Patent Grant
11737678
The present invention relates to a method and apparatus for monitoring biological parameters, and in particular to apparatus for making impedance measurements.
The reference in this specification to any prior publication (or information derived from it), or to any matter which is known, is not, and should not be taken as an acknowledgment or admission or any form of suggestion that the prior publication (or information derived from it) or known matter forms part of the common general knowledge in the field of endeavour to which this specification relates.
One existing technique for determining biological parameters relating to a subject, such as cardiac function, involves the use of bioelectrical impedance. This involves measuring the electrical impedance of a subject's body using a series of electrodes placed on the skin surface. Changes in electrical impedance at the body's surface are used to determine parameters, such as changes in fluid levels, associated with the cardiac cycle or oedema.
Accordingly, complex signal processing is required to ensure measurements can be interpreted.
Typically devices for achieving this utilise custom hardware configurations that are application specific. As a result, the devices can typically only be used in a limited range of circumstances.
In a first broad form the present invention provides apparatus for performing impedance measurements on a subject, the apparatus including:
Typically the method includes, transferring the instructions from the first processing system to the second processing system.
Typically the method includes, selecting the instructions using configuration data.
Typically the method includes, receiving the configuration data from a remote processing system.
Typically the instructions are in the form of at least one of:
Typically the second processing system is an FPGA.
Typically the apparatus includes an input device, and wherein the first processing system is coupled to the input device to thereby determine the impedance measurement procedure in accordance with input commands from an operator.
Typically the first processing system includes a store for storing at least one profile, the at least one profile representing a predetermined impedance measurement procedure.
Typically the control signals represent a sequence of predetermined electrical signals, the sequence being dependent on the selected impedance measurement type.
Typically the apparatus includes:
Typically the apparatus includes at least one buffer circuit for:
Typically the apparatus includes a current source circuit for:
Typically the apparatus includes a control signal DAC for:
Typically the second processing system is formed from first and second processing system portions, the first and second processing system portions being electrically isolated to thereby electrically isolate the subject from the first processing system.
Typically the apparatus includes:
Typically the apparatus includes at least two current electrodes for applying current signals to the subject, and a switch connected to the current electrodes for discharging the subject prior to measuring the induced voltage.
Typically the apparatus includes a housing having:
Typically the housing is formed from at least one of a mu-metal and aluminium with added magnesium, to thereby provide electrical/magnetic shielding.
Typically the apparatus includes multiple channels, each channel being for performing impedance measurements using a respective set of electrodes.
Typically the apparatus is for:
Typically the apparatus is for:
Typically the apparatus is for:
Typically the apparatus is for:
In a second broad form the present invention provides a method of performing impedance measurements on a subject, the method including:
In a third broad form the present invention provides a method of diagnosing conditions in a subject, the method including, in a processing system:
In a fourth broad form the present invention provides apparatus for connecting measurement apparatus to an electrode, the apparatus including:
Typically the circuit is provided on a circuit board having an electrical contact, and wherein in use the connector urges at least part of the electrode into abutment with the electrical contact.
Typically the connector includes a biased arm.
Typically the circuit includes a buffer circuit for:
Typically the circuit includes a current source circuit for:
Typically the apparatus further comprises an electrode, the electrode including:
Typically the electrode substrate is electrically conductive, and wherein in use the connector couples the circuit to the electrode substrate.
Typically the housing includes curved edges.
Typically the housing is formed from a material that, at least one of:
In a fifth broad form the present invention provides a method of performing impedance measurements on a subject, the method including, in a processing system:
Typically the encoded value is used for calibration.
Typically the encoded value is determined from a resistance value.
Typically the encoded value is indicative of an identity of the lead.
Typically the method includes, in the processing system, controlling the current applied to the subject using the determined resistance.
Typically the encoded value is a lead identifier, and wherein the method includes, in the processing system:
Typically the method includes, in the processing system:
Typically the method includes, in the processing system:
Typically the method includes, in the processing system, at least one of:
Typically the encoded value is stored in a store.
In a sixth broad form the present invention provides apparatus for performing impedance measurements on a subject, the apparatus including:
In a seventh broad form the present invention provides a method of performing impedance measurements on a subject, the method including, in a processing system:
Typically the impedance measurement is performed using at least four electrodes, each having a respective identifier, and wherein the method includes, in the processing system:
Typically the method includes, in the processing system:
Typically the method includes, in the processing system, determining the electrode identifier for an electrode by selectively measuring the conductivity between one or more contacts provided on the electrode.
Typically the processing system is coupled to a signal generator and a sensor, and wherein the method includes, in the processing system:
Typically the method includes, in the processing system controlling a multiplexer to thereby selectively interconnect the leads and at least one of the signal generator and the sensor.
Typically the at least one electrode includes visual indicia indicative of the position of the at least one electrode on the subject.
In an eighth broad form the present invention provides apparatus for performing impedance measurements on a subject, the apparatus including a processing system for:
In a ninth broad form the present invention provides a method for configuring a measuring device for measuring the impedance of a subject, the method including, in a processing system:
Typically the configuration data includes the instructions.
Typically the method includes, in the processing system:
Typically the method includes, in the processing system, decrypting the received configuration data.
Typically the method includes, in the processing system:
Typically the processing system includes first and second processing systems, and wherein the method includes:
Typically the method includes, in the processing first system, at least one of:
Typically the method includes, in the processing system, receiving the configuration data from at least one of a computer system and a communications network.
Typically the method includes, in the processing system:
Typically the method includes, in the processing system:
In a tenth broad form the present invention provides apparatus for configuring a measuring device for measuring the impedance of a subject, the apparatus including a processing system for:
In an eleventh broad form the present invention provides a method for configuring a measuring device for measuring the impedance of a subject, the method including, in a computer system:
Typically the method includes, in the computer system:
Typically the method includes, in the computer system, determining the configuration data is required in response to at least one of:
Typically the method includes, in the computer system:
In a twelfth broad form the present invention provides apparatus for configuring a measuring device for measuring the impedance of a subject, the method including, in a computer system:
In a thirteenth broad form the present invention provides a method of performing impedance measurements on a subject, wherein the method includes, in a processing system:
Typically the method includes, in the processing system:
Typically the threshold is indicative of at least one of:
Typically the method includes, in the processing system:
Typically the threshold is indicative of a maximum first signal magnitude.
In a fourteenth broad form the present invention provides apparatus for performing impedance measurements on a subject, wherein the apparatus includes a processing system for:
Typically the apparatus further includes a variable magnitude current supply.
In another broad form the present invention provides a method of providing an electrode for use in impedance measurement procedures, the method including:
Typically the electrically conductive medium is formed from a conductive gel.
Typically the conductive gel is silver/silver chloride gel.
Typically the method includes, providing a covering layer on the insulating layer to thereby cover the electrically conductive medium.
Typically the insulating layer has an adhesive surface that releasably engages the covering layer.
Typically the substrate is an elongate substrate, and wherein the method includes aligning the pad contacts along the length of the substrate.
Typically the method includes providing the tracks and contact pads using at least one of:
Typically the tracks and contact pads are formed from silver.
Typically the method includes forming the substrate by:
In a fifteenth broad form the present invention provides an electrode for use in impedance measurement procedures, the electrode including:
In a sixteenth broad form the present invention provides a method for use in diagnosing conditions in a subject, the method including, in a processing system:
In a seventeenth broad form the present invention provides a method for use in diagnosing conditions in a subject, the method including, in a processing system:
In an eighteenth broad form the present invention provides a method for use in diagnosing conditions in a subject, the method including, in a processing system:
In a nineteenth broad form the present invention provides a method for use in diagnosing conditions in a subject, the method including, in a processing system:
In a twentieth broad form the present invention provides a method for use in diagnosing conditions in a subject, the method including, in a processing system:
It will be appreciated that the broad forms of the invention may be used individual or in combination, and may be used for diagnosis of the presence, absence or degree of a range of conditions and illnesses, including, but not limited to oedema, pulmonary oedema, lymphodema, body composition, cardiac function, and the like.
An example of the present invention will now be described with reference to the accompanying drawings, in which:
An example of apparatus suitable for performing an analysis of a subject's bioelectric impedance will now be described with reference to
As shown the apparatus includes a measuring device 1 including a processing system 2 coupled to a signal generator 11 and a sensor 12. In use the signal generator 11 and the sensor 12 are coupled to respective electrodes 13, 14, 15, 16, provided on a subject S, via leads L, as shown. An optional external interface 23 can be used to couple the measuring device 1 to one or more peripheral devices 4, such as an external database or computer system, barcode scanner, or the like.
In use, the processing system 2 is adapted to generate control signals, which causes the signal generator 11 to generate one or more alternating signals, such as voltage or current signals, which can be applied to a subject S, via the electrodes 13, 14. The sensor 12 then determines the voltage across or current through the subject S, using the electrodes 15, 16 and transfers appropriate signals to the processing system 2.
Accordingly, it will be appreciated that the processing system 2 may be any form of processing system which is suitable for generating appropriate control signals and interpreting an indication of the measured signals to thereby determine the subject's bioelectrical impedance, and optionally determine other information such as the cardiac parameters, presence absence or degree of oedema, or the like.
The processing system 2 may therefore be a suitably programmed computer system, such as a laptop, desktop, PDA, smart phone or the like. Alternatively the processing system 2 may be formed from specialised hardware. Similarly, the I/O device may be of any suitable form such as a touch screen, a keypad and display, or the like.
It will be appreciated that the processing system 2, the signal generator 11 and the sensor 12 may be integrated into a common housing and therefore form an integrated device. Alternatively, the processing system 2 may be connected to the signal generator 11 and the sensor 12 via wired or wireless connections. This allows the processing system 2 to be provided remotely to the signal generator 11 and the sensor 12. Thus, the signal generator 11 and the sensor 12 may be provided in a unit near, or worn by the subject S, whilst the processing system 2 is situated remotely to the subject S.
In one example, the outer pair of electrodes 13, 14 are placed on the thoracic and neck region of the subject S. However, this depends on the nature of the analysis being performed. Thus, for example, whilst this electrode arrangement is suitable for cardiac function analysis, in lymphoedema, the electrodes would typically be positioned on the limbs, as required.
Once the electrodes are positioned, an alternating signal is applied to the subject S. This may be performed either by applying an alternating signal at a plurality of frequencies simultaneously, or by applying a number of alternating signals at different frequencies sequentially. The frequency range of the applied signals may also depend on the analysis being performed.
In one example, the applied signal is a frequency rich current from a current source clamped, or otherwise limited, so it does not exceed the maximum allowable subject auxiliary current. However, alternatively, voltage signals may be applied, with a current induced in the subject being measured. The signal can either be constant current, impulse function or a constant voltage signal where the current is measured so it does not exceed the maximum allowable subject auxiliary current.
A potential difference and/or current are measured between an inner pair of electrodes 15, 16. The acquired signal and the measured signal will be a superposition of potentials generated by the human body, such as the ECG, and potentials generated by the applied current.
Optionally the distance between the inner pair of electrodes may be measured and recorded. Similarly, other parameters relating to the subject may be recorded, such as the height, weight, age, sex, health status, any interventions and the date and time on which they occurred. Other information, such as current medication, may also be recorded.
To assist accurate measurement of the impedance, buffer circuits may be placed in connectors that are used to connect the voltage sensing electrodes 15, 16 to the leads L. This ensures accurate sensing of the voltage response of the subject S, and in particular helps eliminate contributions to the measured voltage due to the response of the leads L, and reduce signal loss.
This in turn greatly reduces artefacts caused by movement of the leads L, which is particularly important during dialysis as sessions usually last for several hours and the subject will move around and change positions during this time.
A further option is for the voltage to be measured differentially, meaning that the sensor used to measure the potential at each electrode 15, 16 only needs to measure half of the potential as compared to a single ended system.
The current measurement system may also have buffers placed in the connectors between the electrodes 13, 14 and the leads L. In one example, current can also be driven or sourced through the subject S symmetrically, which again greatly reduced the parasitic capacitances by halving the common-mode current. Another particular advantage of using a symmetrical system is that the micro-electronics built into the connectors for each electrode 13, 14 also removes parasitic capacitances that arise when the subject S, and hence the leads L move.
The acquired signal is demodulated to obtain the impedance of the system at the applied frequencies. One suitable method for demodulation of superposed frequencies is to use a Fast Fourier Transform (FFT) algorithm to transform the time domain data to the frequency domain. This is typically used when the applied current signal is a superposition of applied frequencies. Another technique not requiring windowing of the measured signal is a sliding window FFT.
In the event that the applied current signals are formed from a sweep of different frequencies, then it is more typical to use a processing technique such as multiplying the measured signal with a reference sine wave and cosine wave derived from the signal generator, or with measured sine and cosine waves, and integrating over a whole number of cycles. This process rejects any harmonic responses and significantly reduces random noise.
Other suitable digital and analog demodulation techniques will be known to persons skilled in the field.
Impedance or admittance measurements are determined from the signals at each frequency by comparing the recorded voltage and current signal. The demodulation algorithm will produce an amplitude and phase signal at each frequency.
An example of the operation of the apparatus for performing impedance analysis will now be described with reference to
At step 100, the processing system 2 operates to generate control signals which are provided to the signal generator 11 at step 110, thereby causing the signal generator to apply an alternating current signal to the subject S, at step 120. Typically the signal is applied at each of a number of frequencies fi to allow multiple frequency analysis to be performed.
At step 130 the sensor 12 senses voltage signals across the subject S. At step 140 the measuring device, operates to digitise and sample the voltage and current signals across the subject S, allowing these to be used to determine instantaneous impedance values for the subject S at step 150.
