Methods and apparatus for improved signal robustness for a wearable neuromuscular recording device

Information

  • Patent Grant
  • 11045137
  • Patent Number
    11,045,137
  • Date Filed
    Friday, July 19, 2019
    5 years ago
  • Date Issued
    Tuesday, June 29, 2021
    3 years ago
Abstract
Arrangements for improving neuromuscular recording electrode contact with a body surface are described. According to some aspects, a sensor assembly may include a housing and one or more electrodes that are moveable relative to the housing. The electrodes may rotate and/or translate relative to the housing and/or have at least two degrees of freedom relative to the housing. The sensor may include a spring element that stores potential energy and biases the electrodes toward a starting position in which the electrodes extend at least partially out of the sensor housing. In some embodiments, application of a contact force to one or more of the electrodes of the sensor compresses the spring element, causing the spring element to store potential energy.
Description
BACKGROUND

Neuromuscular signals arising from the human central nervous system may reflect neural activation that results in the contraction of one or more muscles in the human body. Neuromuscular recording sensors, an example of which includes surface electromyography (sEMG) sensors, placed on the surface of the human body record neuromuscular activity produced when skeletal muscle cells are activated. The neuromuscular activity measured by neuromuscular recording sensors may result from neural activation, muscle excitation, muscle contraction, or a combination of the neural activation and muscle excitation and contraction. Signals recorded by neuromuscular recording sensors are routinely used to assess neuromuscular dysfunction in patients with motor control disorders and have been used in some applications as control signals for devices such as prosthetic limbs. High quality surface electromyography (sEMG) signals are typically acquired from wet electrodes in a laboratory setting using skin preparations that require application of a gel or paste at the electrode-skin interface to improve the conductivity between the skin and the electrodes.


SUMMARY

Coordinated movements of skeletal muscles in the human body that collectively result in the performance of a motor task originate with neural signals arising in the central nervous system. The neural signals travel from the central nervous system to muscles via spinal motor neurons, each of which has a cell body in the spinal cord and axon terminals on one or more muscle fibers. In response to receiving the neural signals, the muscle fibers contract resulting in muscle movement. A spinal motor neuron and the muscle fiber(s) it innervates are collectively referred to as a “motor unit.” Muscles typically include muscle fibers from hundreds of motor units and simultaneous contraction of muscle fibers in multiple motor units is usually required for muscle contraction that results in movement and forces in the musculoskeletal system.


Neuromuscular recording sensors such as EMG sensors record biological signals that result in motor activity, such as contraction of a muscle. In the case of EMG sensors arranged on the surface of the human body, the biological signals recorded relate to the generation of action potentials in motor units, though the signals are dominated by signals originating from muscle fibers. Some embodiments are directed to analyzing neuromuscular signals to identify patterns of activation associated with sub-muscular biological structures (e.g., individual motor units or groups of motor units). Control signals determined based on activation of muscle groups or sub-muscular structures may be used to control the operation of devices.


According to some aspects, a wearable bioelectrical sensing device is provided. The wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode. The wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrode being configured to rotate relative to the first housing from a starting position to a rotated position, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user. The wearable bioelectrical sensing device further comprises a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.


According to some aspects, a wearable bioelectrical sensing device is provided. The wearable bioelectrical sensing device comprises a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode. The wearable bioelectrical sensing device further comprises a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrodes being movable relative to the first housing with at least one degree of freedom such that each of the first electrode and second electrode is movable from a starting position to a different position relative to the first housing. The wearable bioelectrical sensing device further comprises a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being movable relative to the second housing with at least one degree of freedom such that each of the third electrode and the fourth electrode is movable from a starting position to a different position relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact a body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user. The wearable bioelectrical sensing device further comprises, a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing, a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing, and a spring element configured to bias the first electrode toward the starting position of the first electrode.


According to some aspects, a method of using a wearable bioelectrical sensing device is provided. The method comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position while keeping the first electrode in contact with the skin throughout the rotation.


According to some aspects, a method of using a wearable bioelectrical sensing device is provided. The method comprises wearing the wearable bioelectrical sensing device to contact a first electrode, a second electrode, a third electrode, and a fourth electrode of the device with skin, wherein the wearable bioelectrical sensing device includes a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, and a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.


According to some aspects, a wearable device is provided, including a first electrode and a first housing containing at least a portion of the first electrode. The first electrode is configured to rotate relative to the first housing from a starting position to a rotated position. The wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.


According to some aspects, a wearable device is provided, including a first electrode and a first housing containing at least a portion of the first electrode. The first electrode is movable relative to the first housing with at least two degrees of freedom such that the first electrode is movable from a starting position to a different position relative to the first housing. The wearable device also includes a band that is coupled to the first housing and is configured to be worn by a user.


According to some aspects, a method of using a wearable device is provided, including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and rotating the first electrode relative to the first housing from a starting position to a rotated position.


According to some aspects, a method of using a wearable device is provided, including: wearing a band to contact a first electrode with skin, where a first housing is coupled to the band and the first housing contains at least a portion of the first electrode, and moving the first electrode relative to the first housing with at least two degrees of freedom from a starting position to a different position.


It should be appreciated that all combinations of the foregoing concepts and additional concepts discussed in greater detail below (provided such concepts are not mutually inconsistent) are contemplated as being part of the inventive subject matter disclosed herein. In particular, all combinations of claimed subject matter appearing at the end of this disclosure are contemplated as being part of the inventive subject matter disclosed herein.





BRIEF DESCRIPTION OF DRAWINGS

Various non-limiting embodiments of the technology will be described with reference to the following figures. It should be appreciated that the figures are not necessarily drawn to scale.



FIG. 1 is a schematic diagram of components of a neuromuscular recording system in accordance with some embodiments of the technology described herein;



FIG. 2 illustrates a wristband having neuromuscular recording sensors arranged circumferentially thereon, in accordance with some embodiments of the technology described herein;



FIG. 3 illustrates a user wearing the wristband of FIG. 2 while typing on a keyboard, in accordance with some embodiments of the technology described herein;



FIG. 4 depicts an illustrative embodiment of an neuromuscular recording sensor having moveable electrodes, according to some embodiments;



FIG. 5 depicts a cross-sectional view of the sensor shown in FIG. 4 along the X-Z plane, with the moveable electrode shown in three different positions;



FIG. 6A depicts a perspective section view of the sensor shown in FIG. 4;



FIG. 6B depicts the neuromuscular recording sensor of FIG. 6A with the electrodes shown in phantom;



FIG. 7A depicts an illustrative embodiment of a neuromuscular recording sensor according to an alternative embodiment;



FIG. 7B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 7A;



FIG. 8A depicts an illustrative embodiment of an electrode for neuromuscular recording sensor according to an alternative embodiment;



FIG. 8B depicts a cross-sectional view of the neuromuscular recording sensor shown in FIG. 8A;



FIG. 9A illustrates a wearable system with sixteen neuromuscular recording sensors arranged circumferentially around an elastic band configured to be worn around a user's lower arm or wrist, in accordance with some embodiments of the technology described herein;



FIG. 9B is a cross-sectional view through one of the sixteen neuromuscular recording sensors illustrated in FIG. 9A;



FIGS. 10A and 10B schematically illustrate components of a computer-based system on which some embodiments are implemented. FIG. 10A illustrates a wearable portion of the computer-based system and FIG. 10B illustrates a dongle portion connected to a computer, wherein the dongle portion is configured to communicate with the wearable portion;



FIG. 11A shows a cross-sectional view through a neuromuscular recording sensor and its associated sensor housing, in accordance with some embodiments of the technology described herein; and



FIG. 11B shows a cross-sectional view through a plurality of neuromuscular recording sensors coupled via hinge structures, in accordance with some embodiments of the technology described herein.





DETAILED DESCRIPTION

Obtaining consistent high-quality neuromuscular (e.g., sEMG) signals using neuromuscular recording (e.g., sEMG) electrodes and conventional signal processing techniques is challenging, in part due to the difficulty of maintaining sufficient contact between a neuromuscular recording electrode and a moving body surface, e.g., skin.


Aspects herein relate to the use of sensors to detect biological signals resulting from the activation of motor unit. The sensors may include a plurality of neuromuscular recording sensors configured to detect signals arising from neuromuscular activity in skeletal muscle of a human body. The term “neuromuscular activity” as used herein refers to neural activation of spinal motor neurons that innervate a muscle, muscle activation, muscle contraction, or any combination of neural activation, muscle activation, and muscle contraction. In some embodiments, the plurality of neuromuscular recording sensors may be used to sense sub-muscular activity associated with a sub-muscular structure (e.g., a motor unit or set of motor units). In various embodiments of the systems, apparatuses, and methods described herein, neuromuscular signals may be used to derive control signals for machine control, to create an immersive rendering of a virtual hand (e.g., a rendering of the user's ‘handstate’), or other applications. In general, consistent and high-quality neuromuscular signals (e.g., high signal-to-noise ratio (SNR), consistent noise characteristics in the frequency-domain, etc.) enable the neuromuscular signals to be more effectively used for immersive, control, and other applications. The inventors have recognized that in at least some instances, motion artifacts may cause an epoch of recorded data to be unsatisfactory or unusable (e.g., on one or more channels of a neuromuscular recording sensor array) due to the magnitude of the artifact being larger than the biological signals of interest. Motion artifacts may change the baseline (e.g., direct current level) of a recording. In some instances, motion artifacts may cause an amplifier in a neuromuscular recording system to saturate, rendering the underlying biological signal completely unresolvable.


To detect signals arising from neuromuscular activity, neuromuscular recording electrodes are held in contact against a body surface (e.g., skin). When the contact between skin and an electrode changes, motion artifacts may be generated. For example, an electrode may partially or fully lift off of the skin due to movement of a wearable neuromuscular recording device and/or conformational changes in a user's body due to movement, muscle contraction, or other reason. Motion artifacts may also be generated from a change in the pressure between electrode and skin, a change of the orientation (e.g., an angle as parametrized by pitch, yaw, and roll) of an electrode relative to the skin, a translation of the electrode (e.g., a change in the position of the electrode on the skin), or a conformational change in the tissue underlying the electrode due to a muscle contraction, movement, or other reason.


