT Media Laboratory, New Orleans, LA 2004, 9 pages. |
The Mathworks, Inc., “MATLAB Data Analysis: Version 7,” p. 4-19 2005, 3 pages. |
McCallum et al., “Text Classification by Bootstrapping with the Keywords, EM and Shrinkage,” Just Research and Carnegie Mellon University, Pittsburgh, PA, circa 1999, 7 pages. |
McLachlan et al., “The EM Algorithm and Extensions,” John Wiley & Sons, Inc., New York, NY, 1997, 302 pages. |
Meriam-Webster Online Dictionary definition for “tangible,” retrieved from [URL http://www.meriam-webster.com/dictionary/tangible] on Jan. 1, 2012, 1 page. |
Meriam Webster Online Dictionary, Definition of Virtual Reality, retrieved from [URL: http://www.meriam-webster.com/dictionary/virtual%20reality] on Feb. 25, 2012, 2 pages. |
Miltner, et al., “Coherence of gamma-band EEG activity as a basis for associative learning,” Nature, vol. 397, www.nature.com, Feb. 4, 1999, 3 pages. |
Mizuhara et al., “A long range cortical network emerging with theta oscillation in a mental task,” Neuroreport 15 (8), 2004, 11 pages. |
Moldovan et al., “LASSO: A Tool for Surfing the Answer Net,” Department of Computer Science and Engineering at Southern Methodist University, 1999, 9 pages. |
Mosby's Dictionary of Medicine, Nursing, & Health Professions, 2009, Mosby, Inc., Definition of “Alpha Wave,” 1 page. |
Mosby's Dictionary of Medicine, Nursing, & Health Professions, 2009, Mosby, Inc., Definition of “Beta Wave,” 1 page. |
Nakashima et al., “Information Filtering for the Newspaper,” IEEE 1997, 4 pages. |
Nanno et al., “Automatic collection and monitoring of Japanese Weblogs,” Proceedings WWW-2004 Workshop on the weblogging Ecosystem, 2004, New York, NY, 7 pages. |
Netcurrent, NetCurrenfs web site, http://web.archive.org/web/20000622024845/www.netcurrents.com, retrieved on Jan. 17, 2005, archived on Jun. 22, 2000 and Sep. 18, 2000, 17 pages. |
“Neurofocus—Neuroscientific Analysis for Audience Engagement,” accessed on Jan. 8, 2010 at http://web.archive.org/web/20080621114525/www.neurofocus.com /BrandImage.htm, 2008, 2 pages. |
Newell et al., “Categorical perception of familiar objects,” Cognition, vol. 85, Issue 2, pp. 113-143 Sep. 2002, 31 pages. |
Nielsen, “Neuroinformatics in Functional Neuroimaging,” Informatics and Mathematical Modeling, Technical University of Denmark, Aug. 30, 2002, 241 pages. |
Oberman et al., “EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots,” Neurocomputing 70, 2007, accepted Feb. 1, 2006, 2194-2203, 10 pages. |
Osborne, “Embedded Watermarking for Image Verification in Telemedicine,” Thesis submitted for the degree of Doctor of Philosophy, Electrical and Electronic Engineering, University of Adelaide, 2005, 219 pages. |
Padgett et al., “Categorical Perception in Facial Emotion Classification,” In Proceedings of the 18th Annual Conference of the Cognitive Science Society, pp. 249-253, 1996, 5 pages. |
Page et al., “Cognitive Neuroscience, Marketing and Research,” Congress 2006—Foresight—The Predictive Power of Research Conference Papers, ESOMAR Publications, Sep. 17, 2006, 25 pages. |
Paller, et al., “Validating neural correlates of familiarity,” TRENDS in Cognitive Sciences, vol. 11, No. 6, www.sciencedirect.com, May 2, 2007, 8 pages. |
Palva et al., “Phase Synchrony Among Neuronal Oscillations in the Human Cortex,” Journal of Neuroscience 25, Apr. 13, 2005, 3962-3972, 11 pages. |
Pang et al., “Thumbs up? Sentiment Classification using Machine Learning Techniques,” in Proceedings of EMNLP 2002, 8 pages. |