A specific example of the apparatus will now be described in more detail with respect to
In this example, the processing system 2 includes a first processing system 10 having a processor 20, a memory 21, an input/output (I/O) device 22, and an external interface 23, coupled together via a bus 24. The processing system 2 also includes a second processing system 17, in the form of a processing module. A controller 19, such as a micrologic controller, may also be provided to control activation of the first and second processing systems 10, 17.
In use, the first processing system 10 controls the operation of the second processing system 17 to allow different impedance measurement procedures to be implemented, whilst the second processing system 17 performs specific processing tasks, to thereby reduce processing requirements on the first processing system 10.
Thus, the generation of the control signals, as well as the processing to determine instantaneous impedance values is performed by the second processing system 17, which may therefore be formed from custom hardware, or the like. In one particular example, the second processing system 17 is formed from a Field Programmable Gate Array (FPGA), although any suitable processing module, such as a magnetologic module, may be used.
The operation of the first and second processing systems 10, 17, and the controller 19 is typically controlled using one or more sets of appropriate instructions. These could be in any suitable form, and may therefore include, software, firmware, embedded systems, or the like.
The controller 19 typically operates to detect activation of the measuring device through the use of an on/off switch (not shown). Once the controller detects device activation, the controller 19 executes predefined instructions, which in turn causes activation of the first and second processing systems 10, 17, including controlling the supply of power to the processing systems as required.
The first processing system 10 can then operate to control the instructions, such as the firmware, implemented by the second processing system 17, which in turn alters the operation of the second processing system 17. Additionally, the first processing system 10 can operate to analyse impedance determined by the second processing system 17, to allow biological parameters to be determined. Accordingly, the first processing system 10 may be formed from custom hardware or the like, executing appropriate applications software to allow the processes described in more detail below to be implemented.
It will be appreciated that this division of processing between the first processing system 10, and the second processing system 17, is not essential, but there are a number of benefits that will become apparent from the remaining description.
In this example, the second processing system 17 includes a PCI bridge 31 coupled to programmable module 36 and a bus 35, as shown. The bus 35 is in turn coupled to processing modules 32, 33, 34, which interface with ADCs (Analogue to Digital Converters) 37, 38, and a DAC (Digital to Analogue Converter) 39, respectively.
The programmable module 36 is formed from programmable hardware, the operation of which is controlled using the instructions, which are typically downloaded from the first processing system 10. The firmware that specifies the configuration of hardware 36 may reside in flash memory (not shown), in the memory 21, or may be downloaded from an external source via the external interface 23.
Alternatively, the instructions may be stored within inbuilt memory on the second processing system 17. In this example, the first processing system 10 typically selects firmware for implementation, before causing this to be implemented by the second processing system 17. This may be achieved to allow selective activation of functions encoded within the firmware, and can be performed for example using configuration data, such as a configuration file, or instructions representing applications software or firmware, or the like, as will be described in more detail below.
In either case, this allows the first processing system 10 to be used to control operation of the second processing system 17 to allow predetermined current sequences to be applied to the subject S. Thus, for example, different firmware would be utilised if the current signal is to be used to analyse the impedance at a number of frequencies simultaneously, for example, by using a current signal formed from a number of superposed frequencies, as compared to the use of current signals applied at different frequencies sequentially.
An example of a specific form of signal generator 11 in the form of a current source circuit, is shown in
As shown the current source includes three fixed or variable gain differential amplifiers A1, A2, A3 and three op-amps A4, A5, A6, a number of resistors R1, . . . R17 and capacitors C1, . . . C4, interconnected as shown. The current source also includes leads 41, 42 (corresponding to the leads L in
Connections 45, 46 can also be provided for allowing the current applied to the subject S to be determined. Typically this is achieved using the connection 46. However, the connection 45 may also be used as shown in dotted lines to allow signal losses within the leads and other circuitry to be taken into account.
In general the leads used are co-axial cables with a non-braided shield and a multi strand core with a polystyrene dielectric. This provides good conductive and noise properties as well as being sufficiently flexible to avoid issues with connections from the measuring device 1 to the subject S. In this instance, resistors R12, R13 decouple the outputs of the amplifiers A5, A6 from the capacitances associated with cable.
In use, the current source circuit receives current control signals I+, I− from the DAC 39, with these signals being filtered and amplified, to thereby form current signals that can be applied to the subject S via the electrodes 13, 14.
In use, when the amplifiers A1, . . . A6 are initially activated, this can lead to a minor, and within safety limits, transient current surge. As the current is applied to the subject, this can result in the generation of a residual field across the subject S. To avoid this field effecting the readings, the switch SW is generally activated prior to measurements being taken, to short the current circuit, and thereby discharge any residual field.
Once the measurement is commenced, an indication of the current applied to the subject can be obtained via either one of the connections 45, 46, that are connected to the ADC 38, as shown by the dotted lines.
This allows the current supplied across the subject to be accurately determined. In particular, by using the actual applied current, as opposed to estimating the current applied on the basis of the control signals I+, I−, this takes into account non-ideal behaviour of the components in the current source, and can also take into account the effects of the leads 41, 42, on the applied current.
In one example, the amplifier A3 and associated components may be provided on a housing coupled to the electrodes 12, 13, allowing more accurate sensing of the current applied to the subject. In particular, this avoids measuring of cable effects, such as signal loss in the leads L.
The above is an example of a non-symmetric current source and it will be appreciated that symmetric current sources may alternatively be used.
An example of the buffer used for the voltage electrodes is shown in
In this example, each buffer 50A, 50B includes amplifiers A10, A11, and a number of resistors R2, . . . , R26, interconnected as shown. In use, each buffer 50A, 50B, is connected a respective electrode 15, 16 via connections 51, 52. The buffers 50A, 50B are also connected via leads 53, 54 to a differential amplifier 55, acting as the signal sensor 12, which is in turn coupled to the ADC 37. It will therefore be appreciated that a respective buffer circuit 50A, 50B is connected to each of the electrodes 15, 16, and then to a differential amplifier, allowing the potential difference across the subject to be determined.
In one example, the leads 53, 54 correspond to the leads L shown in
In use, the amplifier A10 amplifies the detected signals and drives the core of the cable 53, whilst the amplifier A11 amplifies the detected signal and drives the shield of the cables 51, 53. Resistors R26 and R25 decouple the amplifier outputs from the capacitances associated with cable, although the need for these depends on the amplifier selected.
Again, this allows multi-core shielded cables to be used to establish the connections to the voltage electrodes 15, 16.
An example of operation of the apparatus will now be described with reference to
At step 200 an operator selects an impedance measurement type using the first processing system 10. This may be achieved in a number of ways and will typically involve having the first processing system 10 store a number of different profiles, each of which corresponds to a respective impedance measurement protocol.
Thus, for example, when performing cardiac function determination, it will be typical to use a different applied current sequence and a different impedance analysis, as compared to performing lymphoedema measurements, body composition, pulmonary oedema, or the like. The profile will typically be stored in the memory 21, or alternatively may be downloaded from flash memory (not shown), or via the external interface 23.
Once an appropriate measurement type has been selected by the operator, this will cause the first processing system 10 to load desired code module firmware into the programmable module 36 of the second processing system 17 at step 210, or cause embedded firmware to be activated. The type of code module used will depend on the preferred implementation, and in one example this is formed from a wishbone code module, although this is not essential.
At step 220, the second processing system 17 is used to generate a sequence of digital control signals, which are transferred to the DAC 39 at step 230. This is typically achieved using the processing module 34, by having the module generate a predetermined sequence of signals based on the selected impedance measurement profile. This can therefore be achieved by having the second processing system 17 program the processing module 34 to cause the module to generate the required signals.
The DAC 39 converts the digital control signals into analogue control signals I+, I− which are then applied to the current source 11 at step 240.
As described above, the current source circuit shown in
During this process, and as mentioned above, the current circuit through the subject can optionally be shorted at step 270, using the switch SW, to thereby discharge any residual field in the subject S, prior to readings being made.
At step 280, the measurement procedure commences, with the voltage across the subject being sensed from the electrodes 15, 16. In this regard, the voltage across the electrodes is filtered and amplified using the buffer circuit shown in
The digitised voltage and current signals V, I are received by the processing modules 32, 33 at step 330, with these being used to performed preliminary processing of the signals at step 340.
The processing performed will again depend on the impedance measurement profile, and the consequent configuration of the processing modules 32, 33. This can include for example, processing the voltage signals V to extract ECG signals. The signals will also typically be filtered to ensure that only signals at the applied frequencies fi, are used in impedance determination. This helps reduce the effects of noise, as well as reducing the amount of processing required.
At step 350 the second processing system 17 uses the processing signals to determine voltage and current signals at each applied frequency fi, with these being used at step 360 to determine instantaneous impedance values at each applied frequency fi.
The ADCs 37, 38 and the processing modules 32, 33 are typically adapted to perform sampling and processing of the voltage and current signals V, I in parallel so that the voltage induced at the corresponding applied current are analysed simultaneously. This reduces processing requirements by avoiding the need to determine which voltage signals were measured at which applied frequency. This is achieved by having the processing modules 32, 33 sample the digitised signals received from the ADCs 37, 38, using a common clock signal generated by the processing module 36, which thereby ensures synchronisation of the signal sampling.
Once the instantaneous impedance values have been derived, these can undergo further processing in either the first processing system 10, or the second processing system 17, at step 370. The processing of the instantaneous impedance signals will be performed in a number of different manners depending on the type of analysis to be used and this in turn will depend on the selection made by the operator at step 200.
Accordingly, it will be appreciated by persons skilled in the art that a range of different current sequences can be applied to the subject by making an appropriate measurement type selection. Once this has been performed, the FPGA operates to generate a sequence of appropriate control signals I+, I−, which are applied to the subject S using the current supply circuit shown in
Using the second processing system 17 allows the majority of processing to be performed using custom configured hardware. This has a number of benefits.
Firstly, the use of an second processing system 17 allows the custom hardware configuration to be adapted through the use of appropriate firmware. This in turn allows a single measuring device to be used to perform a range of different types of analysis.
Secondly, this vastly reduces the processing requirements on the first processing system 10. This in turn allows the first processing system 10 to be implemented using relatively straightforward hardware, whilst still allowing the measuring device to perform sufficient analysis to provide interpretation of the impedance. This can include for example generating a “Wessel” plot, using the impedance values to determine parameters relating to cardiac function, as well as determining the presence or absence of lymphoedema.
Thirdly, this allows the measuring device 1 to be updated. Thus for example, if an improved analysis algorithms is created, or an improved current sequence determined for a specific impedance measurement type, the measuring device can be updated by downloading new firmware via flash memory (not shown) or the external interface 23.
It will be appreciated that in the above examples, the processing is performed partially by the second processing system 17, and partially by the first processing system 10. However, it is also possible for processing to be performed by a single element, such as an FPGA, or a more generalised processing system.
As the FPGA is a custom processing system, it tends to be more efficient in operation than a more generic processing system. As a result, if an FPGA alone is used, it is generally possible to use a reduced overall amount of processing, allowing for a reduction in power consumption and size. However, the degree of flexibility, and in particular, the range of processing and analysis of the impedance which can be performed is limited.
Conversely, if only a generic processing system is used, the flexibility is enhanced at the expensive of a decrease in efficiency, and a consequent increase in size and power consumption.
Accordingly, the above described example strikes a balance, providing custom processing in the form of an FPGA to perform partial processing. This can allow for example, the impedance values to be determined. Subsequent analysis, which generally requires a greater degree of flexibility can then be implemented with the generic processing system.
A further disadvantage of utilising an FPGA alone is that it complicates the process of updating the processing, for example, if improved processing algorithms are implemented.
Electrode Connections
An example of an electrode connection apparatus is shown in
In particular, in this example, the connector includes circuitry provided on a substrate such as a PCB (Printed Circuit Board) 61, which is in turn mounted in a housing 60 as shown. The housing 60 includes an arm 62 which is urged toward a contact 63 provided on the substrate 61. The substrate 61 is then coupled to a respective one of the ADCs 37, 38 or the DAC 39, via appropriate leads shown generally at L, such as the leads 41, 42, 53, 54.
In use, the connector couples to a conductive electrode substrate 65, such as a plastic coated in silver, and which in turn has a conductive gel 64, such as silver/silver chloride gel thereon. The arm 62 urges the conductive electrode substrate 65 against the contact 63, thereby electrically coupling the conductive gel 64 to the circuit provided on the substrate 61.
This ensures good electrical contact between the measuring device 1 and the subject S, as well as reducing the need for leads between the electrodes 13, 14 and the input of the voltage buffers, removing the requirement for additional leads, which represents an expense, as well as a source of noise within the apparatus.
In this example, the edges and corners of the housing 60, the arm 62 and the substrate 65 are curved. This is to reduce the chance of a subject being injured when the connector is attached to the electrode. This is of particular importance when using the electrodes on lymphodema suffers, when even a small nip of the skin can cause severe complications.
To further enhance the usability of the housing, the housing may be formed from a material that has a low coefficient of friction and/or is spongy or resilient. Again, these properties help reduce the likelihood of the subject being injured when the housing is coupled to the electrode.
Electrical Isolation
A further development of the apparatus will now be described with reference to
In this example, the second processing system 17 is formed from two respective FPGA portions 17A, 17B. The two FPGA portions 17A, 17B are interconnected via an electrically isolated connection shown generally by the dotted line 17C. The electrically isolated connection could be achieved for example using an inductive loop connections, wireless links or the like.
This split in the FPGA can be used to ensure that the measuring device 1 is electrically isolated from the subject S. This is important for example when taking readings with a high degree of accuracy.
In this example, the second processing system 17 will typically be implemented such that the operation of the second FPGA portion 17B is substantially identical for all measurement types. As a result, there is no requirement to upload firmware into the second FPGA portion 17B to allow different types of impedance analysis.