Dry biosensor electrodes that interface mechanically with skin for recording neuromuscular activity are preferred relative to electrodes that require the use of adhesive and/or conductive gels (i.e., ‘wet electrodes’). Compared to wet electrodes, dry electrodes require less set up time, can be re-used numerous times without degrading signal quality, and provide a more pleasant user experience due to the absence of residue on the skin after an electrode has been removed. The inventors have appreciated that dry electrodes or those that interface with a body surface without the use of adhesive and/or conductive gels are susceptible to signal variations—in part due to several kinds of motion artifacts—that make downstream processing of biological signals challenging. For example, the neuromuscular recording sensors (i.e., electrodes) may interface with a part of the body that changes in size and cross-section during muscle contractions, or the electrodes may be integrated in a wearable form factor that shifts relative to the skin due to movements and forces of a user's musculoskeletal system. For example, as the body part changes conformation, the electrodes may lift off of the body part surface (fully or partially), become further pressed into the surface (possibly changing the impedance of the skin-electrode contact), shift laterally across the skin, or otherwise experience a change in the recording contact with the skin.


The inventors have recognized that variable pressure across electrodes can cause inaccuracies and motion artifacts. The inventors have also appreciated that an electrode lifting off the body surface may permit electrical line noise (e.g., 50 Hz or 60 Hz noise) to completely infiltrate the signal, reducing the fidelity of the neuromuscular recordings.


The inventors have also recognized that body hair can contribute to reduced quality of neuromuscular recordings because hair between the electrode surface and the skin is not conductive, which may have one or more deleterious effects on the quality of neuromuscular signals, including: increased noise (e.g., electrical line noise) and a propensity for exacerbated motion artifacts when the hairs between an electrode and the skin shift or otherwise change in position and/or composition.


The inventors have observed that epochs of poor signal quality in neuromuscular recordings often coincide with muscle contractions that cause the body surface to pull away from the electrode surface. Mechanical or other strategies to maintain a consistent electrode-skin interface for neuromuscular recording despite conformational changes or movement of a user's body would improve the quality and consistency of neuromuscular recordings.


In addition to signal variations due to hair or movement of the subject's skin and muscle, the inventors have also recognized that movement of the housing or other component of a wearable neuromuscular recording apparatus mechanically coupled to a neuromuscular recording sensor (e.g., an sEMG electrode) may impart an inertial moment at the electrode-skin interface and can likewise cause motion artifacts in the recorded neuromuscular signals.


In addition to being undesirable in the resulting signal, the inventors have also recognized that large artifacts and shifts in the baseline of a signal often dictate choice of an amplifier gain and filter components such that the amplifier will not saturate and/or will recover quickly. Reducing motion artifacts, electrode contact issues, 50 or 60 Hz noise, and amplifier saturation allows for more flexibility in the choice of circuit components and allows for use of a larger portion of the ADC (analog digital converter) dynamic range for biosignal recording, resulting in finer resolution/precision in the neuromuscular (e.g., sEMG) signal output from a recording system such as that shown in FIG. 1 and FIGS. 10A-B.


In some clinical applications, wet contact electrodes containing a hydrogel or other conductive material at the dermal surface are often used in combination with adhesive pads for signal stability. The inventors have appreciated that these electrodes can be time consuming to apply and are usually single use due to the degradation of the hydrogel (or other ‘wet’) interface and adhesive due to dirt and oils on the skin. The inventors have also recognized that, in some clinical applications, semi-dry electrodes are used instead of wet contact electrodes. The inventors have appreciated that, while semi-dry electrodes are not typically applied with adhesive and may be multi-use, they may require maintenance, proper storage, and can be less durable than a dry electrode.


The inventors have thus recognized the need for an arrangement that provides improved contact between electrodes for neuromuscular and other biosignal recording and a user's body surface. The systems and methods described herein may be used for any bioelectrical surface recording, including neuromuscular recordings (e.g., electromyography, electrical impedance tomography) and other biosignal recordings.



FIG. 1 schematically depicts components of an illustrative neuromuscular recording system 100, in accordance with some embodiments. System 100 includes a pair of neuromuscular recording (e.g., dry sEMG) electrodes 110. In some embodiments, electrodes 110 may be arranged as a portion of a wearable device configured to be worn on or around a part of a user's body. For example, in one non-limiting example, a plurality of neuromuscular recording sensors including neuromuscular recording electrodes (e.g., electrodes 110) are arranged circumferentially around an adjustable and/or elastic band such as a wristband or armband configured to be worn around a user's wrist or arm. Alternatively, at least some of the neuromuscular recording sensors may be arranged on a wearable patch configured to be affixed to a portion of the user's body.


Surface potentials recorded by neuromuscular recording electrodes are typically small (μV to mV) and amplification of the signals recorded by the neuromuscular recording electrodes is typically desired. As shown in FIG. 1, neuromuscular recording (e.g., dry sEMG) electrodes 110 are coupled to amplification circuitry 112, configured to amplify the neuromuscular signals recorded by the electrodes. The output of the amplification circuitry 112 is provided to analog-to-digital converter (ADC) circuitry 114, which converts the amplified neuromuscular signals to digital signals for further processing by microprocessor 116. Microprocessor 116 may be implemented by one or more hardware processors. The processed signals output from microprocessor 116 may be interpreted by host machine 120, examples of which include, but are not limited to, a desktop computer, a laptop computer, a smartwatch, a smartphone, or any other computing device. In some implementations, host machine 120 may be configured to output one or more control signals for controlling a physical or virtual device based, at least in part, on an analysis of the signals output from microprocessor 116.


As shown, neuromuscular recording system 100 also includes sensors 118, which may be configured to record types of information about a state of a user other than neuromuscular information. For example, sensors 118 may include, but are not limited to, temperature sensors configured to measure skin/electrode temperature, inertial measurement unit (IMU) sensors configured to measure movement information such as rotation and acceleration, humidity sensors, heart-rate monitor sensors, camera and video input, and other bio-chemical sensors configured to provide information about the user and/or the user's environment.


In one implementation, sixteen neuromuscular recording sensors including neuromuscular recording (e.g., dry sEMG) electrodes are arranged circumferentially around an elastic band configured to be worn around a body part, such as a user's lower arm. For example, FIG. 2 shows neuromuscular recording sensors 504 coupled to a band 502, which may be an elastic band. The sensors may be arranged circumferentially around the band. It should be appreciated that any suitable number of neuromuscular recording sensors having any suitable number of neuromuscular recording (e.g., dry sEMG) electrodes may be used and the number and arrangement of sensors/electrodes may depend on the particular application for which the wearable device is used. For example, as shown in FIG. 2, some of the neuromuscular recording sensors 504 include two neuromuscular recording electrodes 600 and 602, whereas others of the neuromuscular recording sensors 504 include three neuromuscular recording electrodes 600, 602, and 604, with the middle of the three electrodes being a ground or reference electrode. The ground electrode may be included on one or more of the neuromuscular recording sensors 504 to, for example, further bias the skin potential and/or to filter out noise. Each of the sensors 504 may include a sensor housing 510. Although the schematic diagram in FIG. 1 illustrates only two or three electrodes being connected to an amplifier, it should be appreciated that for sEMG sensors 504 in which one, two, three, or more than three electrodes are used, a corresponding number of connections between the electrodes and the amplification circuitry would be included.


In one example application of the technology described herein, FIG. 3 shows a user 506 wearing elastic band 502 on hand 508. In this way, neuromuscular recording sensors 504 may be configured to record neuromuscular signals as a user controls keyboard 519 using fingers 511.



FIG. 9A shows an alternate configuration of a wearable bioelectrical recording system with sixteen neuromuscular recording sensors 910 (e.g., sEMG sensors) arranged circumferentially around an elastic band 920 configured to be worn around a user's lower arm or wrist in accordance with some embodiments. As shown, neuromuscular recording sensors 910 are arranged circumferentially around elastic band 920. It should be appreciated that any suitable number of neuromuscular recording sensors may be used. The number and arrangement of neuromuscular recording sensors may depend on the particular application for which the wearable system is used. For example, a wearable armband or wristband can be used to generate control information for controlling an augmented reality system, a robot, controlling a vehicle, scrolling through text, controlling a virtual avatar, or any other suitable control task. As shown, the sensors may be coupled together using flexible electronics incorporated into the wireless device, FIG. 9B illustrates a cross-sectional view through one of the sensors of the wearable system shown in FIG. 9A.


In some embodiments, the output of one or more of the sensing components can be optionally processed using hardware signal processing circuitry (e.g., to perform amplification, filtering, and/or rectification). In other embodiments, at least some signal processing of the output of the sensing components can be performed in software. Thus, signal processing of signals sampled by the sensors can be performed in hardware, software, or by any suitable combination of hardware and software, as aspects of the technology described herein are not limited in this respect. A non-limiting example of a signal processing chain used to process recorded data from sensors 910 are discussed in more detail below with reference to FIGS. 10A and 10B.



FIGS. 10A and 10B illustrate a schematic diagram with internal components of a wearable system with sixteen sEMG sensors. As shown, the wearable system includes a wearable portion 1010 (FIG. 10A) and a dongle portion 1020 (FIG. 10B) in communication with the wearable portion 1010 (e.g., via Bluetooth or another suitable short range wireless communication technology). As shown in FIG. 10A, the wearable portion 1010 includes sensors 910, examples of which are described in connection with FIGS. 9A and 9B. The output of the sensors 910 is provided to analog front end 1030 configured to perform analog processing (e.g., noise reduction, filtering, etc.) on the recorded signals. The processed analog signals are then provided to analog-to-digital converter 1032, which converts the analog signals to digital signals that can be processed by one or more computer processors. An example of a computer processor that may be used in accordance with some embodiments is microcontroller (MCU) 1034 illustrated in FIG. 10A. As shown, MCU 1034 may also include inputs from other sensors (e.g., IMU sensor 1040), and power and battery module 1042. The output of the processing performed by MCU may be provided to antenna 1050 for transmission to dongle portion 1020 shown in FIG. 10B.


Dongle portion 1020 includes antenna 1052 configured to communicate with antenna 1050 included as part of wearable portion 1010. Communication between antenna 1050 and 1052 may occur using any suitable wireless technology and protocol, non-limiting examples of which include radiofrequency signaling and Bluetooth. As shown, the signals received by antenna 1052 of dongle portion 1020 may be provided to a host computer for further processing, display, and/or for effecting control of a particular physical or virtual object or objects.


Although the examples provided with reference to FIGS. 9A, 9B and FIGS. 10A, 10B are discussed in the context of interfaces with EMG sensors, it is understood that the techniques described herein for reducing electromagnetic interference can also be implemented in wearable interfaces with other types of sensors including, but not limited to, mechanomyography (MMG) sensors, sonomyography (SMG) sensors, and electrical impedance tomography (EIT) sensors.