Picton, et al., “Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria,” Psychophysiology, pp. 127-152, Society for Psychophysiological Research, 2000, 26 pages. |
Reguly, “Caveat Emptor Rules on the Internet,” The Globe and Mail (Canada): Report on Business Column, Apr. 10, 1999, 2 pages. |
Reinartz, “Customer Lifetime Value Analysis: An Integrated Empirical Framework for Measurement and Explanation,” dissertation submitted for the degree of Doctor of Philosophy, University of Houston, Faculty of College of Business Administration, Apr. 1999, 68 pages. |
Rizzolatti et al., “The Mirror-Neuron System,” Annu. Rev. Neurosci., vol. 27, pp. 169-192, Mar. 5, 2004, 30 pages. |
Rothschild et al., “Predicting Memory for Components of TV Commercials from EEG,” Journal of Consumer Research (Mar. 1990), p. 472-478, 8 pages. |
Ruchkin et al., “Modality-specific processing streams in verbal working memory: evidence from spatio-temporal patterns of brain activity,” Cognitive Brain Research, vol. 6, pp. 95-113, Elsevier, 1997, 19 pages. |
Rugg, et al., “Event-related potentials and recognition memory,” TRENDS in Cognitive Sciences, vol. 11, No. 6, www.sciencedirect.com, May 3, 2007, 7 pages. |
Rugg, et al., “The ERP and cognitive psychology: conceptual issues,” Sep. 1996, 7 pages. |
“User monitoring,” Sapien Systems, available at http://web.archive.org/web/20030818043339/http:/www.sapiensystems.com/eyetracking.html, Aug. 18, 2003, 1 page. |
Sammler, “Music and emotion: Electrophysiological correlates of the processing of pleasant and unpleasant music,” Psychophysiology, vol. 44, Blackwell Publiching Inc., 2007, 12 pages. |
Schmidt et al., “Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions,” Cognition and Emotion, vol. 15 (4), Psychology Press Ltd, 2001, 14 pages. |
Selden, “Machines that Read Minds,” Science Digest, Oct. 1981, 9 pages. |
Shandlen et al., “A Computational Analysis of the Relationship between Neuronal and Behavioral Responses to Visual Motion”, The Journal of Neuroscience, (Feb. 15, 1996) 1486-1510, 25 pages. |
Simon-Thomas et al., “Behavioral and Electrophysiological Evidence of a Right Hemisphere Bias for the Influence of Negative Emotion on Higher Cognition,” Journal of Cognitive Neuroscience 17:3, pp. 518-529, Massachusetts Institute of Technology 2005, 12 pages. |
Söderland et al., “Customer Satisfaction and Links to Customer Profitability: An Empirical Examination of the Association Between Attitudes and Behavior,” SSE/EFI Working Paper Series in Business Administration, Jan. 1999, 22 pages. |
Spencer, “Averaging, Detection, and Classification of Single-Trial ERPs,” in Event-Related Potentials: A Methods Handbook, pp. 209-227, (Todd C. Handy, ed., 2005), 10 pages. |
Arousal in Sport, in Encyclopedia of Applied Psychology, vol. 1, p. 159, retrieved from Google Books, (Spielberger, ed., Elsevier Academic Press, 2004), 1 page. |
Srinivasan, “High-Resolution EEG: Theory and Practice,” in Event-Related Potentials: A Methods Handbook, pp. 167-188, (Todd C. Handy, ed., 2005), 12 pages. |
Sullivan et al., “A Brain-Machine Interface using Dry-Contact, Low-Noise EEG Sensors,” In Proceedings of the 2008 IEEE International Symposium on Circuits and Systems, May 18, 2008, 4 pages. |
Sutherland, “Neuromarketing: What's it all about?” Retrieved from Max Sutherland's Weblog on Aug. 23, 2011, http://www.sutherlandsurvey.com/Column_pages/Neuromarketing_whats_it_all_about.htm, Mar. 2007, 5 pages. |
Swick et al., “Contributions of Prefrontal Cortex to Recognition Memory: Electrophysiological and Behavioral Evidence,” Neuropsychology, vol. 13, No. 2, pp. 155-170, American Psychological Association, Inc. 1999, 16 pages. |