In contrast to this, the first FPGA portion 17A will typically implement firmware depending on the impedance measurement type in a manner substantially as described above.
It will therefore be appreciated that this provides a mechanism by which the measuring device 1 is electrically isolated from the subject, whilst still allowing the benefits of use of the second processing system 17 to be achieved.
Alternatively, equivalent electrical isolation can be obtained by providing a single FPGA electrically isolated from the first processing system 10.
In this example, the second FPGA portion 17B can be provided into a subject unit, shown generally at 2, which includes the lead connections.
This allows a single measuring device 1 to communicate with a number of different subject units, each of which is associated with a respective subject S. This allows the measuring device 1 to provide centralised monitoring of a number of different subjects via way of a number of subject units 2. This in turn allows a number of subjects to be analysed in sequence without having to reconnect each subject S each time an analysis is to be performed.
Lead Calibration
To assist in interpreting the impedance measurements, it is useful to take into account electrical properties of the connecting leads and associated circuitry.
To achieve this, the leads and corresponding connections can be encoded with calibration information. This can include, for example, using specific values for respective ones of the resistors in the current source, or buffer circuits shown in
In this instance, when the leads are connected to the measuring device 1, via the corresponding ADCs 37, 38, the processing modules 32, 33 can be to interrogate the circuitry using appropriate polling signals to thereby determine the value of corresponding resistor. Once this value has been determined, the second processing system 17 can use this to modify the algorithm used for processing the voltage and current signals to thereby ensure correct impedance values are determined.
In addition to this, the resistance value can also act as a lead identifier, to allow the measuring device to identify the leads and ensure that only genuine authorised leads are utilised. Thus, for example, if the determined resistance value does not correspond to a predetermined value this can be used to indicate that non-genuine leads are being used. In this instance, as the lead quality can have an effect on the accuracy of the resultant impedance analysis, it may desirable to either generate an error message or warning indicating that incorrect leads are in use. Alternatively, the second processing system 17 can be adapted to halt processing of the measured current and voltage signals. This allows the system to ensure that only genuine leads are utilised.
This can further be enhanced by the utilisation of a unique identifier associated with each lead connection circuit. In this instance, a unique identifier can be encoded within an IC provided as part of the current source or voltage buffer circuits. In this instance, the measuring device 1 interrogates the unique identifier and compared to unique identifiers stored either in local memory, or in a central database, allowing genuine leads to be identified.
This process can also be used to monitor the number of times a lead has been used. In this instance, each time a lead is used, data reflecting lead usage is recorded. This allows the leads to have a predesignated use quota life span, and once the number of times the lead is used reaches the quota, further measurements using the leads can be prevented. Similarly, a temporal limitation can be applied by providing an expiry date associated with the lead. This can be based on the date the lead is created, or first used depending on the preferred implementation.
It will be appreciated that when recording lead usage, issues may arise if this is recorded locally. In particular, this could allow a lead to be re-used with a different measuring device. To avoid this, the leads can be configured with a ID which is set by the measuring device on first use. This can be used to limit usage of the leads to a single measuring device.
This can be used to ensure that the leads are correctly replaced in accordance with a predetermined lifespan thereby helping to ensure accuracy of measure impedance values.
Multiple Channel
A further variation to the apparatus is shown in
In this example, the apparatus is adapted to provide multiple channel functionality allowing different body segments to undergo impedance analysis substantially simultaneously. In this instance, this is achieved by providing first and second processing modules 32A, 32B, 33A, 33B, 34A, 34B, first and second ADCs and DACs 37A, 37B, 38A, 38B, 39A, 39B as well as first and second voltage and current circuits 11A, 11B, 12A, 12B, in parallel, as shown.
Thus, the measuring device 1 includes two separate impedance measuring channels indicated by the use of reference numerals A, B. In this instance, this allows electrodes to be attached to body segments, such as different limbs, with measurements being taken from each segment substantially simultaneously.
As an alternative to the above described arrangement, multiple channels could alternatively be implemented by utilising two separate second processing modules 17, each one being associated with a respective channel. Alternatively, the signals applied to each channel could be applied via multiplexers positioned between the ADCs 37, 38 and the DAC 39 and the electrodes.
It will be appreciated that whilst two channels are shown in the above example, this is for clarity only, and any number of channels may be provided.
Switching Arrangement
In this example, a single set of leads and connections is shown. This arrangement can be used in a number of ways. For example, by identifying the electrodes 13, 14, 15, 16 to which the measuring device 1 is connected, this can be used to control to which of the leads L signals are applied, and via which leads signals can be measured. This can be achieved either by having the user provide an appropriate indication via the input device 22, or by having the measuring device 1 automatically detect electrode identifiers, as will be described in more detail below.
Alternatively, however the arrangement may be used with multiple leads and electrodes to provide multi-channel functionality as described above.
Electrode Configuration
An example of an alternative electrode configuration will now be described with reference to
In this example, the electrode connector is formed from a housing 1100 having two arms 1101, 1102 arranged to engage with an electrode substrate 1105 to thereby couple the housing 1100 to the substrate 1105. A contact 1103 mounted on an underside of the arm 1102, is urged into contact and/or engagement with an electrode contact 1104 mounted on a surface of the electrode substrate 1105. The electrode also includes a conductive gel 1106, such as a silver/silver chloride gel, electrically connected to the contact 1104. This can be achieved, either by using a conductive track, such as a silver track, or by using a conductive substrate such as plastic coated in silver.
This allows the lead L to be electrically connected to the conductive gel 1106, allowing current to be applied to and/or a voltage measured from the subject S to which they are attached. It will be appreciated that in this example the above described housing 1100 may also contain the buffer circuit 50, or all or part of the current source circuit shown in
Alternatively more complex interconnections may be provided to allow the measuring device 1 to identify specific electrodes, or electrode types.
This can be used by the measuring device 1 to control the measurement procedure. For example, detection of an electrode type by the processing system 2 may be used to control the measurements and calculation of different impedance parameters, for example to determine indicators for use in detecting oedema, monitoring cardiac function, or the like.
Similarly, electrodes can be provided with visual markings indicative of the position on the subject to which the electrode should be attached. For example a picture of a left hand can be shown if the electrode pad is to be attached to a subject's left hand. In this instance, identification of the electrodes can be used to allow the measuring device 1 to determine where on the subject the electrode is attached and hence control the application and measurement of signals accordingly.
An example of this will now be described with reference to
In this example the electrode contact 1104 on the electrode substrate 1105 typically includes an electrode contact substrate 1130, including electrode connector elements 1131, 1132, 1133, 1134, typically formed from silver contact pads or the like. The electrode connector elements 1131, . . . 1134 are positioned so that, in use, when the electrode connector 1100 is attached to an electrode, the connector elements 1121 . . . 1124 contact the electrode connector elements 1131, . . . 1134 to allow transfer of electrical signals with the measuring device 1.
In the examples, of
Additionally, selective ones of the connector elements 1132, 1133, 1134 are also interconnected in four different arrangements by respective connectors 1136A, 1136B, 1136C, 1136D. This allows the measuring device 1 to detect which of the electrode contacts 1122, 1123, 1124 are interconnected, by virtue of the connectors, 1136A, 1136B, 1136C, 1136D, with the four different combinations allowing the four different electrodes to be identified.
Accordingly, the arrangement of
In use, the measuring device 1 operates by having the second processing system 17 cause signals to be applied to appropriate wires within each of the leads L, allowing the conductivity between the connecting elements 1122, 1123, 1124, to be measured. This information is then used by the second processing system 17 to determine which leads L are connected to which of the electrodes 13, 14, 15, 16. This allows the first processing system 10 or the second processing system 17 to control the multiplexer 18 in the example of
In this example, the individual applying the electrode pads to the subject can simply position the electrodes 13, 14, 15, 16 on the subject in the position indicated by visual markings provided thereon. Leads may then be connected to each of the electrodes allowing the measuring device 1 to automatically determine to which electrode 13, 14, 15, 16 each lead L connected and then apply current signals and measure voltage signals appropriately. This avoids the complexity of ensuring the correct electrode pads are connected via the correct leads L.
It will be appreciated that the above described process allows electrode identification simply by applying currents to the electrode connector. However, other suitable identification techniques can be used, such as through the use of optical encoding. This could be achieved for example, by providing a visual marker, or a number of suitably arranged physical markers on the electrode connector 1104, or electrode substrate 1105. These could then be detected using an optical sensor mounted on the connector 1100, as will be appreciated by persons skilled in the art.
Alternatively, the identifier for the electrodes may be identified by an encoded value, represented by, for example, the value of a component in the electrode, such as a resistor or capacitor. It will therefore be appreciated that this can be achieved in a manner similar to that described above with respect to lead calibration.
An example of an alternative electrode configuration will now be described with reference to
A number of electrically conductive tracks 1220 are provided on the substrate extending from an end of the substrate 1211 to respective conductive contact pads 1230, spaced apart along the length of the substrate in sequence. This allows a connector similar to the connectors described above, but with corresponding connections, to be electrically coupled to the tracks 1220.
The tracks 1220 and the contact pads 1230 may be provided on the substrate 1210 in any one of a number of manners, including for example, screen printing, inkjet printing, vapour deposition, or the like, and are typically formed from silver or another similar material. It will be appreciated however that the tracks and contact pads should be formed from similar materials to prevent signal drift.
Following the application of the contact pads 1230 and the tracks 1220, an insulating layer 1240 is provided having a number of apertures 1250 aligned with the electrode contact pads 1230. The insulating layer is typically formed from a plastic polymer coated with shielding material and an overlaying insulating material.
To ensure adequate conduction between the contact pads 1230, and the subject S, it is typical to apply a conductive gel 1260 to the contact pads 1230. It will be appreciated that in this instance gel can be provided into each of the apertures 1250 as shown.
A removable covering 1270 is then applied to the electrode, to maintain the electrode's sterility and/or moisture level in the gel. This may be in the form of a peel off strip or the like which when removed exposes the conductive gel 1260, allowing the electrode to be attached to the subject S.
In order to ensure signal quality, it is typical for each of the tracks 1220 to comprise a shield track 1221, and a signal track 1222, as shown. This allows the shield on the leads L, such as the leads 41, 42, 51 to be connected to the shield track 1221, with the lead core being coupled to the signal track 1222. This allows shielding to be provided on the electrode, to help reduce interference between applied and measured signals.
This provides a fast straight-forward and cheap method of producing band electrodes. It will be appreciated that similar screen printing techniques may be utilised in the electrode arrangements shown in
The band electrode may be utilised together with a magnetic connector as will now be described with respect to
The magnets 1201A, 1281A; 1201B (not shown for clarity), 1281B can be arranged to align and magnetically couple, to urge the connector substrate 1280 and the band electrode 1200 together. Correct alignment of the poles of the magnets 1201A, 1281A; 1201B, 1281B can also be used to ensure both the correct positioning and orientation of the connector substrate 1280 and band electrode, which can ensure correct alignment of the connecting elements 1282, with corresponding ones of the tracks 1220, on the band electrode 1200.
It will be appreciated that this can be used to ensure correct connection with the electrode, and that a similar magnetic alignment technique may be used in the connectors previously described.
In use, the band electrode may be attached to the subject's torso, as shown in
The band electrode 1200 provides sufficient electrodes to allow cardiac function to be monitored. In the above example, the band electrode includes six electrodes, however any suitable number may be used, although typically at least four electrodes are required.
Variable Current
A further feature that can be implemented in the above measuring device is the provision of a signal generator 11 capable of generating a variable strength signal, such as a variable current. This may be used to allow the measuring device 1 to be utilised with different animals, detect problems with electrical connections, or to overcome noise problems.
In order to achieve this, the current source circuit shown in
To reduce noise and interference between the current source circuit and the control, which is typically achieved using the second processing module 17, it is typical to electrically isolate the variable resistor 17 from the control system. Accordingly in one example, the variable resistor VR10 is formed from a light dependent resistor. In this example, an light emitting diode (LED) or other illumination source can be provided, as shown at L1. The LED L1 can be coupled to a variable power supply P of any suitable form. In use, the power supply P, is controlled by the second processing module 17, thereby controlling the intensity of light generated by the LED L1, which in turn allows the resistance VR10, and hence the applied current, to be varied.
In order to operate the measuring device 1, the first processing system 10 and the second processing system 17 typically implement the process described in
At step 1410 the first processing system 10 and the second processing system 17 interact to determine one or more threshold values based on the selected measurement or animal type. This may be achieved in any one of a number of ways, such as by having the first processing system 10 retrieve threshold values from the memory 21 and transfer these to the second processing system 17, although any suitable mechanism may be used. In general, multiple thresholds may be used to specify different operating characteristics, for signal parameters such as a maximum current that can be applied to the subject S, the minimum voltage required to determine an impedance measurement, a minimum signal to noise ratio, or the like.
At step 1420 the second processing system 17 will activate the signal generator 11 causing a signal to be applied to the subject S. At step 1430 the response signal at the electrodes 15, 16 is measured using the sensor 12 with signals indicative of the signal being returned to the second processing system 17 at step 1430.
At step 1440 the second processing system 17 compares the at least one parameter of the measured signal to a threshold to determine if the measured signal is acceptable at step 1450. This may involve for example determining if the signal to noise levels within the measured voltage signal are above the minimum threshold, or involve to determine if the signal strength is above a minimum value.
If the signal is acceptable, impedance measurements can be performed at step 1460. If not, at step 1470 the second processing system 17 determines whether the applied signal has reached a maximum allowable. If this has occurred, the process ends at step 1490. However, if the maximum signal has not yet been reached, the second processing system 17 will operate to increase the magnitude of the current applied to the subject S at step 1480 before returning to step 1430 to determine a new measured signal.