When a user performs a motor task, such as moving their arm, a group of muscles necessary to perform the motor task is activated. When the motor task is performed while the user is wearing a wearable device that includes neuromuscular recording sensors, the neuromuscular signals recorded by the sensors on the surface of the body correspond to superimposed and spatiotemporally filtered activity of all motor units in the muscles in the group activated during performance of the motor task. The neuromuscular signals may be analyzed and mapped to control signals to control a device based on the type of movement, pose, force, or gesture that the user performs. For example, if the user performs a thumbs-up gesture with their hand, a corresponding control signal to select an object in a user interface may be generated. The mapping between sensor signals and control signals may be implemented, for example, using an inferential model trained to associate particular sensor signal inputs with control signal outputs. In some embodiments, the output of the trained inferential model may be musculoskeletal position information that describes, for example, the positions and/or forces of elements in a computer-implemented musculoskeletal model. As neuromuscular signals are continuously recorded, the musculoskeletal model may be updated with predictions of the musculoskeletal position information (e.g., joint angles and/or forces) output from the inferential model. Control signals may then be generated based on the updated musculoskeletal position information. In other embodiments, the output of the trained inferential model may be the control information itself, such that a separate musculoskeletal model is not used.


Described herein are neuromuscular (e.g., sEMG) sensor arrangements that provide improved contact between sensor electrodes and a user's body surface (e.g., skin) for improved signal detection.


According to one aspect, some embodiments described herein are directed to a neuromuscular recording sensor having electrodes that are moveable relative to the sensor housing to permit the electrodes to remain in contact with the body surface as the body portion changes conformation and/or the sensor housing moves relative to the body surface (e.g., due to a user moving their arm about their shoulder joint to wave and causing inertial forces on the housing of the neuromuscular recording sensor(s) to translate the position of an electrode relative to a portion of the surface of the user's body (e.g., skin)). In some embodiments, the electrodes may be configured in an assembly that permits them to rotate relative to the sensor housing. In some embodiments, the electrodes may be configured in an assembly that permits them to rotate and translate relative to the sensor housing. The electrodes may have at least two, at least three, at least four, at least five, or six degrees of freedom relative to the sensor housing. In some embodiments, where an electrode has five degrees of freedom relative to the sensor housing, the electrode may translate along three perpendicular axes (i.e., in three dimensions) and rotate about two of these axes relative to the sensor housing. In some embodiments, an electrode may have three degrees of freedom comprising rotation about three axes (i.e. pitch, yaw, and roll). In general, an electrode for neuromuscular recording configured in a wearable assembly or housing may rotate in any or all of the three translational axes (i.e. translating laterally along the skin in two dimensions or vertically as the skin position moves in the vertical plane relative to the housing of the neuromuscular recording system) and/or in any or all of the rotational axes (pitch, yaw, and roll).


In some embodiments, the electrodes may have a starting position in which at least a portion of the electrodes extend out of an opening of the housing, and the electrodes may be configured to move inwardly into the housing through the opening during application of force upon the electrodes. The electrodes and the housing may each be shaped to cooperate with one another to permit movement of the electrodes and to guide the electrode toward a starting position in which the electrode is seated within the housing when the contact force applied to the electrode is removed.


In some embodiments, the electrodes may be free of attachments from the sensor housing, allowing the electrodes to move relative to the housing. In other embodiments, however, the electrodes may be physically attached to the housing, but with slack and/or elasticity in the attachment arrangement (e.g., via a spring) to permit movement of the electrodes relative to the housing.


According to another aspect, in some embodiments described herein, a neuromuscular (e.g., sEMG) electrode (also referred to herein as a sensor) arrangement includes a spring element that biases the neuromuscular electrode to press against the body surface when the neuromuscular recording system that contains the neuromuscular electrode is worn by a user. The spring element may be configured to bias the electrode in a starting position in which the electrode extends outwardly from the sensor housing, while permitting the electrode to move inwardly into the housing upon application of sufficient force against the electrode.


One illustrative implementation of the neuromuscular (e.g., sEMG) electrode (also referred to herein as a sensor) 504 shown in FIGS. 2, 3, and 9A-B is provided in FIG. 4, according to some embodiments. The neuromuscular recording sensor 504 includes dry electrodes 600, 602 and a housing 510, which may be made up of an upper housing 512 and a lower housing 516. The electrodes 600, 602 are moveable relative to the housing 510. In the embodiment shown in FIG. 4, the electrodes are free from attachment to the housing. The sensor housing 510 defines an opening 517 through which the electrode extends and/or moves through. The sensor includes a spring element 530 to bias the electrodes 600, 602 in a stationary starting position relative to the housing. At least a portion of the spring element may be contained within the housing 510. The inventors have recognized that other materials that function as a spring may be used instead of or in addition to the spring element 530. For example, a foam component may be positioned above the electrode within the housing.


When a force is applied to the electrodes 600, 602, e.g., due to contact of skin against the electrodes, the electrodes move relative to the housing, e.g. by rotating, translating, or both. Movement of the electrodes relative to the housing compresses the spring element 530, causing the spring element to store potential energy. When the force applied to the electrodes decreases, the spring element releases the stored potential energy and decompresses, pushing the electrodes back toward their starting positions.


In the illustrative embodiment shown in FIG. 4, the electrodes 600, 602 have five degrees of freedom relative to the housing 510. The electrodes can translate in the X, Y, and Z axes, and rotate about the X and Y axes. The vertical Z axis is oriented along the height of the sensor, the Y axis is oriented along the depth of the sensor, and the X axis is oriented along the width of the sensor. In some embodiments, the electrode has a longitudinal axis 200 that passes through a center of the electrode. The longitudinal axis 200 may bisect the electrode. The longitudinal axis is parallel to the Z axis when the electrode is in the starting position. In some embodiments, the plane of the opening 517 is parallel with the X-Y plane, and an axis normal to the plane of the opening 517 is parallel with the Z axis and with the longitudinal axis 200 of the electrode.


In some embodiments, the electrode is configured to translate relative to the housing in a direction perpendicular to the plane of the opening of the housing. In some embodiments, the electrode is configured to translate relative to the housing in a direction parallel to the plane of the opening of the housing.


In some embodiments, such as that shown in FIG. 4, the electrode is prohibited from rotation about the Z axis (yaw rotation). However, in other embodiments, the electrode is permitted to rotate about the Z axis.



FIG. 5 illustrates a few examples of different positions to which an electrode 600 in an assembly configured according to some embodiments may move during use. At rest, without any contact forces being applied to the electrode, the electrode is in the starting position 620, in which the electrode extends through the opening 517 of the housing, where a portion of the electrode is positioned within the housing 510 and a portion of the electrode is positioned outside the housing. In some embodiments, in the starting position, the portion of the electrode positioned outside the housing is larger than the portion of the electrode positioned inside the housing. In some embodiments, in the starting position, the electrode is aligned with the opening of the housing such that the longitudinal axis 200 of the electrode is parallel to the plane of the opening 517. If the opening 517 has a midpoint, the longitudinal axis of the electrode may extend through the midpoint of the opening.


Upon an application of force to the electrode, the electrode may move into an intermediate position 621 in which a greater portion of the electrode is positioned within the housing 510 as compared to the starting position 620. In the intermediate position 621 shown in FIG. 5, the electrode is both rotated and raised relative to the original starting position 620.


Finally, with an increase of force to the electrode, the electrode may move into a compressed position 622 in which an entirety of the electrode is positioned within the housing. In some embodiments, the position 622 shown in FIG. 5 is a fully raised position such that the electrode cannot move any further into the housing. However, in other embodiments, the electrode is able to move still further into the housing. In yet other embodiments, when the electrode is in the fully raised position, a portion of the electrode remains outside the housing.


Distance D shown in FIG. 5 is the distance of travel of the electrode from the starting position 620 to the compressed position 622. Distance D is also the distance from the bottom surface 680 of the electrode to the bottom surface 513 of the housing 510. In some embodiments, distance D is also the maximum travel distance of the electrode. The inventors recognize that larger values of D permit a larger range of motion of the electrode in the Z-dimension upon a force being exerted upon the electrode (e.g., due to a change in the relative force between the portion of a user's body underlying the electrode and the housing of a wearable neuromuscular recording device that contains the electrode), while also enabling electrode contact to be maintained if the housing of the wearable neuromuscular recording apparatus is positioned such that a particular electrode of the apparatus is relatively far (e.g., having a distance<D) from the surface of the body (e.g., skin). The inventors have recognized that a larger value of D requires a larger housing for that section of the wearable neuromuscular recording device to permit movement of the electrode into the housing up to a distance of D. The inventors have recognized that the value of D should be selected to balance the various constraints listed above for a given form factor of a neuromuscular recording apparatus and portion of the body on which it is intended to be worn.


In some embodiments, different electrodes of a neuromuscular recording device that includes a plurality of electrodes may be configured with different values of D based on the expected range of motion required for that electrode given the form factor of the apparatus and the portion of the body on which it is meant to be worn. For example, an apparatus for neuromuscular recording on the wrist may be configured with electrodes having a larger distance D for electrodes overlying the top and bottom of the wrist and a smaller distance D for electrodes overlying the sides of the wrist, because relative movement of tissue is generally larger at the top and bottom of the wrist where soft tissue (tendons, muscles, etc.) is present than for the side of the wrist where bones are present with less soft tissue.


In some embodiments, distance D may be at least about 0.01 mm, at least about 0.1 mm, at least about 1 mm, at least about 1.2 mm, at least about 1.4 mm, at least about 1.6 mm, at least about 1.8 mm, at least about 2 mm, at least about 2.2 mm, or at least about 2.4 mm. In some embodiments, distance D may be less than or equal to about 4 mm, less than or equal to about 3 mm, less than or equal to about 2.8 mm, less than or equal to about 2.6 mm, less than or equal to about 2.4 mm, less than or equal to about 2.2 mm, less than or equal to about 2 mm, or less than or equal to about 1.8 mm. Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the distance D may be about 1 mm to about 4 mm, or about 1.2 mm to about 3 mm, or about 1.4 mm to about 2.6 mm, or about 1.6 mm to about 2.4 mm, or about 1.8 mm to about 2.2 mm, or about 2 mm.


In some embodiments, the electrode must move a threshold distance in the Z direction along the height of the sensor (e.g. in a direction perpendicular to the plane of the opening into the housing) before the electrode is free to translate and rotate on the other two axes perpendicular to the Z axis. In other embodiments, no threshold distance is needed.