Taheri et al., “A dry electrode for EEG recording,” Electroencephalography and clinical Neurophysiology, 90 (1994), pp. 376-383, Elsevier Science Ireland Ltd., 1994, 8 pages. |
Talsma et al., “Methods for the Estimation and Removal of Artifacts and Overlap in ERP Waveforms,” in Event-Related Potentials: A Methods Handbook, pp. 115-148, (Todd C. Handy, ed., 2005), 22 pages. |
Tapert, Susan F., et al., “Neural Response to Alcohol Stimuli in Adolescents With Alcohol Use Disorder”, Arch Gen Psychiatry, vol. 60, Jul. 2003, 727-735, 9 pages. |
“Technology Platform: SmartShirt + Eye-Tracking,” Innerscope Research, Mar. 2007, 1 page. |
Thomas, “International Marketing,” International Textbook Company, Scranton, PA 1971, 3 pages. |
Trigaux, Robert, “Cyberwar Erupts Over Free Speech Across Florida, Nation,” Knight-Ridder Tribune Business News, May 29, 2000, 4 pages. |
Tull et al., “Marketing Research Measurement and Method,” MacMillan Publishing Company, New York, NY, 1984, 9 pages. |
Vogel et al., “Electrophysiological Evidence for a Postperceptual Locus of Suppression During the Attentional Blink,” Journal of Experimental Psychology: Human Perception and Performance, vol. 24, No. 6, pp. 1656-1674, 1998, 19 pages. |
Voorhees, “The TREC-8 Question Answering Track Report,” National Institute of Standards and Technology, 1999, 6 pages. |
Voytek et al., “Prefrontal cortex and basal ganglia contributions to visual working memory,” PNAS Early Edition, www.prias.org/cgi/doi/10.1073/pnas.1007277107, Oct. 19, 2010, 6 pages. |
Voytek et al., “Hemicraniectomy: A New Model for Human Electrophysiology with High Spatio-temporal Resolution,” Journal of Cognitive Neuroscience, vol. 22, No. 11, pp. 2491-2502, Massachusetts Institute of Technology, Nov. 2009, 12 pages. |
Wang, “Neurophysiological and Computational Principles of Cortical Rhythms in Cognition,” Physiol Rev 90:pp. 1195-1268, American Physiological Society, www.prv.org, (2010), 75 pages. |
Wiebe et al., “Identifying Collocations for Recognizing Opinions,” in proceedings of ACL/EACL '01 Workshop on Collocation, Toulouse, France, Apr. 9, 2001, 9 pages. |
Willis et al., “Discover Your Child's Learning Style: Children Learn in Unique Ways—Here's the Key to Every Child's Learning Success,” Prima Publishing, 1999, 22 pages. |
Wikipedia, “Functional magnetic resonance imaging,” retrieved on Aug. 23, 2011, [http://en.wikipedia.org/w/index.php?title=Functional_magnetic_resonance_imaging&oldid=319601772], dated Oct. 13, 2009, 8 pages. |
William, “Brain Signals to Control Movement of Computer Cursor,” Blog article: Brain Signals to Control Movement of Computer Cursor, Artificial Intelligence, retrieved on Aug. 17, 2011, [http://whatisartificialintelligence.com/899/brain-signals-to-control-movement-of-computer-cursor/], dated Feb. 17, 2010, 3 pages. |
Wise, “The High Performance Mind, Mastering Brainwaves for Insight, Healing and Creativity,” G.P. Putnam's Son, New York, 1996, pp. 13-15; 20-22; 143-156, 11 pages. |
Wise, “The High Performance Mind, Mastering Brainwaves for Insight, Healing and Creativity,” G.P. Putnam's Son, New York, 1996, pp. 156-158; 165-170; 186-187, 15 pages. |
Woldorff, “Distortion of ERP averages due to overlap from temporally adjacent ERPs: Analysis and correction,” Psychophysiology, Society for Psychophysiological Research, Cambridge University Press, 1993, 22 pages. |