Accordingly, this allows the current or voltage applied to the subject S to be gradually increased until a suitable signal can be measured to allow impedance values to be determined, or until either a maximum current or voltage value for the subject is reached.
It will be appreciated that the thresholds selected, and the initial current applied to the subject S in step 1420 will typically be selected depending on the nature of the subject. Thus, for example, if the subject is a human it is typical to utilise a lower magnitude current than if the subject is a animal such as a mouse or the like.
Device Updates
An example of a process for updating the measuring device will now be described with reference to
In one example, at step 1500 the process involves determining a measuring device 1 is to be configured with an upgrade, or the like, before configuration data is created at step 1510. At step 1520 the configuration data is typically uploaded to the device before the device is activated at 1530. At 1540 when the device commences operation the processing system 2 uses the configuration data to selectively activate features, either for example by controlling the upload of instructions, or by selectively activating instructions embedded within the processing system 2 or the controller 19.
This can be achieved in one of two ways. For example, the configuration data could consist of instructions, such as a software or firmware, which when implemented by the processing system 2 causes the feature to be implemented. Thus, for example, this process may be utilised to update the operation of the firmware provided in the second processing system 17, the processing system 10 or the controller 19 to allow additional functionality, improved measuring algorithms, or the like, to be implemented.
Alternatively, the configuration data could be in the form of a list of features, with this being used by the processing system 2 to access instructions already stored on the measuring device 1. Utilisation of configuration data in this manner, allows the measuring device to be loaded with a number of as yet additional features, but non-operational features, when the device is sold. In this example, by updating the configuration data provided on the measuring device 1, this allows these further features to be implemented without requiring return of the measuring device 1 for modification.
This is particularly useful in the medical industry as it allows additional features to be implemented when the feature receives approval for use. Thus, for example, techniques may be available for measuring or detecting lymphoedema in a predetermined way, such as through the use of a particular analysis of measured voltage signals or the like. In this instance when a device is sold, approval may not yet have been obtained from an administering body such as the Therapeutic Goods Administration, or the like. Accordingly, the feature is disabled by appropriate use of a configuration data. When the measurement technique subsequently gains approval, the configuration data can be modified by uploading a new updated configuration data to the measuring device, allowing the feature to be implemented.
It will be appreciated that these techniques may be used to implement any one of a number of different features, such as different measuring techniques, analysis algorithms, reports on results of measured impedance parameters, or the like.
An example of a suitable system for providing updates will now be described with respect to
In use, the base station 1600 includes a processing system 1610, coupled to a database 1611. The base station 1600 operates to determine when updates are required, select the devices to which updates are applied, generate the configuration data and provide this for update to the devices 1. It will be appreciated that the processing system 1610 may therefore be a server or the like.
This allows the configuration data to be uploaded from the server either to a user's end station 1603, such as a desk top computer, lap top, Internet terminal or the like, or alternatively allows transfer from the server via the communications network 1602, 1604, such as the Internet. It will be appreciated that any suitable communications system can be used such as wireless links, wi-fi connections, or the like.
In any event, an example of the process of updating the measuring device 1 will now be described in more detail with reference to
The base station 1600 uses the change in regulatory status to determine new features available at step 1710, before determining an identifier associated with each measuring device 1 to be updated at step 1720. As changes in regulatory approval are region specific, this is typically achieved by having the base station 1600 access database 1611 including details of the regions in which each measuring device sold are used. The database 1611 includes the identifier for each measuring device 1, thereby allowing the identifier of each measuring device to be updated to be determined.
At step 1730, the base station 1600 determines the existing configuration data, typically from the database 1611, for a next one of the measuring devices 1, before modifying the configuration data to implement the new features at step 1740. The configuration data is then encrypted utilising a key associated with the identifier. The key may be formed from a unique prime number associated with the serial number, or partially derived from the serial number, and is typically stored in the database 1611, or generated each time it is required using a predetermined algorithm.
At step 1760 the encrypted configuration data is transferred to the measuring device 1 as described above.
At step 1770 when the device restarts and the first processing system 10 is activated, the first processing system 10 determines the encryption key, and uses this to decrypt the configuration data. This may be achieved in any one of a number of ways, such as by generating the key using the serial number or other identifier, and a predetermined algorithm. Alternatively, this may be achieved by accessing a key stored in the memory 21. It will be appreciated that any form of encryption may be used, although typically strong encryption is used, in which a secret key is used to both encrypt and decrypt the configuration data, to thereby prevent fraudulent alteration of the configuration by users, as will be explained in more detail below.
At step 1780, the first processing system 10 activates software features within the second processing system 17 using the decrypted configuration data.
It will therefore be appreciated that this provides a mechanism for automatically updating the features available on the measuring device. This may be achieved either by having the second processing system 17 receive new firmware from the processing system 10, or by activating firmware already installed on the second processing system 17, as described above.
As an alternative to performing this automatically when additional features are approved for use, the process can be used to allow features to be activated on payment of a fee. In this example, a user may purchase a measuring device 1 with limited implemented functionality. By payment of a fee, additional features can then be activated as and when required by the user.
In this example, as shown in
At step 1840, once the payment is verified, the process can move to step 1720 to allow an automatic update to be provided in the form of a suitable configuration data. However, if payment details are not verified the process ends at 1850.
It will be appreciated by a person skilled in the art that encrypting the configuration data utilising a unique identifier means that the configuration data received by a measuring device 1 is specific to that measuring device. Accordingly, the first processing system 10 can only interpret the content of a configuration data if it is both encrypted and decrypted utilising the correct key. Accordingly, this prevents users exchanging configuration data, or attempting to re-encrypt a decrypted file for transfer to a different device.
It will be appreciated that in addition to, or as an alternative to simply specifying features in the configuration data, it may be necessary to upload additional firmware to the second processing system 17. This can be used for example, to implement features that could not be implemented using the firmware shipped with the measuring device 1.
In this example, it would be typical for the configuration data to include any required firmware to be uploaded, allowing this to be loaded into the second processing system 17, using the first processing system 10. This firmware can then either be automatically implemented, or implemented in accordance with the list of available features provided in the configuration data.
It will be appreciated that this provides a mechanism for updating and/or selectively activating or deactivating features, such as measuring protocols, impedance analysis algorithms, reports interpreting measured results, or the like. This can be performed to ensure the measuring device conforms to existing TGA or FDA approvals, or the like.
Housing
In order to provide a housing configuration with suitable electrical isolation for the subject an arrangement similar to that shown in
In this example the measuring device 1 is provided in a housing 70 which includes a touch screen 71, forming the I/O device 22, together with three respective circuit boards 72, 73, 74. In this instance the digital electronics including the second processing system 17 and the first processing system 10 are provided on the circuit board 72. The circuit board 73 is an analogue circuit board and includes the ADCs 37, 38, the DAC 39. A separate power supply board is then provided at 74. The supply board typically includes an integrated battery, allowing the measuring device 1 to form a portable device.
It is also typical housing electrical/magnetic shielding from the external environment, and accordingly, the housing is typically formed from a mu-metal, or from aluminium with added magnesium.
Persons skilled in the art will appreciate that numerous variations and modifications will become apparent. All such variations and modifications which become apparent to persons skilled in the art, should be considered to fall within the spirit and scope that the invention broadly appearing before described.
Thus, for example, it will be appreciated that features from different examples above may be used interchangeably where appropriate. Furthermore, whilst the above examples have focused on a subject such as a human, it will be appreciated that the measuring device and techniques described above can be used with any animal, including but not limited to, primates, livestock, performance animals, such race horses, or the like.
The above described processes can be used for diagnosing the presence, absence or degree of a range of conditions and illnesses, including, but not limited to oedema, lymphodema, body composition, or the like.
It will also be appreciated above described techniques, such as electrode identification, device updates and the like may be implemented using devices that do not utilise the separate first processing system 10 and second processing system 17, but rather use a single processing system 2, or use some other internal configuration.