The electrodes may be configured to contour to the body, e.g., by reaching into a valley or cleft between muscles and maintain contact while the user moves and contracts muscles in the body part to which the electrodes are coupled to, e.g., the arm. Thus, the inventors have recognized that the assemblies of neuromuscular recording devices that permit movement (e.g., translation and/or rotation) of one or more electrodes as described herein must have dynamics that are responsive (e.g., via appropriate selection of spring constants of materials) at the timescales of movement of the musculoskeletal system (e.g., hundreds of milliseconds to seconds).


In some embodiments, the electrode 600 has a contact surface 680 that is configured to make contact with the body surface, e.g., skin. In some embodiments, the contact surface 680 may have a surface that is curved in a convex shape to help the electrode roll along the body surface during muscle movements to decrease sliding artifacts. The surface may be contoured in a variety of ways, such as to avoid hair, and to move with the skin. For example, instead of having a uniformly curved convex shape, the surface of the electrode may have some sections that are concave or otherwise have a different curvature/contour to facilitate movement relative to the skin.


It should be appreciated that different degree of freedom arrangements are contemplated. In some embodiments, an electrode rotates relative to the sensor housing. In some embodiments, an electrode has at least two degrees of freedom relative to the sensor housing. For example, the electrode may translate and rotate, or, the electrode may translate along two axes, or, the electrode may rotate about two axes. In some embodiments, an electrode has at least two degree of freedom, or, at least three degrees of freedom, or at least four degrees of freedom, or at least five degrees of freedom, or six degrees of freedom relative to the housing.


In some embodiments, the sensor includes a flexible circuit that permits movement of the electrode relative to the housing. In embodiments with the sensor having a plurality of electrodes, the flexible circuit connects the electrodes together. In some embodiments, a portion of the circuit includes one or more rigid printed circuit boards (“PCBs”) and a portion of the circuit includes one or more flexible PCBs. In some embodiments, a rigid PCB is fixed to each of the electrodes, and the flexible PCBs connect the rigid PCBs to one another. In some embodiments, the flexible PCB is also connected to each of the electrodes. The inventors recognize that the use of one or more flexible PCBs in the mechanical assemblies for a wearable neuromuscular recording device as described herein enable movement of electrodes relative to rigid elements and the housing, so that the electrode is able to maintain contact with the skin as the wearable device moves relative to the user's body surface (e.g., skin).


In the illustrative embodiment shown in FIG. 4, the sensor 504 has a rigid PCB 545 and a flexible PCB 542 attached to the electrode 600 on the longer base 670 side of the electrode. The sensor 504 also includes another rigid PCB 544 in an upper portion of the sensor, above the spring element 530. The flexible PCB 542 may also connect to the upper rigid PCB 544.


The illustrative embodiment shown in FIGS. 6A and 6B shows an example of how a flexible circuit may be used to connect the electrodes together. As best seen in FIG. 6A, a rigid PCB 544 may be attached to each of the electrodes, and a flexible PCB 542 connects each of the rigid PCBs 544 together. The flexible PCB is also connected to each of the electrodes 600, 602, 604, with the flexible PCB between each of the electrodes and their associated rigid PCB. The flexible PCB also connects to an upper rigid PCB 544.


The flexible PCB may include portions of slack 543 between the electrodes that allow for independent movement between the electrodes. The portions of slack may form a curved arc shape when each of the electrodes are in a starting position. When one electrode moves relative to another, the portions of slack may change conformation from a curved shape to more of a linear shape.


In some embodiments, the electrodes are manufactured as a single, monolithic piece of metal, and connected to the flexible circuit. The electrodes may be soldered to the flexible circuit using fabrication techniques such as wave or reflow soldering, or pin/socket connectorization.


In the illustrative embodiment shown in FIG. 6B, the electrodes 600, 602, 604 each include a socket 660. For each of the electrodes, a pin 662 is passed through the socket of the electrode and through the rigid and flexible PCBs, connecting the electrodes to the PCBs.


In some embodiments, the electrode interacts with the spring element via a pin and socket relationship. For example, the electrode may have a protruding post, and the spring element may have a socket that is sized to receive the post of the electrode. In some embodiments, the diameter of the socket is larger than the diameter of the post such that there is some clearance around the post when the post sits within the socket. In some embodiments, the diameter of the socket is equal to the diameter of the post. In some embodiments, the diameter of the socket is smaller than the diameter of the post to create an interference fit between the socket and the post.


In the illustrative embodiment shown in FIG. 4, the electrode 600 has a post 630 that is received within a socket 532 of the spring element. In some embodiments, the post is integrally formed with the electrode as a single, monolithic component.


In some embodiments, a thermal relief is positioned between the electrode and the PCB. A thermal relief may be, for example, an indentation or cutout in a surface of an electrode. For example, as shown in the FIG. 4 embodiment, a thermal relief 640 is an indentation in the 670 surface of the electrode and is located between the electrode 600 and the PCBs 542 and 545. The thermal relief may be located at the surface of the electrode that faces the PCBs. The thermal relief may span across an area that is smaller than the area of overlap between the PCBs and the electrode, such that direct contact may be made between the electrode and the PCBs.


In some embodiments, the electrode and post is soldered to the PCBs of the circuit. The thermal relief 640 may help to dissipate heat from the soldering process to decrease the amount of heat that is transferred to the PCBs. In some embodiments, movement of the electrode may cause the post to heat up, e.g. due to friction. The thermal relief 640 of the electrode may serve to dissipate the heat from the post to decrease the amount of heat that is transferred to the PCBs. In some embodiments, spring element 530 may be made of an insulating material that absorbs heat from the post.


A wearable device may incorporate a plurality of neuromuscular recording (e.g., sEMG) sensors having moveable electrodes. Each of the sensors may be electrically connected with one another. The housings of each of the sensors may be coupled to one another to form the wearable device. In some embodiments, the housings of adjacent sensors may be attached to one another while remaining moveable relative to one another. The housings of adjacent sensors may have one, two, three, four, five, or six degrees of freedom relative to one another. In some embodiments, the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another. In some embodiments, the housings of adjacent sensors are attached to one another via an elastic band and are free to pivot and translate relative to one another.


In the illustrative embodiment shown in FIG. 2, adjacent sensor housings are attached to one another via joints 501. Sensors are connected to one another via joints to form a curveable array of sensors extending from a first end 410 to a second end 420. To form a closed loop, a band 502 may be used to connect the ends 410, 412 of the arc of sensors. The joints 501 between the sensors may have the ability to permit adjacent sensors to pivot relative to one another and/or be pulled away from one another. The band may form a complete loop that is coupled to the array of sensors, as best seen in FIG. 3. The band 502 may have elastic properties to create a biasing force that provides continuous pressure of the electrodes against the wearer's body surface, e.g., the skin of the wearer's arm. This continuous pressure provided by the elastic band is opposed by the biasing force provided by the spring elements in each of the sensors. The pressure of the electrodes against the body surface created by the elastic band may cause the electrodes of the sensors 504 to move relative to the sensor housings, causing the spring elements of the sensors to compress. As the wearer moves and/or contracts muscles in the body part on which the device is worn, the continuous pressure provided by the elastic band, along with the ability of the electrodes to move relative to the sensor housings with the moving skin, help to keep the electrodes in contact with the skin. In some embodiments, the housings themselves and the joints that connect them form a wearable device such that a separate band coupled to the housings is not required.


The spring element 530 is a component that is capable of storing potential energy. In the illustrative embodiments shown in the figures, the spring element is an elastically compressible block of material. Examples of possible materials for the spring element include, but are not limited to, neoprene, EPDM, foam, silicone rubber, natural rubber, synthetic rubber, sponge rubber, foam rubber, other rubbers, PVC, thermoplastic polymers. The spring element may take on different forms other than a block of material. For example, the spring element may be a helical spring such as a coil spring, tapered spring, or hourglass spring, or the spring element may be a leaf spring, torsion spring, disc spring, clock spring, flat spring, wave spring, hourglass spring, a stretchable fabric, an elastically compressible component, or any other component that can be used to store potential energy.


The spring element may be a single component, as with the compressible block shown in the figures, or may be a collection of multiple components, such as a plurality of spring coils spread out over an area of the electrode, e.g., one on each corner of the upper surface of the electrode and one or more coils in a central region of the upper surface of the electrode.


As discussed above, in some embodiments, the housings of adjacent sensors are attached to one another via a hinge and are free to pivot relative to one another. In some embodiments, the electrode within the sensor housing only has one degree of freedom relative to the sensor housing, with extra degrees of freedom provided by the hinge connecting adjacent sensors. For example, a spring element 1110 oriented in the axis normal to the sensor housing may provide the single degree of freedom for the electrode relative to the housing as shown, for example, in FIG. 11A. As shown in FIG. 11B, hinge 1120 may provide additional degree(s) of freedom. In such an arrangement, the combination of the single degree of freedom provided by the spring element 1110 and the additional one or more degrees of freedom provided by the hinge 1120 provide a wearable biosensor recording device with multiple degrees of freedom to enable electrodes to remain in contact with the body surface (e.g., the skin) during movements and/or muscle contractions, as described herein.


In some embodiments, the spring element may be made of a material having a Young's Modulus of at least about 0.5 MPa, at least about 1 MPa, at least about 1.5 MPa, at least about 2 MPa, at least about 2.5 MPa, at least about 3 MPa, at least about 3.5 MPa, at least about 4 MPa, at least about 4.5 MPa, at least about 5 MPa, at least about 5.5 MPa, at least about 6 MPa, at least about 6.5 MPa, at least about 7 MPa, at least about 7.5 MPa, at least about 8 MPa, at least about 8.5 MPa, at least about 9 MPa, at least about 9.5 MPa, or at least about 10 MPa. In some embodiments, the spring element may be made of a material having a Young's Modulus of less than or equal to about 10 MPa, less than or equal to about 9.5 MPa, less than or equal to about 9 MPa, less than or equal to about 8.5 MPa, less than or equal to about 8 MPa, less than or equal to about 7.5 MPa, less than or equal to about 7 MPa, less than or equal to about 6.5 MPa, less than or equal to about 6 MPa, less than or equal to about 5.5 MPa, less than or equal to about 5 MPa, less than or equal to about 4.5 MPa, less than or equal to about 4 MPa, less than or equal to about 3.5 MPa, less than or equal to about 3 MPa, less than or equal to about 2.5 MPa, less than or equal to about 2 MPa, less than or equal to about 1.5 MPa, or less than or equal to about 1 MPa. Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the spring element may be made of a material having a Young's Modulus of about 0.5 MPa to about 10 MPa, or about 1.5 MPa to about 9 MPa, or about 2.5 MPa to about 8 MPa, or about 3.5 MPa to about 7 MPa, or about 5 MPa to about 6.5 MPa, or about 5 to 7 MPa, or about 6 MPa.