Woodman et al., “Serial Deployment of Attention During Visual Search,” Journal of Experimental Psychology: Human Perception and Performance, vol. 29, No. 1, pp. 121-138, American Physiological Association(2003, 18 pages. |
Needel, Jerry, “Word of Mouth Research Case Study, The Trans Fat Issue, Analysis of online consumer conversation to understand how the Oreo lawsuit impacted word-of-mouth on trans fats,” Aug. 16, 2004, 35 pages. |
Yamaguchi et al., “Rapid Prefrontal-Hippocampal Habituation to Novel Events,” The Journal of Neuroscience, pp. 5356-5363, Society for Neuroscience, (Apr. 29, 2004), 8 pages. |
Yang, “An Evaluation of Statistical Approaches to Text Categorization,” Information Retrieval 1 (1/2) Apr. 10, 1999, 12 pages. |
Yap et al., “TIMER: Tensor Image Morphing for Elastic Registration,” NeuroImage, vol. 47, May 3, 2009, 15 pages. |
Yuval-Greenberg et al., “Transient Induced Gamma-Bands Response in EEG as a Manifestation of Miniature Saccades,” Neuron, vol. 58, pp. 429-441, Elsevier Inc. May 8, 2008, 13 pages. |
Zagat, www.zagat.com, archived on Apr. 29, 1999, 33 pages. |
Zagat, www.zagat.com, archived version of p. 34, Feb. 1999, 1 page. |
Zhang, P., “Will You Use Animation on Your Web Pages?” Doing Business on the Internet: Opportunities and Pitfalls, C. Romm and F. Sudweeks (eds.), Spring-Verlag, 1999, 17 pages. |
Ziegenfuss, “Neuromarketing: Advertising Ethical & Medical Technology,” The Brownstone Journal, vol. XII, Boston University, pp. 69-73, May 2005, 9 pages. |
Zyga, “A Baseball Cap That Reads Your Mind,” PhysOrg.com, located at www.physorg.com/news130152277.html, May 16, 2008, 11 pages. |
Merriam-Webster Online Dictionary, Definition for “Resonance,” available at http://www.merriam-webster.com/dictionary/resonance, 4 pages. |
Enghoff, “Moving ICA and Time-Frequency Analysis in Event-Related EEG Studies of Selective Attention,” Thesis, Technical University of Denmark, Dec. 1999, 54 pages. |
Robertson, “Sony imagines ‘Smart Wig’ to monitor health, give directions and read facial expressions,” [http://www.theverge.com/2013/11/21/5129554/bizarre-sony-smartwig-patent-turns-wigs-into-wearable-computing-device], dated Nov. 21, 2013, retrieved on Aug. 22, 2017, 5 pages. |
“Promotional Rubber Magnet Clip Holder, Buy Rubber Magnet Clip Holder Promotion Products at Low Price”, retrieved from from [URL: http://www.alibaba.com/rubber-magnet-clip-holder-promotion.html] on Jul. 16, 2015, 7 pages. |
State Intellectual Property Office of China, “Search Report,” issued in connection with Chinese Patent Application No. 201480001432.2, dated Nov. 25, 2015, 4 pages. |
State Intellectual Property Office of China, “Notification of the First Office Action,” issued in connection with Chinese Patent Application No. 201480001432.2, dated Dec. 4, 2015, 14 pages. |
Japanese Intellectual Property Office, Notification of Reason(s) for Rejection, issued in connection with Japanese Patent Application No. P2015-524516, dated Jan. 5, 2016, 10 pages. |
United States Patent and Trademark Office, “Non-Final Office Action,” issued in connection with U.S. Appl. No. 13/829,849, dated Jul. 24, 2015, 11 pages. |
United States Patent and Trademark Office, “Notice of Allowance and Fee(s) Due,” issued in connection with U.S. Appl. No. 13/829,849, dated Dec. 18, 2015, 9 pages. |
State Intellectual Property Office of China, “Notice of Completion of Formalities for Patent Registration,” issued in connection with Chinese Patent Application No. 201480001432.2, dated Jan. 9, 2017, 4 pages. |
European Patent Office, “Communication Pursuant to Article 94(3) EPC,” issued in connection with European Patent Application No. 13004052.0, dated Feb. 17, 2016, 6 pages. |