Additionally, the end station 1603 can effectively perform any one or more of tasks performed by the first processing system 10 in the examples throughout the specification. Accordingly, the device could be provided without the first processing system 10, with the functionality usually performed by the first processing system 10 being performed by an end station 1603. In this arrangement, the end station 1603 therefore effectively forms part or all of the first processing system 10. This allows the measuring device 1 to be provided including only the second processing system 17 coupled directly to the external interface 23 to allow the measuring device 1 to be controlled by the end station 1603. This would typically be achieved via the use of suitable applications software installed on the end station 1603.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2005903510 | Jul 2005 | AU | national |
The present application is a continuation of U.S. application Ser. No. 15/240,555, filed Aug. 18, 2016, which is a continuation of U.S. application Ser. No. 13/867,632, filed Apr. 22, 2013, which is a continuation of U.S. application Ser. No. 11/993,340, filed Dec. 14, 2010, which is a U.S. National Phase under 35 U.S.C. 371 of the International Patent Application No. PCT/AU06/000922, filed Jun. 30, 2006, and published in English on Jan. 11, 2007 as WO 2007/002991, which claims the benefit of U.S. Provisional Application No. 60/697,100, filed Jul. 7, 2005, and Australian Application No. 2005903510, filed Jul. 1, 2005.
| Number | Name | Date | Kind |
|---|---|---|---|
| 3316896 | Thomasset | May 1967 | A |
| 3750649 | Severinghaus | Aug 1973 | A |
| 3851641 | Toole et al. | Dec 1974 | A |
| 3866600 | Rey | Feb 1975 | A |
| 3868165 | Gonser | Feb 1975 | A |
| 3871359 | Pacela | Mar 1975 | A |
| 4008712 | Nyboer | Feb 1977 | A |
| 4034854 | Bevilacqua | Jul 1977 | A |
| 4082087 | Howson | Apr 1978 | A |
| 4121575 | Mills et al. | Oct 1978 | A |
| 4144878 | Wheeler | Mar 1979 | A |
| RE30101 | Kubicek et al. | Sep 1979 | E |
| 4169463 | Piquard | Oct 1979 | A |
| 4184486 | Papa | Jan 1980 | A |
| 4233987 | Feingold | Nov 1980 | A |
| 4291708 | Frei et al. | Sep 1981 | A |
| 4314563 | Wheeler | Feb 1982 | A |
| 4353372 | Ayer | Oct 1982 | A |
| 4365634 | Bare et al. | Dec 1982 | A |
| 4401356 | Bare | Aug 1983 | A |
| 4407288 | Langer et al. | Oct 1983 | A |
| 4407300 | Davis | Oct 1983 | A |
| 4450527 | Sramek | May 1984 | A |
| 4458694 | Sollish et al. | Jul 1984 | A |
| 4468832 | Bai et al. | Sep 1984 | A |
| 4486835 | Bai et al. | Dec 1984 | A |
| 4537203 | Machida | Aug 1985 | A |
| 4539640 | Fry et al. | Sep 1985 | A |
| 4557271 | Stoller et al. | Dec 1985 | A |
| 4583549 | Manoli | Apr 1986 | A |
| 4602338 | Cook | Jul 1986 | A |
| 4617639 | Brown et al. | Oct 1986 | A |
| 4638807 | Ryder | Jan 1987 | A |
| 4646754 | Seale | Mar 1987 | A |
| 4686477 | Givens et al. | Aug 1987 | A |
| 4688580 | Ko et al. | Aug 1987 | A |
| 4695955 | Faisandier | Sep 1987 | A |
| 4763660 | Kroll et al. | Aug 1988 | A |
| 4793362 | Tedner | Dec 1988 | A |
| 4832608 | Kroll | May 1989 | A |
| 4836214 | Sramek et al. | Jun 1989 | A |
| 4890630 | Kroll et al. | Jan 1990 | A |
| 4895163 | Libke et al. | Jan 1990 | A |
| 4899758 | Finkelstein et al. | Feb 1990 | A |
| 4905705 | Kizakevich et al. | Mar 1990 | A |
| 4911175 | Shizgal | Mar 1990 | A |
| 4922911 | Wada et al. | May 1990 | A |
| 4924875 | Chamoun | May 1990 | A |
| 4942880 | Sloväk | Jul 1990 | A |
| 4951682 | Petre | Aug 1990 | A |
| 4981141 | Segalowitz | Jan 1991 | A |
| 5020541 | Marriott | Jun 1991 | A |
| 5025784 | Shao et al. | Jun 1991 | A |
| 5063937 | Ezenwa et al. | Nov 1991 | A |
| 5078134 | Heilman et al. | Jan 1992 | A |
| 5086781 | Bookspan | Feb 1992 | A |
| 5101828 | Welkowitz et al. | Apr 1992 | A |
| 5143079 | Frei et al. | Sep 1992 | A |
| 5184624 | Brown et al. | Feb 1993 | A |
| 5197479 | Hubelbank et al. | Mar 1993 | A |
| 5199432 | Quedens et al. | Apr 1993 | A |
| 5233982 | Kohl | Aug 1993 | A |
| 5246008 | Meuller | Sep 1993 | A |
| 5272624 | Gisser et al. | Dec 1993 | A |
| 5280429 | Whithers | Jan 1994 | A |
| 5282840 | Hudrlik | Feb 1994 | A |
| 5284142 | Goble et al. | Feb 1994 | A |
| 5305192 | Bonte et al. | Apr 1994 | A |
| 5309917 | Wang et al. | May 1994 | A |
| 5311878 | Brown et al. | May 1994 | A |
| 5335667 | Cha et al. | Aug 1994 | A |
| 5351697 | Cheney et al. | Oct 1994 | A |
| 5353802 | Ollmar | Oct 1994 | A |
| 5372141 | Gallup et al. | Dec 1994 | A |
| 5381333 | Isaacson et al. | Jan 1995 | A |
| 5390110 | Cheney et al. | Feb 1995 | A |
| 5415164 | Faupel | May 1995 | A |
| 5421345 | Lekholm et al. | Jun 1995 | A |
| 5423326 | Wang et al. | Jun 1995 | A |
| 5427113 | Hiroshi et al. | Jun 1995 | A |
| 5449000 | Libke et al. | Sep 1995 | A |
| 5454377 | Dzwonczyk et al. | Oct 1995 | A |
| 5465730 | Zadehoochak et al. | Nov 1995 | A |
| 5469859 | Tsoglin et al. | Nov 1995 | A |
| 5503157 | Sramek | Apr 1996 | A |
| 5505209 | Reining | Apr 1996 | A |
| 5511553 | Segalowitz | Apr 1996 | A |
| 5526808 | Kaminsky | Jun 1996 | A |
| 5529072 | Sramek | Jun 1996 | A |
| 5544662 | Saulnier et al. | Aug 1996 | A |
| 5557242 | Wetherell | Sep 1996 | A |
| 5562607 | Gyory | Oct 1996 | A |
| 5575929 | Yu et al. | Nov 1996 | A |
| 5588429 | Isaacson et al. | Dec 1996 | A |
| 5611351 | Sato et al. | Mar 1997 | A |
| 5615689 | Kotler | Apr 1997 | A |
| 5626135 | Sanfilippo | May 1997 | A |
| 5626146 | Barber et al. | May 1997 | A |
| 5679022 | Cappa et al. | Oct 1997 | A |
| 5704355 | Bridges | Jan 1998 | A |
| 5730136 | Laufer et al. | Mar 1998 | A |
| 5732710 | Rabinovich | Mar 1998 | A |
| 5735284 | Tsoglin et al. | Apr 1998 | A |
| 5746214 | Brown et al. | May 1998 | A |
| 5749369 | Rabinovich | May 1998 | A |
| 5759159 | Masreliez | Jun 1998 | A |
| 5788643 | Feldman | Aug 1998 | A |
| 5800350 | Coppleson et al. | Sep 1998 | A |
| 5807251 | Wang et al. | Sep 1998 | A |
| 5807270 | Williams | Sep 1998 | A |
| 5807272 | Kun et al. | Sep 1998 | A |
| 5810742 | Pearlman | Sep 1998 | A |
| 5876353 | Riff | Mar 1999 | A |
| 5906614 | Stern et al. | May 1999 | A |
| 5919142 | Boone et al. | Jul 1999 | A |
| 5947910 | Zimmet | Sep 1999 | A |
| 5957861 | Kaneko | Sep 1999 | A |
| 5964703 | Goodman et al. | Oct 1999 | A |
| 5994956 | Concorso | Nov 1999 | A |
| 6006125 | Kelly et al. | Dec 1999 | A |
| 6011992 | Hubbard et al. | Jan 2000 | A |
| 6015389 | Brown | Jan 2000 | A |
| 6018677 | Vidrine et al. | Jan 2000 | A |
| 6026323 | Skladnev et al. | Feb 2000 | A |
| 6078833 | Hueber | Jun 2000 | A |
| 6101413 | Olson et al. | Aug 2000 | A |
| 6115626 | Whayne et al. | Sep 2000 | A |
| 6122544 | Organ | Sep 2000 | A |
| 6125297 | Siconolfi | Sep 2000 | A |
| 6129666 | DeLuca et al. | Oct 2000 | A |
| 6142949 | Ubby | Nov 2000 | A |
| 6151520 | Combs | Nov 2000 | A |
| 6151523 | Ferrer et al. | Nov 2000 | A |
| 6167300 | Cherepenin et al. | Dec 2000 | A |
| 6173003 | Whikehart et al. | Jan 2001 | B1 |
| 6228022 | Friesem et al. | May 2001 | B1 |
| 6233473 | Shepherd et al. | May 2001 | B1 |
| 6236886 | Cherepenin et al. | May 2001 | B1 |
| 6248083 | Smith et al. | Jun 2001 | B1 |
| 6253100 | Zhdanov | Jun 2001 | B1 |
| 6256532 | Cha | Jul 2001 | B1 |
| 6280396 | Clark | Aug 2001 | B1 |
| 6292690 | Petrucelli et al. | Sep 2001 | B1 |
| 6308097 | Pearlman | Oct 2001 | B1 |
| 6339722 | Heethaar | Jan 2002 | B1 |
| 6354996 | Drinan et al. | Mar 2002 | B1 |
| 6376023 | Mori | Apr 2002 | B1 |
| 6432045 | Lemperle et al. | Aug 2002 | B2 |
| 6459930 | Takehara et al. | Oct 2002 | B1 |
| 6469732 | Chang et al. | Oct 2002 | B1 |
| 6472888 | Oguma et al. | Oct 2002 | B2 |
| 6496725 | Kamada et al. | Dec 2002 | B2 |
| 6497659 | Rafert | Dec 2002 | B1 |
| 6501984 | Church et al. | Dec 2002 | B1 |
| 6510340 | Jordan | Jan 2003 | B1 |
| 6511438 | Bernstein et al. | Jan 2003 | B2 |
| 6512949 | Combs et al. | Jan 2003 | B1 |
| 6516218 | Cheng et al. | Feb 2003 | B1 |
| 6522910 | Gregory | Feb 2003 | B1 |
| 6532384 | Fukuda | Mar 2003 | B1 |
| 6551252 | Sackner et al. | Apr 2003 | B2 |
| 6556001 | Wiegand et al. | Apr 2003 | B1 |
| 6560480 | Nachaliel et al. | May 2003 | B1 |
| 6561986 | Baura et al. | May 2003 | B2 |
| 6564079 | Cory et al. | May 2003 | B1 |
| 6569160 | Goldin et al. | May 2003 | B1 |
| 6584348 | Glukhovsky | Jun 2003 | B2 |
| 6602201 | Hepp et al. | Aug 2003 | B1 |
| 6615077 | Zhu et al. | Sep 2003 | B1 |
| 6618616 | Iijima et al. | Sep 2003 | B2 |
| 6623312 | Merry et al. | Sep 2003 | B2 |
| 6625487 | Herleikson | Sep 2003 | B2 |
| 6631292 | Liedtk | Oct 2003 | B1 |
| 6633777 | Szopinski | Oct 2003 | B2 |
| 6636754 | Baura et al. | Oct 2003 | B1 |
| 6643543 | Takehara et al. | Nov 2003 | B2 |
| 6658296 | Wong et al. | Dec 2003 | B1 |
| 6714813 | Ishigooka | Mar 2004 | B2 |
| 6714814 | Yamada et al. | Mar 2004 | B2 |
| 6723049 | Skladnev et al. | Apr 2004 | B2 |
| 6724200 | Fukuda | Apr 2004 | B2 |
| 6725089 | Komatsu et al. | Apr 2004 | B2 |
| 6760617 | Ward et al. | Jul 2004 | B2 |
| 6763263 | Gregory et al. | Jul 2004 | B2 |
| 6768921 | Organ et al. | Jul 2004 | B2 |
| 6788966 | Kenan et al. | Sep 2004 | B2 |
| 6790178 | Mault et al. | Sep 2004 | B1 |
| 6807443 | Keren | Oct 2004 | B2 |
| 6829501 | Nielsen et al. | Dec 2004 | B2 |
| 6829503 | Alt | Dec 2004 | B2 |
| 6840907 | Brydon | Jan 2005 | B1 |
| 6845264 | Skladnev et al. | Jan 2005 | B1 |
| 6870109 | Villarreal | Mar 2005 | B1 |
| 6875176 | Mourad et al. | Apr 2005 | B2 |
| 6884214 | Itagaki | Apr 2005 | B2 |
| 6906533 | Yoshida | Jun 2005 | B1 |
| 6922586 | Davies | Jul 2005 | B2 |
| 6936012 | Wells | Aug 2005 | B2 |
| 6940286 | Nakada | Sep 2005 | B2 |
| RE38879 | Goodman et al. | Nov 2005 | E |
| 6980852 | Jersey-Willuhn et al. | Dec 2005 | B2 |
| 6980853 | Miyoshi et al. | Dec 2005 | B2 |
| 7065399 | Nakada | Jun 2006 | B2 |
| 7079889 | Nakada | Jul 2006 | B2 |
| 7096061 | Arad | Aug 2006 | B2 |
| 7122012 | Bouton et al. | Oct 2006 | B2 |
| 7130680 | Kodama et al. | Oct 2006 | B2 |
| 7132611 | Gregaard et al. | Nov 2006 | B2 |
| 7148701 | Park et al. | Dec 2006 | B2 |
| 7149573 | Wang | Dec 2006 | B2 |
| 7169107 | Jersey-Willuhn et al. | Jan 2007 | B2 |
| 7184820 | Jersey-Willuhn et al. | Feb 2007 | B2 |
| 7184821 | Belalcazar et al. | Feb 2007 | B2 |
| 7186220 | Stahmann et al. | Mar 2007 | B2 |
| 7206630 | Tarler | Apr 2007 | B1 |
| 7212852 | Smith et al. | May 2007 | B2 |
| 7233823 | Simond et al. | Jun 2007 | B2 |
| 7251524 | Hepp et al. | Jul 2007 | B1 |
| 7288943 | Matthiessen et al. | Oct 2007 | B2 |
| D557809 | Neverov et al. | Dec 2007 | S |
| 7313435 | Nakada et al. | Dec 2007 | B2 |
| 7317161 | Fukuda | Jan 2008 | B2 |
| 7336992 | Shiokawa | Feb 2008 | B2 |
| 7440796 | Woo et al. | Oct 2008 | B2 |
| 7457660 | Smith et al. | Nov 2008 | B2 |
| 7477937 | Iijima et al. | Jan 2009 | B2 |
| 7496450 | Ortiz Aleman et al. | Feb 2009 | B2 |
| 7499745 | Littrup et al. | Mar 2009 | B2 |
| 7596411 | Sokurski | Sep 2009 | B1 |
| D603051 | Causevic et al. | Oct 2009 | S |
| 7603158 | Nachman | Oct 2009 | B2 |
| 7603171 | Eror et al. | Oct 2009 | B2 |
| 7628761 | Gozani et al. | Dec 2009 | B2 |
| 7638341 | Rubinsky et al. | Dec 2009 | B2 |
| 7657292 | Baker et al. | Feb 2010 | B2 |