In some embodiments, the spring element may have a spring constant k of at least about 1.5 N/mm, 2 N/mm, 2.5 N/mm, 3 N/mm, 3.5 N/mm, 3.75 N/mm, 4 N/mm, 4.5 N/mm, or 5 N/mm. In some embodiments, the spring element may have a spring constant k of less than or equal to about 10 N/mm, 9 N/mm, 8 N/mm, 7 N/mm, 6 N/mm, 5 N/mm, 4 N/mm, 3.75 N/mm, 3.5 N/mm, 3 N/mm, or 2 N/mm. Combinations of the above-referenced ranges are also possible. For example, in some embodiments, the spring element may have a spring constant k of about 1.5 N/mm to about 10 N/mm, or about 2 N/mm to about 8 N/mm, or about 2.5 N/mm to about 6 N/mm, or about 3 N/mm to about 4 N/mm, or about 3.5 N/mm to about 4 N/mm, or about 3.75 N/mm.


In some embodiments, the spring element may behave as a nonlinear spring.


In some embodiments, the spring element may provide different spring forces and/or mechanical resistances on different axes. This may be accomplished by a spring element that is a single component, or a spring element that is a collection of components.


In some embodiments, the spring element is unattached to the electrode and/or to the housing. In some embodiments, the spring element is not physically attached to any components of the sensor. Instead, the spring element is free-floating. The spring element may be constrained from movement due to the physical presence of other components arranged on either side and/or surrounding the spring element. For example, in the embodiment shown in FIG. 4, the spring element 530 is sandwiched between rigid PCB 544 and rigid PCB 545. In some embodiments, the sides of the spring element may be constrained from lateral movement by the inner surfaces of the housing.


According to some aspects, in some embodiments, physical interaction between the housing and the electrode determines the starting position of the electrode. The housing may be shaped to accommodate the shape of the electrode such that the housing guides the electrode back into its starting position when the electrode is no longer subjected to a contact force. In some embodiments, the electrode has only a single starting position.


In some embodiments, the housing has an inner surface with sloped walls that serve as a funnel to guide the electrode back toward its starting position. For example, in the illustrative embodiment shown in FIGS. 4 and 5, the housing 510 has inner surfaces 515 adjacent to the opening 517 into the housing. The inner surfaces are angled inwardly toward one another to create a funnel effect. To cooperate with these inner surfaces, the electrode has side surfaces 682, 683 that are also sloped inwardly toward one another. The side surfaces of the electrode may be sloped at a same angle as that of the inner walls of the housing. As a result, when the spring element releases potential energy and pushes the electrode back out of the housing toward the starting position, the inner surfaces of the housing may help to properly seat the electrode within the opening 517 of the housing into the starting position.


The electrodes shown in FIGS. 4-6B have a trapezoidal prism shape. In some embodiments, when the electrode is in the starting position, the longer base 670 of the trapezoidal prism is located within the housing 510 and the shorter base is the contact surface 680, which is located outside the housing, and the two side surface 682 and 683 connect the longer base 670 to the shorter base/contact surface 680. Note that, in embodiments where contact surface 680 is curved in a convex shape, the approximate shape of the electrode is still considered to be trapezoidal even though the two bases 670, 680 are not technically parallel to one another.


It should be appreciated that different electrode shapes and housing shapes are contemplated. For example, the electrode may have a cross-sectional shape that is or is approximately trapezoidal, triangular, rectangular, square, semicircular, semi-elliptical, domed, round, or any other suitable shape. The electrode may be or may approximate the shape of: a cylinder, prism (including rectangular prism and trapezoidal prism), cube, cuboid, conical frustum, square frustum, pentagonal frustum, a hemisphere, a dome, an elongated dome, egg-shaped, an ellipsoid, a semi-ellipsoid, or any other suitable shape.


In one illustrative embodiment shown in FIGS. 7A and 7B, an electrode 600 may have side surfaces 682, 683 that are parallel to one another rather than sloped. As seen in FIG. 7B, the electrode 600 has an approximately rectangular cross-section, with the contact surface 680 being outwardly curved in a convex shape.


In the embodiment shown in FIGS. 7A and 7B, without sloped side surfaces to provide a funneling effect, the electrode may include a different feature to permit the electrode to be seated within the opening of the housing. The electrode includes shoulders 650 that interact with the housing to seat the electrode in place. The housing has contact surfaces in the form of ledges 518 protruding from the inner surface of the housing, where the ledges are sized and shaped to receive the shoulders 650 of the electrode. As seen in FIG. 7B, with the electrode 600 in the starting position, the shoulders 650 of the electrode are pushed by the spring element 530 against the ledges 518 of the housing to seat the electrode in place within the opening 517 of the housing. The shoulders of the electrode may protrude outwardly beyond the side surfaces 682, 683 of the electrode, as shown in FIG. 7B.


In another illustrative embodiment shown in FIGS. 8A and 8B, electrode 600 has a round form. The electrode has one continuous sidewall 686 that extends around the entire electrode. The electrode 600 has an approximately frustoconical shape, with a longer base 670 and a shorter base 680 that serves as a contact surface. The contact surface 680 may be curved outwardly in a convex shape. As seen in FIG. 8B, the cross-sectional shape of the electrode is approximately trapezoidal.


A housing shaped to accommodate a frustoconical electrode such as the one shown in FIGS. 8A and 8B may have a circular inner wall surface that is slanted to match the angle of the sidewall 686 of the electrode. The opening defined by the housing through which the electrode extends and moves may be circular.


It should be appreciated that different electrode shapes may be used for the sensor, and the sensor housing may have different conformations to accommodate and guide movement of such electrodes.


Having thus described several aspects of at least one embodiment of this invention, it is to be appreciated that various alterations, modifications, and improvements will readily occur to those skilled in the art.


Such alterations, modifications, and improvements are intended to be part of this disclosure, and are intended to be within the spirit and scope of the invention. Further, though advantages of the present invention are indicated, it should be appreciated that not every embodiment of the technology described herein will include every described advantage. Some embodiments may not implement any features described as advantageous herein and in some instances one or more of the described features may be implemented to achieve further embodiments. Accordingly, the foregoing description and drawings are by way of example only.


Various aspects of the apparatus and techniques described herein may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing description and is therefore not limited in its application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. For example, aspects described in one embodiment may be combined in any manner with aspects described in other embodiments.


Use of ordinal terms such as “first,” “second,” “third,” etc., in the claims to modify a claim element does not by itself connote any priority, precedence, or order of one claim element over another or the temporal order in which acts of a method are performed, but are used merely as labels to distinguish one claim element having a certain name from another element having a same name (but for use of the ordinal term) to distinguish the claim elements.


Also, the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of “including,” “comprising,” or “having,” “containing,” “involving,” and variations thereof herein, is meant to encompass the items listed thereafter and equivalents thereof as well as additional items.