European Patent Office “Extended European Search Report” issued in connection with European Patent Application No. 14774102.9, dated Dec. 2, 2016, 8 pages. |
Japanese Intellectual Property Office, “Notification of Reason(s) for Rejection,” issued in connection with Japanese Patent Application No. P2015-524516, dated May 10, 2016, 6 pages. |
Mexican Institute of Industrial Property, “Office Action,” machine translation, issued in connection with Mexican patent application No. MX/a/20141014739, dated Apr. 15, 2016, 4 pages. |
State Intellectual Property Office of China, “Notification of the Second Office Action,” issued in connection with Chinese Patent Application No. 201480001432.2, dated Jul. 4, 2016, 7 pages. |
Mexican Institute of Industrial Property, “Notice of Allowance,” machine translation, issued in connection with Mexican patent application No. MX/a/20141014739, dated Jul. 22, 2016, 2 pages. |
International Searching Authority, “International Search Report and Written Opinion,” issued in connection with International patent application No. PCT/US2014/020255, dated May 23, 2014, 15 pages. |
International Searching Authority, International Preliminary Report on Patentability and Written Opinion, issued in connection with International patent application No. PCT/US2014/020255, dated Sep. 15, 2015, 11 pages. |
United States Patent and Trademark Office, “Notice of Allowance and Fee(s) Due,” issued in connection with U.S. Appl. No. 15/078,547, dated Feb. 3, 2017, 23 pages. |
United States Patent and Trademark Office, “Non-Final Office Action,” issued in connection with U.S. Appl. No. 15/078,547, dated Sep. 29, 2016, 9 pages. |
Nolan, H. et al., “FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection,” Journal of Neuroscience Methods, vol. 192, pp. 152-162, Jul. 10, 2010, 12 pages. |
Junghofer et al., “Statistical Control of Artifacts in Dense Array EEG/MEG Studies,” Psychophysiology, vol. 37, Society for Psychophysiology Research, pp. 523-532, 2000, 10 pages. |
Japanese Patent Office, “Notice of Reasons for Rejection,” issued in connection with Japanese Patent Application No. P2013-169723 dated Jul. 1, 2014, 4 pages. |
State Intellectual Property Office of China, “Notification of the First Office Action,” issued in connection with Chinese Patent Application No. 201310471815.3, dated Feb. 9, 2015, 22 pages. |
State Intellectual Property Office of China, “Notification of the Second Office Action,” issued in connection with Chinese Patent Application No. 201310471815.3, dated Aug. 17, 2013, 11 pages. |
European Patent Office, “Extended European Search Report,” issued in connection with European Patent Application No. 13004052.0, dated Dec. 19, 2013, 9 pages. |
State Intellectual Property Office of China, “Notification to Grant Patent Right,” issued in connection with Chinese Patent Application No. 201310471815.3, dated, Feb. 5, 2016, 2 pages. |
Japanese Patent Office, “Notice of Allowance,” issued in connection with Japanese Patent Application No. 2015-524516, dated Dec. 20, 2016, 4 pages. |
Intellectual Property of India, “Hearing Notice” issued in connection with Indian Application No. 10100/DELNP/2014, dated Jun. 9, 2021, 2 pages. |
Number | Date | Country | |
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20170231570 A1 | Aug 2017 | US |
Number | Date | Country | |
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Parent | 15078547 | Mar 2016 | US |
Child | 15584258 | US | |
Parent | 13829849 | Mar 2013 | US |
Child | 15078547 | US |