| 7660617 | Davis | Feb 2010 | B2 |
| 7706872 | Min et al. | Apr 2010 | B2 |
| 7711418 | Garber et al. | May 2010 | B2 |
| 7729756 | Mertelmeier et al. | Jun 2010 | B2 |
| 7733224 | Tran | Jun 2010 | B2 |
| 7749013 | Sato et al. | Jul 2010 | B2 |
| 7860557 | Istvan et al. | Dec 2010 | B2 |
| 7907998 | Arad (Abboud) | Mar 2011 | B2 |
| 7917202 | Chamney et al. | Mar 2011 | B2 |
| D641886 | Causevic et al. | Jul 2011 | S |
| 7983853 | Wang et al. | Jul 2011 | B2 |
| D647208 | Rothman et al. | Oct 2011 | S |
| 8055335 | Stylos | Nov 2011 | B2 |
| 8068906 | Chetham | Nov 2011 | B2 |
| 8172762 | Robertson | May 2012 | B2 |
| 8233617 | Johnson et al. | Jul 2012 | B2 |
| 8233974 | Ward et al. | Jul 2012 | B2 |
| D669186 | Gozani | Oct 2012 | S |
| D669187 | Gozani | Oct 2012 | S |
| 8285356 | Bly et al. | Oct 2012 | B2 |
| D674096 | Gaw et al. | Jan 2013 | S |
| 8398546 | Pacione | Mar 2013 | B2 |
| 8467865 | Gregory et al. | Jun 2013 | B2 |
| 8744564 | Ward et al. | Jun 2014 | B2 |
| D718458 | Vosch et al. | Nov 2014 | S |
| D719660 | Vosch et al. | Dec 2014 | S |
| 8900154 | Stahmann | Dec 2014 | B2 |
| D728801 | Machon et al. | May 2015 | S |
| 9089275 | Stahmann | Jul 2015 | B2 |
| 20010007056 | Linder et al. | Jul 2001 | A1 |
| 20010007924 | Kamada et al. | Jul 2001 | A1 |
| 20010020138 | Ishigooka | Sep 2001 | A1 |
| 20010021799 | Ohlsson et al. | Sep 2001 | A1 |
| 20010025139 | Pearlman | Sep 2001 | A1 |
| 20010051774 | Littrup et al. | Dec 2001 | A1 |
| 20020072686 | Hoey et al. | Jan 2002 | A1 |
| 20020020138 | Walker et al. | Feb 2002 | A1 |
| 20020022773 | Drinan et al. | Feb 2002 | A1 |
| 20020022787 | Takehara et al. | Feb 2002 | A1 |
| 20020035334 | Meij et al. | Mar 2002 | A1 |
| 20020109621 | Khair et al. | May 2002 | A1 |
| 20020072682 | Hopman et al. | Jun 2002 | A1 |
| 20020079910 | Fukuda | Jun 2002 | A1 |
| 20020093991 | Plangger | Jul 2002 | A1 |
| 20020093992 | Plangger | Jul 2002 | A1 |
| 20020106681 | Wexler et al. | Aug 2002 | A1 |
| 20020111559 | Kurata et al. | Aug 2002 | A1 |
| 20020123674 | Plicchi | Sep 2002 | A1 |
| 20020123694 | Organ et al. | Sep 2002 | A1 |
| 20020138019 | Wexler et al. | Sep 2002 | A1 |
| 20020161311 | Ward et al. | Oct 2002 | A1 |
| 20020193689 | Bernstein et al. | Dec 2002 | A1 |
| 20020194419 | Rajput et al. | Dec 2002 | A1 |
| 20030004403 | Drinan et al. | Jan 2003 | A1 |
| 20030004433 | Hirschman | Jan 2003 | A1 |
| 20030009111 | Cory et al. | Jan 2003 | A1 |
| 20030023184 | Pitts-Crick et al. | Jan 2003 | A1 |
| 20030028221 | Zhu et al. | Feb 2003 | A1 |
| 20030036713 | Bouton et al. | Feb 2003 | A1 |
| 20030050570 | Kodama et al. | Mar 2003 | A1 |
| 20030073916 | Yonce | Apr 2003 | A1 |
| 20030105410 | Pearlman | Jun 2003 | A1 |
| 20030105411 | Smallwood et al. | Jun 2003 | A1 |
| 20030120164 | Nielsen | Jun 2003 | A1 |
| 20030120170 | Zhu et al. | Jun 2003 | A1 |
| 20030120182 | Wilkinson et al. | Jun 2003 | A1 |
| 20030173976 | Wiegand et al. | Sep 2003 | A1 |
| 20030176808 | Masuo | Sep 2003 | A1 |
| 20030216661 | Davies | Nov 2003 | A1 |
| 20030216664 | Suarez | Nov 2003 | A1 |
| 20040015095 | Li et al. | Jan 2004 | A1 |
| 20040019292 | Drinan | Jan 2004 | A1 |
| 20040059220 | Mourad et al. | Mar 2004 | A1 |
| 20040059242 | Masuo et al. | Mar 2004 | A1 |
| 20040073127 | Istvan et al. | Apr 2004 | A1 |
| 20040073130 | Bohm et al. | Apr 2004 | A1 |
| 20040077944 | Steinberg et al. | Apr 2004 | A1 |
| 20040116819 | Alt | Jun 2004 | A1 |
| 20040127793 | Mendlein et al. | Jul 2004 | A1 |
| 20040158167 | Smith et al. | Aug 2004 | A1 |
| 20040167423 | Pillon et al. | Aug 2004 | A1 |
| 20040171961 | Smith et al. | Sep 2004 | A1 |
| 20040181163 | Wong et al. | Sep 2004 | A1 |
| 20040181164 | Smith et al. | Sep 2004 | A1 |
| 20040186392 | Ward et al. | Sep 2004 | A1 |
| 20040210150 | Virtanen | Oct 2004 | A1 |
| 20040210158 | Organ et al. | Oct 2004 | A1 |
| 20040220632 | Burnes | Nov 2004 | A1 |
| 20040234113 | Miga | Nov 2004 | A1 |
| 20040236202 | Burton | Nov 2004 | A1 |
| 20040242987 | Liew et al. | Dec 2004 | A1 |
| 20040242989 | Zhu et al. | Dec 2004 | A1 |
| 20040243018 | Organ et al. | Dec 2004 | A1 |
| 20040252870 | Reeves et al. | Dec 2004 | A1 |
| 20040253652 | Davies | Dec 2004 | A1 |
| 20040260167 | Leonhardt et al. | Dec 2004 | A1 |
| 20040267333 | Kronberg | Dec 2004 | A1 |
| 20040267344 | Stett et al. | Dec 2004 | A1 |
| 20050020935 | Helzel et al. | Jan 2005 | A1 |
| 20050033281 | Bowman et al. | Feb 2005 | A1 |
| 20050039763 | Kraemer et al. | Feb 2005 | A1 |
| 20050049474 | Kellogg et al. | Mar 2005 | A1 |
| 20050070778 | Lackey | Mar 2005 | A1 |
| 20050080460 | Wang | Apr 2005 | A1 |
| 20050085743 | Hacker et al. | Apr 2005 | A1 |
| 20050098343 | Fukuda | May 2005 | A1 |
| 20050101875 | Semler | May 2005 | A1 |
| 20050107719 | Arad et al. | May 2005 | A1 |
| 20050113703 | Farringdon | May 2005 | A1 |
| 20050113704 | Lawson et al. | May 2005 | A1 |
| 20050124908 | Belalcazar | Jun 2005 | A1 |
| 20050137480 | Alt et al. | Jun 2005 | A1 |
| 20050151545 | Park et al. | Jul 2005 | A1 |
| 20050177061 | Alanen et al. | Aug 2005 | A1 |
| 20050177062 | Skrabal et al. | Aug 2005 | A1 |
| 20050192488 | Bryenton et al. | Sep 2005 | A1 |
| 20050201598 | Harel et al. | Sep 2005 | A1 |
| 20050203435 | Nakada | Sep 2005 | A1 |
| 20050203436 | Davies | Sep 2005 | A1 |
| 20050215918 | Frantz et al. | Sep 2005 | A1 |
| 20050228309 | Fisher et al. | Oct 2005 | A1 |
| 20050251062 | Choi et al. | Nov 2005 | A1 |
| 20050261743 | Kroll | Nov 2005 | A1 |
| 20050270051 | Yee | Dec 2005 | A1 |
| 20050283091 | Kink et al. | Dec 2005 | A1 |
| 20060004300 | Kennedy | Jan 2006 | A1 |
| 20060025701 | Kasahara | Feb 2006 | A1 |
| 20060041280 | Stahmann et al. | Feb 2006 | A1 |
| 20060047189 | Takehara | Mar 2006 | A1 |
| 20060052678 | Drinan | Mar 2006 | A1 |
| 20060058593 | Drinan | Mar 2006 | A1 |
| 20060064029 | Arad | Mar 2006 | A1 |
| 20060070623 | Wilkinson et al. | Apr 2006 | A1 |
| 20060074462 | Verhoef | Apr 2006 | A1 |
| 20060085048 | Cory et al. | Apr 2006 | A1 |
| 20060085049 | Cory et al. | Apr 2006 | A1 |
| 20060100532 | Bae et al. | May 2006 | A1 |
| 20060111652 | McLeod | May 2006 | A1 |
| 20060116599 | Davis | Jun 2006 | A1 |
| 20060122523 | Bonmassar et al. | Jun 2006 | A1 |
| 20060122540 | Zhu et al. | Jun 2006 | A1 |
| 20060135886 | Lippert et al. | Jun 2006 | A1 |
| 20060184060 | Belalcazar | Aug 2006 | A1 |
| 20060197509 | Kanamori et al. | Sep 2006 | A1 |
| 20060200033 | Keren et al. | Sep 2006 | A1 |
| 20060224079 | Washchuck | Oct 2006 | A1 |
| 20060224080 | Oku et al. | Oct 2006 | A1 |
| 20060241513 | Hatlestad et al. | Oct 2006 | A1 |
| 20060241719 | Foster et al. | Oct 2006 | A1 |
| 20060247543 | Cornish et al. | Nov 2006 | A1 |
| 20060252670 | Fiorucci et al. | Nov 2006 | A1 |
| 20060253016 | Baker et al. | Nov 2006 | A1 |
| 20060258952 | Stahmann | Nov 2006 | A1 |
| 20060264775 | Mills et al. | Nov 2006 | A1 |
| 20060264776 | Mills et al. | Nov 2006 | A1 |
| 20060270942 | McAdams | Nov 2006 | A1 |
| 20070007975 | Hawkins et al. | Jan 2007 | A1 |
| 20070010758 | Mattiessen et al. | Jan 2007 | A1 |
| 20070024310 | Tokuno et al. | Feb 2007 | A1 |
| 20070027402 | Levin et al. | Feb 2007 | A1 |
| 20070043303 | Osypka et al. | Feb 2007 | A1 |
| 20070049993 | Ahn et al. | Mar 2007 | A1 |
| 20070087703 | Li et al. | Apr 2007 | A1 |
| 20070088227 | Nishimura | Apr 2007 | A1 |
| 20070106342 | Schumann | May 2007 | A1 |
| 20070118027 | Baker et al. | May 2007 | A1 |
| 20070156061 | Hess | Jul 2007 | A1 |
| 20070188219 | Segarra | Aug 2007 | A1 |
| 20070246046 | Teschner et al. | Oct 2007 | A1 |
| 20070270707 | Belalcazar | Nov 2007 | A1 |
| 20080001608 | Saulnier | Jan 2008 | A1 |
| 20080002873 | Reeves et al. | Jan 2008 | A1 |
| 20080004904 | Tran | Jan 2008 | A1 |
| 20080009757 | Tsoglin et al. | Jan 2008 | A1 |
| 20080009759 | Chetham | Jan 2008 | A1 |
| 20080027350 | Webler | Jan 2008 | A1 |
| 20080039700 | Drinan et al. | Feb 2008 | A1 |
| 20080048786 | Feldkamp et al. | Feb 2008 | A1 |
| 20080051643 | Park et al. | Feb 2008 | A1 |
| 20080064981 | Gregory | Mar 2008 | A1 |
| 20080091114 | Min et al. | Apr 2008 | A1 |
| 20080139957 | Hubbard et al. | Jun 2008 | A1 |
| 20080183098 | Denison et al. | Jul 2008 | A1 |
| 20080188757 | Rovira et al. | Aug 2008 | A1 |
| 20080200802 | Bhavaraju et al. | Aug 2008 | A1 |
| 20080205717 | Reeves et al. | Aug 2008 | A1 |
| 20080221411 | Hausmann et al. | Sep 2008 | A1 |
| 20080247502 | Liao | Oct 2008 | A1 |
| 20080252304 | Woo et al. | Oct 2008 | A1 |
| 20080262375 | Brown et al. | Oct 2008 | A1 |
| 20080287823 | Chetham | Nov 2008 | A1 |
| 20080306400 | Takehara | Dec 2008 | A1 |
| 20080306402 | Singer | Dec 2008 | A1 |
| 20080319336 | Ward et al. | Dec 2008 | A1 |
| 20090018432 | He | Jan 2009 | A1 |
| 20090043222 | Chetham | Feb 2009 | A1 |
| 20090054952 | Glukhovsky et al. | Feb 2009 | A1 |
| 20090069708 | Hatlestad et al. | Mar 2009 | A1 |
| 20090076343 | James et al. | Mar 2009 | A1 |
| 20090076345 | Manicka et al. | Mar 2009 | A1 |
| 20090076350 | Bly et al. | Mar 2009 | A1 |
| 20090076410 | Libbus et al. | Mar 2009 | A1 |
| 20090082679 | Chetham | Mar 2009 | A1 |
| 20090084674 | Holzhacker et al. | Apr 2009 | A1 |
| 20090093730 | Grassl | Apr 2009 | A1 |
| 20090105555 | Dacso et al. | Apr 2009 | A1 |
| 20090143663 | Chetham | Jun 2009 | A1 |
| 20090177099 | Smith et al. | Jul 2009 | A1 |
| 20090209828 | Musin | Aug 2009 | A1 |
| 20090209872 | Pop | Aug 2009 | A1 |
| 20090216140 | Skrabal | Aug 2009 | A1 |
| 20090216148 | Freed et al. | Aug 2009 | A1 |
| 20090234244 | Tanaka | Sep 2009 | A1 |
| 20090240163 | Webler | Sep 2009 | A1 |
| 20090264727 | Markowitz | Oct 2009 | A1 |
| 20090264745 | Markowitz et al. | Oct 2009 | A1 |
| 20090264776 | Vardy | Oct 2009 | A1 |
| 20090264791 | Gregory et al. | Oct 2009 | A1 |
| 20090275854 | Zielinski et al. | Nov 2009 | A1 |
| 20090275855 | Zielinski et al. | Nov 2009 | A1 |
| 20090287102 | Ward | Nov 2009 | A1 |
| 20090306535 | Davies et al. | Dec 2009 | A1 |
| 20090318778 | Dacso et al. | Dec 2009 | A1 |
| 20090326408 | Moon | Dec 2009 | A1 |
| 20100007357 | Ammari et al. | Jan 2010 | A1 |
| 20100049077 | Sadleir et al. | Feb 2010 | A1 |
| 20100056881 | Libbus et al. | Mar 2010 | A1 |
| 20100094160 | Eror et al. | Apr 2010 | A1 |
| 20100100003 | Chetham et al. | Apr 2010 | A1 |
| 20100100146 | Blomqvist | Apr 2010 | A1 |
| 20100106046 | Shochat | Apr 2010 | A1 |
| 20100152605 | Ward | Jun 2010 | A1 |
| 20100168530 | Chetham et al. | Jul 2010 | A1 |
| 20100191141 | Aberg | Jul 2010 | A1 |
| 20100228143 | Teschner et al. | Sep 2010 | A1 |
| 20110025348 | Chetham et al. | Feb 2011 | A1 |
| 20110034806 | Hartov et al. | Feb 2011 | A1 |
| 20110046505 | Cornish et al. | Feb 2011 | A1 |
| 20110054343 | Chetham et al. | Mar 2011 | A1 |
| 20110054344 | Slizynski | Mar 2011 | A1 |
| 20110060239 | Gaw | Mar 2011 | A1 |
| 20110060241 | Martinsen et al. | Mar 2011 | A1 |
| 20110082383 | Cory et al. | Apr 2011 | A1 |
| 20110087129 | Chetham et al. | Apr 2011 | A1 |
| 20110118619 | Burton et al. | May 2011 | A1 |
| 20110190655 | Moissl et al. | Aug 2011 | A1 |
| 20110208084 | Martinez et al. | Aug 2011 | A1 |
| 20110230784 | Slizynski et al. | Sep 2011 | A2 |
| 20110245712 | Patterson et al. | Oct 2011 | A1 |
| 20110251513 | Chetham et al. | Oct 2011 | A1 |