Claims
  • 1. A wearable bioelectrical sensing device comprising: a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode;a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, the first housing including at least one angled portion that guides one or more corresponding angled portions of the first and second electrodes into a starting position within the first housing, wherein the first and second electrodes are free to translate along the X, Y, and Z axes within the first housing, the X axis being oriented along the width of the first and second electrodes, the Y axis being oriented along the depth of the first and second electrodes, and the Z axis being oriented along the height of the first and second electrodes;a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrodes to contact the body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user;a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing;a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing; anda spring element configured to bias the first electrode toward the starting position of the first electrode.
  • 2. The wearable bioelectrical sensing device of claim 1, wherein at least a portion of the spring element is contained within the first housing.
  • 3. The wearable bioelectrical sensing device of claim 1, wherein the spring element comprises foam or neoprene.
  • 4. The wearable bioelectrical sensing device of claim 1, wherein the first housing defines an opening and, in the starting position, the first electrode extends through the opening of the first housing.
  • 5. The wearable bioelectrical sensing device of claim 1, wherein a minimum specified distance between the first housing and the first electrode is determined based on an expected range of motion for the first electrode.
  • 6. The wearable bioelectrical sensing device of claim 1, wherein an opening in the first housing allows the first electrode to rotate relative to the first housing about the X and Y axes.
  • 7. The wearable bioelectrical sensing device of claim 6, wherein a post in the first housing prohibits the first electrode from rotating about the Z axis relative to the spring element.
  • 8. The wearable bioelectrical sensing device of claim 7, wherein the first housing defines an opening and, in the starting position, the first electrode extends through the opening of the first housing.
  • 9. The wearable bioelectrical sensing device of claim 1, further comprising a post attached to the first electrode and extending through the spring element.
  • 10. The wearable bioelectrical sensing device of claim 9, wherein the post is integrally formed with the first electrode as a single, monolithic component.
  • 11. The wearable bioelectrical sensing device of claim 1, wherein a first specified range of movement exists between the first electrode relative to the first housing and a second specified range of movement exists between the third electrode relative to the second housing, and wherein the first specified range of movement of the first electrode relative to the first housing is different than the second specified range of movement of the third electrode relative to the second housing.
  • 12. The wearable bioelectrical sensing device of claim 1, wherein a cross section of the first electrode has a shape selected from the group consisting of a trapezoidal shape, a rectangular shape, a circular shape, and an elliptical shape.
  • 13. The wearable bioelectrical sensing device of claim 12, wherein the first electrode has a curved contact surface.
  • 14. The wearable bioelectrical sensing device of claim 1, further comprising a band coupled to the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
  • 15. The wearable bioelectrical sensing device of claim 1, further comprising a hinge coupling the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
  • 16. A wearable bioelectrical sensing device, comprising: a plurality of electrodes including a first electrode, a second electrode, a third electrode, and a fourth electrode;a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, each of the first and second electrodes being movable relative to the first housing with at least one degree of freedom, the first housing including least one angled portion that guides one or more corresponding angled portions of the first and second electrodes into a starting position within the first housing, wherein the first and second electrodes are free to translate along the X, Y, and Z axes within the first housing, the X axis being oriented along the width of the first and second electrodes, the Y axis being oriented along the depth of the first and second electrodes, and the Z axis being oriented along the height of the first and second electrodes;a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being movable relative to the second housing with at least one degree of freedom such that each of the third electrode and the fourth electrode is movable from a starting position to a different position relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrode to contact the body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user;a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing;a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing; anda spring element configured to bias the first electrode toward the starting position of the first electrode.
  • 17. The wearable bioelectrical sensing device of claim 16, wherein an opening in the first housing allows the first electrode to move relative to the first housing with five degrees of freedom, and wherein the five degrees of freedom comprise translation along the X axis, the Y axis, and the Z axis, and rotation about the X and Y axis, wherein the X axis, the Y axis, and the Z axis are perpendicular to one another.
  • 18. The wearable bioelectrical sensing device of claim 16, further comprising a hinge coupling the first housing and the second housing to provide the arrangement that enables the first, second, third, and fourth electrode to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user.
  • 19. The wearable bioelectrical sensing device of claim 18, wherein the hinge is configured to enable the first electrode to move with at least one additional degree of freedom.
  • 20. A method of producing a wearable bioelectrical sensing device, the method comprising: assembling a first housing containing at least a portion of a first electrode and at least a portion of a second electrode, the first housing including at least one angled portion that guides one or more corresponding angled portions of the first and second electrodes into a starting position within the first housing, wherein the first and second electrodes are free to translate along the X, Y, and Z axes within the first housing, the X axis being oriented along the width of the first and second electrodes, the Y axis being oriented along the depth of the first and second electrodes, and the Z axis being oriented along the height of the first and second electrodes,assembling a second housing containing at least a portion of a third electrode and at least a portion of a fourth electrode, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first, second, third, and fourth electrodes to contact the body part of a user when the wearable bioelectrical sensing device is worn around the body part of the user;assembling a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing;assembling a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing; andassembling a spring element configured to bias the first electrode toward a starting position of the first electrode.
  • 21. The method of claim 20, further comprising: assembling the spring element contained within the first housing, wherein the spring element is capable of rotating the first electrode relative to the first housing, and wherein the spring element is configured to bias the first electrode toward the starting position.
  • 22. The method of claim 20, wherein the first electrode is capable of rotating relative to the first housing about a first axis, and wherein the first electrode is capable of rotating relative to the first housing about the X axis, and wherein the first electrode is capable of rotating relative to the first housing about the Y axis that is perpendicular to the X axis while the first electrode maintains contact with the skin throughout the rotation.
  • 23. A system comprising: a first electrode, a second electrode, a third electrode, and a fourth electrode;a first housing containing at least a portion of the first electrode and at least a portion of the second electrode, the first housing including at least one angled portion that guides one or more corresponding angled portions of the first and second electrodes into a starting position within the first housing, wherein the first and second electrodes are free to translate along the X, Y, and Z axes within the first housing, the X axis being oriented along the width of the first and second electrodes, the Y axis being oriented along the depth of the first and second electrodes, and the Z axis being oriented along the height of the first and second electrodes,a second housing containing at least a portion of the third electrode and at least a portion of the fourth electrode, each of the third and fourth electrodes being configured to rotate relative to the second housing, wherein the first housing and the second housing are coupled to each other in an arrangement that enables the first and second electrodes to contact the body part of the user when the wearable bioelectrical sensing device is worn around the body part of the user;a first flexible circuit electrically connecting the first electrode to the second electrode within the first housing;a second flexible circuit electrically connecting the third electrode to the fourth electrode within the second housing; anda spring element configured to bias the first electrode toward the starting position of the first electrode.
  • 24. The system of claim 23, wherein the first electrode is configured to move with five degrees of freedom relative to the first housing, wherein the five degrees of freedom comprise translation along the X axis, the Y axis, and the Z axis, and rotation about the X and Y axis, wherein the X axis, the Y axis, and the Z axis are perpendicular to one another.
RELATED APPLICATIONS

This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 62/700,434 filed Jul. 19, 2018 and titled, “METHODS AND APPARATUS FOR IMPROVED SIGNAL ROBUSTNESS FOR A WEARABLE NEUROMUSCULAR DEVICE,” the entire contents of which is incorporated by reference herein.

US Referenced Citations (285)
Number Name Date Kind
4055168 Miller et al. Oct 1977 A
4896120 Kamil Jan 1990 A
5625577 Kunii et al. Apr 1997 A
6005548 Latypov et al. Dec 1999 A
6009210 Kand Dec 1999 A
6244873 Hill et al. Jun 2001 B1
6411843 Zarychta Jun 2002 B1
6658287 Litt et al. Dec 2003 B1
6720984 Jorgensen et al. Apr 2004 B1
6774885 Even-Zohar Aug 2004 B1
6942621 Avinash et al. Sep 2005 B2
7089148 Bachmann et al. Aug 2006 B1
7351975 Brady et al. Apr 2008 B2
7574253 Edney et al. Aug 2009 B2
7580742 Tan et al. Aug 2009 B2
7787946 Stahmann et al. Aug 2010 B2
7805386 Greer Sep 2010 B2
7901368 Flaherty et al. Mar 2011 B2
8170656 Tan et al. May 2012 B2
8190249 Gharieb et al. May 2012 B1
8311623 Sanger Nov 2012 B2
8351651 Lee Jan 2013 B2
8421634 Tan et al. Apr 2013 B2
8435191 Barboutis et al. May 2013 B2
8437844 Syed Momen et al. May 2013 B2
8447704 Tan et al. May 2013 B2
8484022 Vanhoucke Jul 2013 B1
8718980 Garudadri et al. May 2014 B2
8744543 Li et al. Jun 2014 B2
8754862 Zaliva Jun 2014 B2
D717685 Bailey et al. Nov 2014 S
8880163 Barachant et al. Nov 2014 B2
8890875 Jammes et al. Nov 2014 B2
8892479 Tan et al. Nov 2014 B2
9037530 Tan et al. May 2015 B2
D742272 Bailey et al. Nov 2015 S
9218574 Phillipps et al. Dec 2015 B2
9235934 Mandella et al. Jan 2016 B2
9240069 Li Jan 2016 B1
9278453 Assad Mar 2016 B2
9299248 Lake et al. Mar 2016 B2
D756359 Bailey et al. May 2016 S
9351653 Harrison May 2016 B1
9367139 Ataee et al. Jun 2016 B2
9372535 Bailey et al. Jun 2016 B2
9389694 Ataee et al. Jul 2016 B2
9408316 Bailey et al. Aug 2016 B2
9459697 Bedikian et al. Oct 2016 B2
9483123 Aleem et al. Nov 2016 B2
9597015 McNames et al. Mar 2017 B2
9600030 Bailey et al. Mar 2017 B2
9612661 Wagner et al. Apr 2017 B2
9613262 Holz Apr 2017 B2
9654477 Kotamraju May 2017 B1
9659403 Horowitz May 2017 B1
9687168 John Jun 2017 B2
9696795 Marcolina et al. Jul 2017 B2
9720515 Wagner et al. Aug 2017 B2
9741169 Holz Aug 2017 B1
9766709 Holz Sep 2017 B2
9785247 Horowitz et al. Oct 2017 B1
9788789 Bailey Oct 2017 B2
9864431 Keskin et al. Jan 2018 B2
9867548 Le et al. Jan 2018 B2
9880632 Ataee et al. Jan 2018 B2
9891718 Connor Feb 2018 B2
10042422 Morun et al. Aug 2018 B2
10070799 Ang et al. Sep 2018 B2
10078435 Noel Sep 2018 B2
10101809 Morun et al. Oct 2018 B2
10152082 Bailey Dec 2018 B2
10188309 Morun et al. Jan 2019 B2
10199008 Aleem et al. Feb 2019 B2
10203751 Keskin et al. Feb 2019 B2
10216274 Chapeskie et al. Feb 2019 B2
10251577 Morun et al. Apr 2019 B2
10310601 Morun et al. Jun 2019 B2
10331210 Morun et al. Jun 2019 B2
10362958 Morun et al. Jul 2019 B2
10409371 Kaifosh et al. Sep 2019 B2
10437335 Daniels Oct 2019 B2
10460455 Giurgica-Tiron et al. Oct 2019 B2
10489986 Kaifosh et al. Nov 2019 B2
10496168 Kaifosh et al. Dec 2019 B2
10504286 Kaifosh et al. Dec 2019 B2
20030144829 Geatz et al. Jul 2003 A1
20030171921 Manabe et al. Sep 2003 A1
20030184544 Prudent Oct 2003 A1
20040054273 Finneran Mar 2004 A1
20040092839 Shin et al. May 2004 A1
20060129057 Maekawa et al. Jun 2006 A1
20070009151 Pittman et al. Jan 2007 A1
20070172797 Hada et al. Jul 2007 A1
20070177770 Derchak et al. Aug 2007 A1
20070256494 Nakamura et al. Nov 2007 A1
20070285399 Lund Dec 2007 A1
20080051673 Kong et al. Feb 2008 A1
20080052643 Ike et al. Feb 2008 A1
20080103639 Troy et al. May 2008 A1
20080214360 Stirling et al. Sep 2008 A1
20080221487 Zohar et al. Sep 2008 A1
20090027337 Hildreth Jan 2009 A1
20090079813 Hildreth Mar 2009 A1
20090082692 Hale et al. Mar 2009 A1
20090082701 Zohar et al. Mar 2009 A1
20090112080 Matthews Apr 2009 A1
20090124881 Rytky May 2009 A1
20090326406 Tan et al. Dec 2009 A1
20090327171 Tan et al. Dec 2009 A1
20100030532 Arora et al. Feb 2010 A1
20100063794 Hernandez-Rebollar Mar 2010 A1
20100106044 Linderman Apr 2010 A1
20100113910 Brauers et al. May 2010 A1
20100280628 Sankai Nov 2010 A1
20100292595 Paul Nov 2010 A1
20100292606 Prakash et al. Nov 2010 A1
20100292617 Lei et al. Nov 2010 A1
20100293115 Seyed Momen Nov 2010 A1
20100315266 Gunawardana et al. Dec 2010 A1
20110077484 Van Slyke et al. Mar 2011 A1
20110092826 Lee et al. Apr 2011 A1
20110173204 Murillo et al. Jul 2011 A1
20110173574 Clavin et al. Jul 2011 A1
20110230782 Bartol et al. Sep 2011 A1
20120066163 Balls et al. Mar 2012 A1
20120188158 Tan et al. Jul 2012 A1
20120265480 Oshima Oct 2012 A1
20120283526 Gommesen et al. Nov 2012 A1
20130004033 Trugenberger Jan 2013 A1
20130077820 Marais et al. Mar 2013 A1
20130123656 Heck May 2013 A1
20130141375 Ludwig et al. Jun 2013 A1
20130207889 Chang et al. Aug 2013 A1
20130217998 Mahfouz et al. Aug 2013 A1
20130232095 Tan et al. Sep 2013 A1
20130317382 Le Nov 2013 A1
20130317648 Assad Nov 2013 A1
20140052150 Taylor et al. Feb 2014 A1
20140092009 Yen et al. Apr 2014 A1
20140098018 Kim et al. Apr 2014 A1
20140196131 Lee Jul 2014 A1
20140198034 Bailey et al. Jul 2014 A1
20140198035 Bailey et al. Jul 2014 A1
20140223462 Aimone et al. Aug 2014 A1
20140240103 Lake et al. Aug 2014 A1
20140240223 Lake et al. Aug 2014 A1
20140245200 Holz Aug 2014 A1
20140249397 Lake et al. Sep 2014 A1
20140277622 Raniere Sep 2014 A1
20140278441 Ton et al. Sep 2014 A1
20140297528 Agrawal et al. Oct 2014 A1
20140304665 Holz Oct 2014 A1
20140330404 Abdelghani et al. Nov 2014 A1
20140334083 Bailey Nov 2014 A1
20140344731 Holz Nov 2014 A1
20140355825 Kim et al. Dec 2014 A1
20140358024 Nelson et al. Dec 2014 A1
20140361988 Katz et al. Dec 2014 A1
20140364703 Kim et al. Dec 2014 A1
20140365163 Jallon Dec 2014 A1
20140376773 Holz Dec 2014 A1
20150006120 Sett et al. Jan 2015 A1
20150010203 Muninder et al. Jan 2015 A1
20150025355 Bailey Jan 2015 A1
20150029092 Holz et al. Jan 2015 A1
20150035827 Yamaoka et al. Feb 2015 A1
20150045689 Barone Feb 2015 A1
20150045699 Mokaya et al. Feb 2015 A1
20150051470 Bailey et al. Feb 2015 A1
20150057770 Bailey et al. Feb 2015 A1
20150070270 Bailey et al. Mar 2015 A1
20150070274 Morozov Mar 2015 A1
20150084860 Aleem et al. Mar 2015 A1
20150109202 Ataee et al. Apr 2015 A1
20150124566 Lake et al. May 2015 A1
20150128094 Baldwin et al. May 2015 A1
20150141784 Morun et al. May 2015 A1
20150148641 Morun May 2015 A1
20150157944 Gottlieb Jun 2015 A1
20150169074 Ataee et al. Jun 2015 A1
20150182165 Miller Jul 2015 A1
20150193949 Katz et al. Jul 2015 A1
20150223716 Korkala et al. Aug 2015 A1
20150234426 Bailey et al. Aug 2015 A1
20150261306 Lake Sep 2015 A1
20150261318 Scavezze et al. Sep 2015 A1
20150277575 Ataee et al. Oct 2015 A1
20150296553 DiFranco et al. Oct 2015 A1
20150302168 De Sapio et al. Oct 2015 A1
20150309563 Connor Oct 2015 A1
20150309582 Gupta Oct 2015 A1
20150313496 Connor Nov 2015 A1
20150325202 Lake et al. Nov 2015 A1
20150332013 Lee et al. Nov 2015 A1
20150346701 Gordon et al. Dec 2015 A1
20150366504 Connor Dec 2015 A1
20150370326 Chapeskie et al. Dec 2015 A1
20150370333 Ataee et al. Dec 2015 A1
20160011668 Gilad-Bachrach et al. Jan 2016 A1
20160049073 Lee Feb 2016 A1
20160092504 Mitri et al. Mar 2016 A1
20160144172 Hsueh et al. May 2016 A1
20160162604 Xioli et al. Jun 2016 A1
20160187992 Yamamoto et al. Jun 2016 A1
20160235323 Tadi et al. Aug 2016 A1
20160239080 Marcolina et al. Aug 2016 A1
20160262687 Imperial Sep 2016 A1
20160274758 Bailey Sep 2016 A1
20160275726 Mullins Sep 2016 A1
20160292497 Kehtarnavaz et al. Oct 2016 A1
20160313798 Connor Oct 2016 A1
20160313801 Wagner et al. Oct 2016 A1
20160313890 Walline et al. Oct 2016 A1
20160313899 Noel Oct 2016 A1
20160350973 Shapira et al. Dec 2016 A1
20170031502 Rosenberg et al. Feb 2017 A1
20170035313 Hong et al. Feb 2017 A1
20170061817 Mettler May Mar 2017 A1
20170068445 Lee et al. Mar 2017 A1
20170080346 Abbas Mar 2017 A1
20170090604 Barbier Mar 2017 A1
20170091567 Wang et al. Mar 2017 A1
20170119472 Herrmann et al. May 2017 A1
20170123487 Hazra et al. May 2017 A1
20170124816 Yang et al. May 2017 A1
20170161635 Oono et al. Jun 2017 A1
20170188980 Ash Jul 2017 A1
20170259167 Cook et al. Sep 2017 A1
20170285756 Wang et al. Oct 2017 A1
20170285848 Rosenberg et al. Oct 2017 A1
20170296363 Yetkin et al. Oct 2017 A1
20170301630 Nguyen et al. Oct 2017 A1
20170308118 Ito Oct 2017 A1
20170344706 Tones et al. Nov 2017 A1
20170347908 Watanabe et al. Dec 2017 A1
20180000367 Longinotti-Buitoni Jan 2018 A1
20180020951 Kaifosh et al. Jan 2018 A1
20180020978 Kaifosh et al. Jan 2018 A1
20180024634 Kaifosh et al. Jan 2018 A1
20180024635 Kaifosh et al. Jan 2018 A1
20180064363 Morun et al. Mar 2018 A1
20180067553 Morun et al. Mar 2018 A1
20180081439 Daniels Mar 2018 A1
20180088765 Bailey Mar 2018 A1
20180092599 Kerth Apr 2018 A1
20180095630 Bailey Apr 2018 A1
20180101235 Bodensteiner et al. Apr 2018 A1
20180101289 Bailey Apr 2018 A1
20180120948 Aleem et al. May 2018 A1
20180140441 Poirters May 2018 A1
20180150033 Lake et al. May 2018 A1
20180153430 Ang et al. Jun 2018 A1
20180153444 Yang et al. Jun 2018 A1
20180154140 Bouton et al. Jun 2018 A1
20180178008 Bouton et al. Jun 2018 A1
20180301057 Hargrove et al. Oct 2018 A1
20180307314 Connor Oct 2018 A1
20180321745 Morun et al. Nov 2018 A1
20180321746 Morun et al. Nov 2018 A1
20180333575 Bouton Nov 2018 A1
20180344195 Morun et al. Dec 2018 A1
20180360379 Harrison et al. Dec 2018 A1
20190008453 Spoof Jan 2019 A1
20190025919 Tadi et al. Jan 2019 A1
20190033967 Morun et al. Jan 2019 A1
20190033974 Mu et al. Jan 2019 A1
20190038166 Tavabi et al. Feb 2019 A1
20190076716 Chiou et al. Mar 2019 A1
20190121305 Kaifosh et al. Apr 2019 A1
20190121306 Kaifosh et al. Apr 2019 A1
20190146809 Lee et al. May 2019 A1
20190150777 Guo et al. May 2019 A1
20190192037 Morun et al. Jun 2019 A1
20190212817 Kaifosh et al. Jul 2019 A1
20190223748 Al-natsheh et al. Jul 2019 A1
20190227627 Kaifosh et al. Jul 2019 A1
20190228330 Kaifosh et al. Jul 2019 A1
20190228533 Giurgica-Tiron et al. Jul 2019 A1
20190228579 Kaifosh et al. Jul 2019 A1
20190228590 Kaifosh et al. Jul 2019 A1
20190228591 Giurgica-Tiron et al. Jul 2019 A1
20190247650 Tran Aug 2019 A1
20190324549 Araki et al. Oct 2019 A1
20190357787 Barachant et al. Nov 2019 A1
20190362557 Lacey et al. Nov 2019 A1
Foreign Referenced Citations (37)
Number Date Country
2902045 Aug 2014 CA
2921954 Feb 2015 CA
2939644 Aug 2015 CA
1838933 Sep 2006 CN
103777752 May 2014 CN
105190578 Dec 2015 CN
106102504 Nov 2016 CN
2198521 Jun 2012 EP
2959394 Dec 2015 EP
3104737 Dec 2016 EP
H05-277080 Oct 1993 JP
2005-095561 Apr 2005 JP
2010-520561 Jun 2010 JP
2016-507851 Mar 2016 JP
2017-509386 Apr 2017 JP
2015-0123254 Nov 2015 KR
2016-0121552 Oct 2016 KR
10-1790147 Oct 2017 KR
WO 2008109248 Sep 2008 WO
WO 2009042313 Apr 2009 WO
WO 2010104879 Sep 2010 WO
WO 2012155157 Nov 2012 WO
WO 2014130871 Aug 2014 WO
WO 2014186370 Nov 2014 WO
WO 2014194257 Dec 2014 WO
WO 2014197443 Dec 2014 WO
WO 2015027089 Feb 2015 WO
WO 2015073713 May 2015 WO
WO 2015081113 Jun 2015 WO
WO 2015123445 Aug 2015 WO
WO 2015199747 Dec 2015 WO
WO 2016041088 Mar 2016 WO
WO 2017062544 Apr 2017 WO
WO 2017092225 Jun 2017 WO
WO 2017120669 Jul 2017 WO
WO 2017172185 Oct 2017 WO
WO 2017208167 Dec 2017 WO
Non-Patent Literature Citations (99)
Entry
PCT/US2017/043686, dated Oct. 6, 2017, International Search Report and Written Opinion.
PCT/2017/043686, dated Feb. 7, 2019, International Preliminary Report on Patentability.
PCT/US2017/043693, dated Oct. 6, 2017, International Search Report and Written Opinion.
PCT/US2017/043693, dated Feb. 7, 2019, International Preliminary Report on Patentability.
PCT/US2017/043791, dated Oct. 5, 2017, International Search Report and Written Opinion.
PCT/US2017/043791, dated Feb. 7, 2019, International Preliminary Report on Patentability.