| 20110274327 | Wehnes et al. | Nov 2011 | A1 |
| 20110282180 | Goldkuhl et al. | Nov 2011 | A1 |
| 20120071772 | Chetham | Mar 2012 | A1 |
| 20120165884 | Xi | Jun 2012 | A1 |
| 20120238896 | Garber et al. | Sep 2012 | A1 |
| 20130102873 | Hamaguchi | Apr 2013 | A1 |
| 20130165760 | Erlinger et al. | Jun 2013 | A1 |
| 20130165761 | De Limon et al. | Jun 2013 | A1 |
| 20140148721 | Erlinger et al. | May 2014 | A1 |
| 20140371566 | Raymond et al. | Dec 2014 | A1 |
| Number | Date | Country |
|---|---|---|
| 2231038 | Nov 1999 | CA |
| 2638958 | Jun 2000 | CA |
| 2613524 | Jan 2007 | CA |
| 2615845 | Jan 2007 | CA |
| 1180513 | May 1998 | CN |
| 1236597 | Dec 1999 | CN |
| 1329875 | Jan 2002 | CN |
| 2912349 | Oct 1980 | DE |
| 0249823 | Dec 1987 | EP |
| 0339471 | Nov 1989 | EP |
| 349043 | Mar 1990 | EP |
| 0349043 | Mar 1990 | EP |
| 0357309 | Mar 1990 | EP |
| 377887 | Jul 1990 | EP |
| 0581073 | Feb 1994 | EP |
| 339471 | Mar 1997 | EP |
| 865763 | Sep 1998 | EP |
| 0869360 | Oct 1998 | EP |
| 1078597 | Feb 2001 | EP |
| 1080686 | Mar 2001 | EP |
| 1112715 | Apr 2001 | EP |
| 1112715 | Jul 2001 | EP |
| 1118308 | Jul 2001 | EP |
| 1146344 | Oct 2001 | EP |
| 1114610 | Nov 2001 | EP |
| 1177760 | Feb 2002 | EP |
| 1219937 | Jul 2002 | EP |
| 1238630 | Sep 2002 | EP |
| 1247487 | Sep 2002 | EP |
| 1329190 | Jul 2003 | EP |
| 1338246 | Aug 2003 | EP |
| 1353595 | Oct 2003 | EP |
| 1080686 | Mar 2004 | EP |
| 1452131 | Sep 2004 | EP |
| 1553871 | Jul 2005 | EP |
| 1118308 | Nov 2005 | EP |
| 1629772 | Mar 2006 | EP |
| 1903938 | Apr 2008 | EP |
| 1909642 | Apr 2008 | EP |
| 1948017 | Jul 2008 | EP |
| 1353595 | Aug 2008 | EP |
| 2486386 | Jan 1982 | FR |
| 2748928 | Nov 1997 | FR |
| 1441622 | Jul 1976 | GB |
| 2131558 | Jun 1984 | GB |
| 2260416 | Apr 1993 | GB |
| 2426824 | Dec 2006 | GB |
| 612563 | Jan 1986 | JP |
| 04096733 | Mar 1992 | JP |
| 674103 | Oct 1994 | JP |
| 8191808 | Jul 1996 | JP |
| 09051884 | Feb 1997 | JP |
| 9220209 | Aug 1997 | JP |
| 10000185 | Jan 1998 | JP |
| 10014898 | Jan 1998 | JP |
| 10014899 | Feb 1998 | JP |
| 10080406 | Mar 1998 | JP |
| 10225521 | Aug 1998 | JP |
| 11070090 | Mar 1999 | JP |
| 11513592 | Nov 1999 | JP |
| 2000107138 | Apr 2000 | JP |
| 2000139867 | May 2000 | JP |
| 2001037735 | Feb 2001 | JP |
| 2001061804 | Mar 2001 | JP |
| 2001204707 | Jul 2001 | JP |
| 2001224568 | Aug 2001 | JP |
| 2001245866 | Sep 2001 | JP |
| 2001321352 | Nov 2001 | JP |
| 2002502274 | Jan 2002 | JP |
| 2002238870 | Aug 2002 | JP |
| 2002330938 | Nov 2002 | JP |
| 2002350477 | Dec 2002 | JP |
| 2003502092 | Jan 2003 | JP |
| 2003075487 | Mar 2003 | JP |
| 2003-116803 | Apr 2003 | JP |
| 2003116805 | Apr 2003 | JP |
| 2003-230547 | Aug 2003 | JP |
| 2004-61251 | Feb 2004 | JP |
| 2005-505388 | Feb 2005 | JP |
| 2005-143786 | Jun 2005 | JP |
| 2006-501892 | Jan 2006 | JP |
| 2008-502382 | Jan 2008 | JP |
| 2008022995 | Jul 2008 | JP |
| 2010-526604 | Aug 2010 | JP |
| 2112416 | Jun 1998 | RU |
| WO 1988007392 | Oct 1988 | WO |
| WO 199019454 | Dec 1991 | WO |
| WO 1993018821 | Sep 1993 | WO |
| WO 1994001040 | Jan 1994 | WO |
| WO 1994010922 | May 1994 | WO |
| WO 1996001586 | Jan 1996 | WO |
| WO 1996011631 | Apr 1996 | WO |
| WO 1996012439 | May 1996 | WO |
| WO 1996032652 | Oct 1996 | WO |
| WO 1997011638 | Apr 1997 | WO |
| WO 1997014358 | Apr 1997 | WO |
| WO 1997043000 | Nov 1997 | WO |
| WO 1998006328 | Feb 1998 | WO |
| WO 1998012983 | Apr 1998 | WO |
| WO 1998023204 | Jun 1998 | WO |
| WO 1998033553 | Aug 1998 | WO |
| WO 1998051211 | Nov 1998 | WO |
| WO 1998054792 | Dec 1998 | WO |
| WO 1999042034 | Aug 1999 | WO |
| WO 1999048422 | Sep 1999 | WO |
| WO 2000019886 | Apr 2000 | WO |
| WO 2000040955 | Jul 2000 | WO |
| WO 2000078213 | Dec 2000 | WO |
| WO 2000079255 | Dec 2000 | WO |
| WO 2001027605 | Apr 2001 | WO |
| WO 2001050954 | Jul 2001 | WO |
| WO 2001052733 | Jul 2001 | WO |
| WO 2001067098 | Sep 2001 | WO |
| WO 2001078831 | Oct 2001 | WO |
| WO 2002053028 | Jul 2002 | WO |
| WO 2002062214 | Aug 2002 | WO |
| WO 2002094096 | Nov 2002 | WO |
| WO 2002100267 | Dec 2002 | WO |
| WO 2004000115 | Dec 2003 | WO |
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| WO 2004006660 | Jan 2004 | WO |
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| WO 2004030535 | Apr 2004 | WO |
| WO 2004032738 | Apr 2004 | WO |
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| WO 2004047636 | Jun 2004 | WO |
| WO 2004047638 | Jun 2004 | WO |
| WO 2004049936 | Jun 2004 | WO |
| WO 2004083804 | Sep 2004 | WO |
| WO 2004084087 | Sep 2004 | WO |
| WO 2004084723 | Oct 2004 | WO |
| WO 2004098389 | Nov 2004 | WO |
| WO 2004112563 | Dec 2004 | WO |
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| WO 2005018432 | Mar 2005 | WO |
| WO 2005027717 | Mar 2005 | WO |
| WO 2005051163 | Jun 2005 | WO |
| WO 2005051194 | Jun 2005 | WO |
| WO 2005122881 | Dec 2005 | WO |
| WO 2005122888 | Dec 2005 | WO |
| WO 2006045051 | Apr 2006 | WO |
| WO 2006056074 | Jun 2006 | WO |
| WO 2006129108 | Dec 2006 | WO |
| WO 2006129116 | Dec 2006 | WO |
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| WO 2007002992 | Jan 2007 | WO |
| WO 2007002993 | Jan 2007 | WO |
| WO 2007009183 | Jan 2007 | WO |
| WO 2007041783 | Apr 2007 | WO |
| WO 2007045006 | Apr 2007 | WO |
| WO 2007056493 | May 2007 | WO |
| WO 2007056793 | May 2007 | WO |
| WO 2007070997 | Jun 2007 | WO |
| WO 2007105996 | Sep 2007 | WO |
| WO 2007128952 | Nov 2007 | WO |
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| WO 2008064426 | Jun 2008 | WO |
| WO 2008054426 | Aug 2008 | WO |
| WO 2008119166 | Oct 2008 | WO |
| WO 2008138062 | Nov 2008 | WO |
| WO 2008149125 | Dec 2008 | WO |
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| WO 2009027812 | Mar 2009 | WO |
| WO 2009036369 | Mar 2009 | WO |
| WO 2009068961 | Jun 2009 | WO |
| WO 2009100491 | Aug 2009 | WO |
| WO 2009112965 | Sep 2009 | WO |
| WO 2010003162 | Jan 2010 | WO |
| WO 2010029465 | Mar 2010 | WO |
| WO 2010069023 | Jun 2010 | WO |
| WO 2010076719 | Jul 2010 | WO |
| WO 2011018744 | Feb 2011 | WO |
| WO 2011022068 | Feb 2011 | WO |
| WO 2011050393 | May 2011 | WO |
| WO 2011075769 | Jun 2011 | WO |
| WO 2011113169 | Sep 2011 | WO |
| WO 2011136867 | Nov 2011 | WO |
| WO 2014176420 | Oct 2014 | WO |
| Entry |
|---|
| Abdullah M. Z.; Simulation of an inverse problem in electrical impedance tomography using resistance electrical network analogues; International Journal of Electrical Engineering Education; vol. 36, No. 4, pp. 311-324; Oct. 1999. |
| Al-Hatib, F.; Patient Instrument connection errors in bioelectrical impedance measurement; Physiological Measurement; vol. 19, No. 2, pp. 285-296; May 2, 1998. |
| Bella, et al., Relations of Left Ventricular Mass to Fat-Free and Adipose Body Mass: The Strong Heart Study, (1998) Circulation, vol. 98, pp. 2538-2544. |
| Bernstein; A New Stroke Volume Equation for Thoracic Electrical Bio Impedance; Critical Care Medicine; vol. 14, pp. 904-909; 1986. |
| Blad et al.; Impedance Spectra of Tumour Tissue in Tomparison with Normal Tissue; A Possible Clinical Application for Electrical Impedance Tomography; Physiological Measurement; vol. 17, pp. A105-A115; 1996. |
| Boulier, A. et al.; Fat-Free Mass Estimation by Two Electrode Impedance Method; American Journal of Clinical Nutrition; vol. 52, pp. 581-585; 1990. |
| Bracco, D. et al., Bedside determination of fluid accumulation after cardiac surgery using segmental bioelectrical impedance, Critical Care Medicine, vol. 26, No. 6, pp. 1065-1070, 1998. |
| Calf Muscle Pump; IFMBE Proceedings; vol. 17, pp. 616-619; 2007. |
| Chaudary, S.S. et al.; Dielectric Properties of Normal & Malignant Human Breast Tissues at Radiowave and Microwave Frequencies; Indian Journal of Biochemistry & Biophysics; vol. 21, No. 1, pp. 76-79; 1984. |
| Chiolero, R.L. et al.; Assessment of changes in body water by bioimpedance in acutely ill surgical patients; Intensive Care Medicine; vol. 18, pp. 322-326; 1992. |
| Chumlea et al.; Bioelectrical Impedance and Body Composition: Present Status and Future Directions; Nutrition Reviews; vol. 52, No. 4, pp. 123-131; 1994. |
| International Preliminary Report on Patentability issued in PCT/AU2006/000922 dated Jan. 9, 2008. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2006/000922 dated Oct. 10, 2006. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2006/000922 dated Oct. 13, 2006. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2006/000924 dated Oct. 5, 2006. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2006/001057 dated Oct. 25, 2006. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2008/000034 dated Mar. 17, 2008. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2008/000588 dated Aug. 13, 2008. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2008/001521 dated Jan. 15, 2009. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/AU2009/000163 dated Apr. 16, 2009. |
| International Search Report and Written Opinion of the International Searching Authority issued in PCT/CA2008/000588 dated Aug. 13, 2008. |
| International Search Report from International Application No. PCT/AU2006/000924 dated Sep. 27, 2006. |
| Cornish, B.H, et al.; Optimizing Electrode Sites for Segmental Bioimpedance Measurements; Physiological Measurement; Institute of Physics; pp. 241-250, vol. 20, No. 3; 1999. |
| Cornish, B.H, et al.; A New Technique for the Quantification of Peripheral Edema with Application in Both Unilateral and Bilateral Cases; Angiology ; pp. 41-47, vol. 53, No. 1; 2002. |
| Cornish, B.H. et al.; Alteration of the extracellular and total body water volumes measured by multiple frequency bioelectrical impedance analysis; Nutrition Research; vol. 14, No. 5, pp. 717-727; 1994. |
| Cornish, B.H. et al.; Bioelectrical impedance for monitoring the efficacy of lymphoedema treatment programmes; Breast Cancer Research and Treatment; vol. 38, pp. 169-176; 1996. |
| Cornish, B.H. et al.; Data analysis in multiple-frequency bioelectrical impedance analysis; Physiological Measurement; vol. 19, No. 2, pp. 275-283; May 1, 1998. |
| Cornish, B.H. et al.; Early diagnosis of lymphedema using multiple frequency bioimpedance; Lymphology; vol. 34, pp. 2-11; Mar. 2001. |
| Cornish, B.H. et al.; Early diagnosis of lymphoedema in postsurgery breast cancer patients; Annals New York Academy of Sciences; pp. 571-575; May 2000. |
| Cornish, B.H. et al.; Quantification of Lymphoedema using Multi-frequency Bioimpedance; Applied Radiation and Isotopes; vol. 49, No. 5/6, pp. 651-652; 1998. |
| De Lorenzo et al.; Determination of Intracellular Water by Multifrequency Bioelectrical Impedance; Ann. Nutr. Metab.; vol. 39, pp. 177-184; 1995. |
| De Luca, F. et al., Use of low-frequency electrical impedance measurements to determine phospoholipid content in amniotic fluid; Physics in Medicine and Biology, vol. 41, pp. 1863-1869, 1996. |
| Deurenberg, P. et al., Multi-frequency bioelectrical impedance: a comparison between the Cole-Cole modelling and Hanai equations with the classically impedance index approach, Annals of Human Biology, vol. 23, No. 1, pp. 31-40, 1996. |
| Dines K.A. et al.; Analysis of electrical conductivity imaging; Geophysics; vol. 46, No. 7, pp. 1025-1036; Jul. 1981. |
| Edwards, L.S.; A Modified Pseudosection for Resistivity and IP; Geophysics; vol. 42, No. 5, pp. 1020-1036; 1977. |