PCT/US2017/043792, dated Oct. 5, 2017, International Search Report and Written Opinion.
PCT/US2017/043792, dated Feb. 7, 2019, International Preliminary Report on Patentability.
PCT/US2018/056768, dated Jan. 15, 2019, International Search Report and Written Opinion.
PCT/US2018/061409, dated Mar. 12, 2019, International Search Report and Written Opinion.
PCT/US2018/063215, dated Mar. 21, 2019, International Search Report and Written Opinion.
PCt/US2019/015134, dated May 15, 2019, International Search Report and Written Opinion.
PCT/US2019/015167, dated May 21, 2019, International Search Report and Written Opinion.
PCT/US2019/015174, dated May 21, 2019, International Search Report and Written Opinion.
PCT/US2019/015180, dated May 28, 2019, International Search Report and Written Opinion.
PCT/US2019/015183, dated May 3, 2019, International Search Report and Written Opinion.
PCT/US2019/015238, dated May 16, 2019, International Search Report and Written Opinion.
PCT/US2019/015244, dated May 16, 2019, International Search Report and Written Opinion.
PCT/US19/20065, dated May 16, 2019, International Search Report and Written Opinion.
PCT/US2019/028299, dated Aug. 9, 2019 International Search Report and Written Opinion.
PCT/US2019/031114, dated Aug. 6, 2019, Invitation to Pay Additional Fees.
PCT/US2019/034173, dated Sep. 18, 2019, International Search Report and Written Opinion.
PCT/US2019/037302, dated Oct. 11, 2019, International Search Report and Written Opinion.
PCT/US2019/049094, dated Oct. 24, 2019, Invitation to Pay Additional Fees.
International Preliminary Report on Patentability for International Application No. PCT/US2017/043686 dated Feb. 7, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2017/043686 dated Oct. 6, 2017.
International Preliminary Report on Patentability for International Application No. PCT/US2017/043693 dated Feb. 7, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2017/043693 dated Oct. 6, 2017.
International Preliminary Report on Patentability for International Application No. PCT/US2017/043791 dated Feb. 7, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2017/043791 dated Oct. 5, 2017.
International Preliminary Report on Patentability for International Application No. PCT/US2017/043792 dated Feb. 7, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2017/043792 dated Oct. 5, 2017.
International Search Report and Written Opinion for International Application No. PCT/US2018/056768 dated Jan. 15, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2018/061409 dated Mar. 12, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2018/063215 dated Mar. 21, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015134 dated May 15, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015167 dated May 21, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015174 dated May 21, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015238 dated May 16, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015183 dated May 3, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015180 dated May 28, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/015244 dated May 16, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/028299 dated Aug. 9, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/034173 dated Sep. 18, 2019.
Invitation to Pay Additional Fees for International Application No. PCT/US2019/031114 dated Aug. 6, 2019.
International Search Report and Written Opinion for International Application No. PCT/US19/20065 dated May 16, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/037302 dated Oct. 11, 2019.
Invitation to Pay Additional Fees for International Application No. PCT/US2019/049094 dated Oct. 24, 2019.
Arkenbout et al., Robust Hand Motion Tracking through Data Fusion of 5DT Data Glove and Nimble VR Kinect Camera Measurements. Sensors. 2015;15:31644-71.
Benko et al., Enhancing Input on and Above the Interactive Surface with Muscle Sensing. The ACM International Conference on Interactive Tabletops and Surfaces. ITS '09. 2009:93-100.
Boyali et al., Spectral Collaborative Representation based Classification for hand gestures recognition on electromyography signals. Biomedical Signal Processing and Control. 2016;24:11-18.
Cheng et al., A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors. Sensors. 2015;15:23303-24.
Csapo et al., Evaluation of Human-Myo Gesture Control Capabilities in Continuous Search and Select Operations. 7th IEEE International Conference on Cognitive Infocommunications. 2016;000415-20.
Davoodi et al., Development of a Physics-Based Target Shooting Game to Train Amputee Users of Multijoint Upper Limb Prostheses. Presence. Massachusetts Institute of Technology. 2012;21(1):85-95.
Delis et al., Development of a Myoelectric Controller Based on Knee Angle Estimation. Biodevices 2009. International Conference on Biomedical Electronics and Devices. Jan. 17, 2009. 7 pages.
Diener et al., Direct conversion from facial myoelectric signals to speech using Deep Neural Networks. 2015 International Joint Conference on Neural Networks (IJCNN). Oct. 1, 2015. 7 pages.
Ding et al., HMM with improved feature extraction-based feature parameters for identity recognition of gesture command operators by using a sensed Kinect-data stream. Neurocomputing. 2017;262:108-19.
Farina et al., Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation. Nature. Biomedical Engineering. 2017;1:1-12.
Favorskaya et al., Localization and Recognition of Dynamic Hand Gestures Based on Hierarchy of Manifold Classifiers. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015;XL-5/W6:1-8.
Gallina et al., Surface EMG Biofeedback. Surface Electromyography: Physiology, Engineering, and Applications. 2016:485-500.
Gopura et al., A Human Forearm and wrist motion assist exoskeleton robot with EMG-based fuzzy-neuro control. Proceedings of the 2nd IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. Oct. 19-22, 2008. 6 pages.
Hauschild et al., A Virtual Reality Environment for Designing and Fitting Neural Prosthetic Limbs. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2007;15(1):9-15.
Jiang, Purdue University Graduate School Thesis/Dissertation Acceptance. Graduate School Form 30. Updated Jan. 15, 2015. 24 pages.
Kawaguchi et al., Estimation of Finger Joint Angles Based on Electromechanical Sensing of Wrist Shape. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2017;25(9):1409-18.
Kim et al., Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier. Sensors. 2015;15:12410-27.
Koerner, Design and Characterization of the Exo-Skin Haptic Device: A Novel Tendon Actuated Textile Hand Exoskeleton. 2017. 5 pages.
Lee et al., Motion and Force Estimation System of Human Fingers. Journal of Institute of Control, Robotics and Systems. 2011;17(10):1014-1020.
Li et al., Motor Function Evaluation of Hemiplegic Upper-Extremities Using Data Fusion from Wearable Inertial and Surface EMG Sensors. Sensors. MDPI. 2017;17(582):1-17.
Lopes et al., Hand/arm gesture segmentation by motion using IMU and EMG sensing. ScienceDirect. Elsevier. Procedia Manufacturing. 2017;11:107-13.
Martin et al., A Novel Approach of Prosthetic Arm Control using Computer Vision, Biosignals, and Motion Capture. IEEE. 2014. 5 pages.
McIntee, A Task Model of Free-Space Movement-Based Gestures. Dissertation. Graduate Faculty of North Carolina State University. Computer Science. 2016. 129 pages.
Mendes et al., Sensor Fusion and Smart Sensor in Sports and Biomedical Applications. Sensors. 2016;16(1569):1-31.
Mohamed, Homogeneous cognitive based biometrics for static authentication. Dissertation submitted to University of Victoria, Canada. 2010. 149 pages. URL:http://hdl.handle.net/1828/3211 [last accessed Oct. 11, 2019].
Naik et al., Source Separation and Identification issues in bio signals: A solution using Blind source separation. Intech. 2009. 23 pages.
Naik et al., Subtle Hand gesture identification for HCI using Temporal Decorrelation Source Separation BSS of surface EMG. Digital Image Computing Techniques and Applications. IEEE Computer Society. 2007;30-7.
Negro et al., Multi-channel intramuscular and surface Emg decomposition by convolutive blind source separation. Journal of Neural Engineering. 2016;13:1-17.
Saponas et al., Demonstrating the Feasibility of Using Forearm Electromyography for Muscle-Computer Interfaces. CHI 2008 Proceedings. Physiological Sensing for Input. 2008:515-24.
Saponas et al., Enabling Always-Available Input with Muscle-Computer Interfaces. UIST '09. 2009:167-76.
Saponas et al., Making Muscle-Computer Interfaces More Practical. CHI 2010: Brauns and Brawn. 2010:851-4.
Sartori et al., Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies. IEEE Transactions on Biomedical Engineering. 2016;63(5):879-93.
Sauras-Perez et al., A Voice and Pointing Gesture Interaction System for Supporting Human Spontaneous Decisions in Autonomous Cars. Clemson University. All Dissertations. 2017. 174 pages.
Shen et al., I am a Smartwatch and I can Track my User's Arm. University of Illinois at Urbana-Champaign. MobiSys' 16. 12 pages.
Son et al., Evaluating the utility of two gestural discomfort evaluation methods. PLOS One. 2017. 21 pages.
Strbac et al., Microsoft Kinect-Based Artificial Perception System for Control of Functional Electrical Stimulation Assisted Grasping. Hindawi Publishing Corporation. BioMed Research International. 2014. 13 pages.
Torres, Myo Gesture Control Armband. PCMag. Https://www.pcmag.com/article2/0,2817,2485462,00.asp 2015. 9 pages.
Valero-Cuevas et al., Computational Models for Neuromuscular Function. Nih Public Access Author Manuscript. Jun. 16, 2011. 52 pages.
Wodzinski et al., Sequential Classification of Palm Gestures Based on A* Algorithm and MLP Neural Network for Quadrocopter Control. Metrol. Meas. Syst., 2017;24(2):265-76.
Xue et al., Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph. Applied Sciences. MDPI. 2017;7(358):1-14.
Yang et al., Surface EMG based handgrip force predictions using gene expression programming. Neurocomputing. 2016;207:568-579.
Extended European Search Report for European Application No. EP 17835111.0 dated Nov. 21, 2019.
Extended European Search Report for European Application No. EP 17835140.9 dated Nov. 26, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/042579 dated Oct. 31, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/052131 dated Dec. 6, 2019.
International Search Report and Written Opinion for International Application No. PCT/US2019/046351 dated Nov. 7, 2019.
Al-Mashhadany, Inverse Kinematics Problem (IKP) of 6-DOF Manipulator Bgy Locally Recurrent Neural Networks (LRNNs). Management and Service Science (MASS). 2010 International Conference ON, IEEE. Aug. 24, 2010. 5 pages. ISBN: 978-1-4244-5325-2.
Kipke et al., Silicon-substrate Intracortical Microelectrode Arrays for Long-Term Recording of Neuronal Spike Activity in Cerebral Cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2003;11(2):151-155.
Marcard et al., Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs. Eurographics. 2017;36(2). 12 pages.
Wittevrongel et al., Spatiotemporal Beamforming: A Transparent and Unified Decoding Approach to Synchronous Visual Brain-Computer Interfacing. Frontiers in Neuroscience. 2017;11:1-12.
Zacharaki et al., Spike pattern recognition by supervised classification in low dimensional embedding space. Informatics. 2016;3:73-8. DOI: 10.1007/s40708-016-0044-4.
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