| Ellis, K.J. et al.; Human hydrometry: comparison of multifrequency bioelectrical impedance with 2H2O and bromine dilution; Journal of Applied Physiology; vol. 85, No. 3, pp. 1056-1062; 1998. |
| Ezenwa, B.N. et al.; Multiple Frequency System for Body Composition Measurement; Proceedings of the Annual International Conference of the Engineering in Medicine and Biology Society; vol. 15; pp. 1020-1021; 1993. |
| Fenech, et al.; Extracellular and Intracellular Volume Variations During Postural Change Measured by Segmental and Wrist-Ankle Bioimpedance Spectroscopy; IEEE Transactions on Biomedical Engineering; IEEE Service Center; vol. 51, No. 1, pp. 166-175, 2004. |
| Forslund, A.H. et al.; Evaluation of modified multicompartment models to calculate body composition in healthy males; American Journal of Clinical Nutrition; vol. 63, pp. 856-862; 1996. |
| Gersing, E.; Impedance spectroscopy on living tissue for determination of the state of Organs; Bioelectrochemistry and Bioenergetics; vol. 45, pp. 145-149; 1998. |
| Gerth, W.A. et al.; A computer-based bioelectrical impedance spectroscopic system for noninvasive assessment of compartmental fluid redistribution; Third Annual IEEE Symposium on Computer Based Medical Systems, Jun. 3-6, 1990, University of NC. At Chapel Hill; pp. 446-453; Jun. 1990. |
| Golden, et al.; Assessment of Peripheral Hemodynmics using Impedance Plethysmogrphy; Physical Therapy ; vol. 66, No. 10, pp. 1544-1547; 1986. |
| Gudivaka R. et al.; Single- and multifrequency models for bioelectrical impedance analysis of body water compartments; Applied Physiology; vol. 87, Issue 3, pp. 1087-1096; 1999. |
| Hansen, E.; On the Influence of Shape and Variations in Conductivity of the Sample on Four-Point Measurements; Applied Scientific Research; Section B; vol. 8, Issue 1, pp. 93-104 1960. |
| Iacobellis, G., et al. Influence of Excess Fat on Cardiac Morphology and Function: Study In Uncomplicated Obesity, (2002) Obesity Research, vol. 10, pp. 767-773. |
| Igel, J.; On the Small-Scale Variability of Electrical Soil Properties and Its Influence on Geophysical Measurements; Ph.D. Thesis; Frankfurt University; Hanover, Germany; p. 188; 2007. |
| Ivorra, A., et al.; Bioimpedance Dispersion Width as a Parameter to Monitor Living Tissues; Physiological Measurement; vol. 26; pp. 1-9; 2005. |
| Jones, C.H. et al; Extracellular fluid volume determined by bioelectric impedance and serum albumin in CAPD patients; Nephrology Dialysis Transplantation; vol. 13, pp. 393-397; 1998. |
| Jossinet, J. et al.; A Study for Breast Imaging with a Circular Array of Impedance Electrodes; Proc. Vth Int. Conf. Bioelectrical Impedance, 1981, Tokyo, Japan; pp. 83-86; 1981. |
| Jossinet, J. et al.; Technical Implementation and Evaluation of a Bioelectrical Breast Scanner; Proc. 10.sup.th Int. Conf. IEEE Engng. Med. Biol., 1988, New Orleans, USA (Imped. Imaging II); vol. 1. p. 289; 1988. |
| Kanai, H. et al.; Electrical Measurement of Fluid Distribution in Legs and Arms; Medical Progress through technology; pp. 159-170; 1987. |
| Karason, K., et al., Impact of Blood Pressure and Insulin on the Relationship Between Body Fat and Left Ventricular Structure, (2003) European Heart Journal, vol. 24, pp. 1500-1505. |
| Kim, C.T. et al.; Bioelectrical impedance changes in regional extracellular fluid alterations; Electromyography and Clinical Neurophysiology; vol. 37, pp. 297-304; 1997. |
| Kim, et al.; Impedance Tomography and its Application in Deep Venous Thrombosis Detection ; IEEE Engineering in Medicine and Biology Magazine; IEEE Service Center; vol. 8, No. 1, pp. 46-49; 1989. |
| Kyle et al.; Bioelectrical Impedance Analysis—Part I: Review of Principles and Methods; Clinical Nutrition; vol. 23, pp. 1226-1243; 2004. |
| Liu R. et al.; Primary Multi-frequency Data Analyze in Electrical Impedance Scanning; Proceedings of the IEEE-EMBS 2005, 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai, China; pp. 1504-1507; , Sep. 1-4, 2005. |
| Locus, www.dictionary.com, printed Nov. 21, 2016 (6 pages). |
| Loke et al.; Least Squares Deconvolution of Apparent Resistivity Pseudosections; Geophysics; vol. 60, No. 6, pp. 1682-1690; 1995. |
| Lozano, A. et al.; Two-frequency impedance plethysmograph: real and imaginary parts; Medical & Biological Engineering & Computing; vol. 28, No. 1, pp. 38-42; Jan. 1990. |
| Lukaski, H.C. et al.; Estimation of Body Fluid Volumes Using Tetrapolar Bioelectrical Impedance Measurements; Aviation, Space, and Environmental Medicine; pp. 1163-1169; Dec. 1998. |
| Man, B. et al. Results of Preclinical Tests for Breast Cancer Detection by Dielectric Measurements; XII Int. Conf. Med. Biol. Engng. 1979, Jerusalem, Israel. Springer Int., Berlin; Section 30.4; 1980. |
| Mattar, J.A., Application of Total Body Impedance to the Critically Ill Patient, New Horizons, vol. 4, No. 4, pp. 493-503, 1996. |
| McAdams et al; Tissue Impedance: a Historical Overview Physiological Measurement; Institute of Physics Publishing; vol. 16. (3A), pp. A1-A13; 1995. |
| McCullah, et al.; Bioelectrical Impedance Analysis Measures the Ejection Fraction of the Calf Muscle Pump 2007. |
| McDougal D., et al.; Body Composition Measurements From Whole Body Resistance and Reactance; Surgical Forum; vol. 36, pp. 43-44; 1986. |
| McEwan et al.; Battery Powered and Wireless Electrical Impedance Tomography Spectroscopy Imaging Ssing Bluetooth; Medicon IFMBE Proceedings; vol. 16, pp. 798-801; 2007. |
| Moissl, et al., Body fluid volume determination via body composition spectroscopy in health and disease, Physiol. Meas., 2006, vol. 27, pp. 921-933. |
| Nawarycz, et al.; Triple-frequency Electroimpedance Method for Evaluation of Body Water Compartments; Medical & Biological Engineering & Computing; vol. 34, No. Supp. 01, Pt. 02, pp. 181-182; 1996. |
| Noshiro, et al.; Electrical Impedance in the Lower Limbs of Patients with Duchenne Muscular Dystrophy: A Preliminary Study; Medical & Biological Engineering & Computing; vol. 31, No. 2 , pp. 97-102; 1993. |
| Organs; Bioelectrochemistry and Bioenergetics; vol. 45, pp. 145-149; 1998. |
| Osterman K.S. et al.; Multifrequency electrical impedance imaging: preliminary in vivo experience in breast; Physiological Measurement; vol. 21, No. 1, pp. 99-109; Feb. 2000. |
| Ott, M. et al.; Bioelectrical Impedance Analysis as a Predictor of Survival in Patients with Human Immunodeficiency Virus Infection; Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology; vol. 9, pp. 20-25; 1995. |
| Pethig, R. et al.; The Passive Electrical Properties of Biological Systems: Their Significance In Physiology, Biophysics and Biotechnology; Physics in Medicine and Biology; vol. 32, pp. 933-970; 1987. |
| Piperno, G. et al.; Breast Cancer Screening by Impedance Measurements; Frontiers of Medical & Biological Engineering; vol. 2, pp. 111-117; 1990. |
| Rigaud, B. et al.; Bioelectrical Impedance Techniques in Medicine; Critical Reviews in Biomedical Engineering; vol. 24 (4-6), pp. 257-351; 1996. |
| Roy, A.; Depth of investigation in Direct Current Methods Geophysics; vol. 36, pp. 943-959 ; 1971. |
| Scharfetter, H. et al.; Effect of Postural Changes on the Reliability of Volume Estimations from Bioimpedance Spectroscopy Data; Kidney International; vol. 51, No. 4, pp. 1078-2087; 1997. |
| Schneider, I.; Broadband signals for electrical impedance measurements for long bone fractures; Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE; vol. 5, pp. 1934-1935; Oct. 31, 1996. |
| Seo, et al.; Measuring Lower Leg Swelling: Optimum Frequency for Impedance Method; Medical & Biological Engineering & Computing ; vol. 39, pp. 185-189; 2001. |
| Seoane, et al.; Current Source for Wideband Electrical Bioimpedance Spectroscopy Based on a Single Operational Amplifier; World Congress on Medical Physics and Biomedical Engineering; vol. 14, pp. 707-710; 2006. |
| Skidmore, R. et al.; A Data Collection System for Gathering Electrical Impedance Measurements from the Human Breast; Clinical Physics Physiological Measurement; vol. 8, pp. 99-102; 1987. |
| Smith, et al.; A Pilot Study for Tissue Characterization Using Bio-impedance Mapping; 13th International Conference on Electrical Bio-impedance and the 8th Conference on Electrical Impedance Tomography; pp. 146-149; 2007. |
| Sollish, B.D. et al.; Microprocessor-assisted Screening Techniques; Israel Journal of Medical Sciences; vol. 17, pp. 859-864; 1981. |
| Stanton, et al.; Non-invasive Assessment of the Lymphedematous Limb; Lymphology, The International Society of Lymphology; vol. 33, No. 3, pp. 122-135; 2000. |
| Steijaert, M. et al.; The use of multi-frequency impedance to determine total body water and extracellular water in obese and lean female individuals; International Journal of Obesity; vol. 21, pp. 930-934; 1997. |
| Surowiec, A.J. et al.; Dielectric Properties of Brest Carcinoma and the Surrounding Tissues; IEEE Transactions on Biomedical Engineering; vol. 35, pp. 257-263; 1988. |
| Tedner, B.; Equipment Using Impedance Technique for Automatic Recording of Fluid-Volume Changes During Haemodialysis; Medical & Biological Engineering & Computing; pp. 285-290; 1983. |
| Thomas. B.J. et al.; Bioelectrical impedance analysis for measurement of body fluid volumes—A review; Journal of Clinical Engineering; vol. 17, No. 16, pp. 505-510; 1992. |
| Thomas. B.J. et al.; Bioimpedance Spectrometry in Determination of Body Water Compartments: Accuracy and Clinical Significance; Applied Radiation and Isotopes; vol. 49, No. 5/6, pp. 447-455; 1998. |
| Thomas. B.J.; Future Technologies; Asia Pacific Journal Clinical Nutrition; vol. 4, pp. 157-159; 1995. |
| Ulgen, Y. et al.; Electrical parameters of human blood; Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE; vol. 6, pp. 2983-2986; Nov. 1, 1998. |
| Wang, et al., Hydration of fat-free body mass: new physiological modeling approach, Am. J. Physiol. Endocrinol. Metab., 1999, vol. 276, pp. E995-E1003. |
| Ward, L.C. et al., Multi-frequency bioelectrical impedance augments the diagnosis and management of lymphoedema in post-mastectomy patients, European Journal of Clinical Investigation, vol. 22, pp. 751-754, 1992. |
| Ward, L.C. et al.; Determination of Cole parameters in multiple frequency bioelectrical impedance analysis using only the measurement of impedances; Four-frequency fitting; Physiological Measurement; vol. 27, No. 9, pp. 839-850; Sep. 2006. |
| Ward, L.C. et al.; There is a better way to measure Lymphoedema; National Lymphedema Network Newsletter; vol. 7, No. 4, pp. 89-92; Oct. 1995. |
| Ward, et al., Cole Modelling of multiple frequency impedance data for body composition analysis, International Journal of Body Composition Research, 2006, vol. 4, No. 4, pp. 185-189. |
| Wilson et al.; Feasibility Studies of Electrical Impedance Spectroscopy for Monitoring Tissue Response to Photodynamic Therapy; Optical Methods for Tumor Treatment and Detections: Mechanisms and Techniques in Photodynamic Therapy VII; Proc. SPIE 3247; pp. 69-80; 1998. |
| Woodrow, G. et al; Effects of icodextrin in automated peritoneal dialysis on blood pressure and bioelectrical impedance analysis; Nephrology Dialysis Transplantation; vol. 15, pp. 862-866; 2000. |
| Yamakoshi, K.; Non-Invasive Cardiovascular Hemodynamic Measurements; Sensors in Medicine and Health Care; pp. 107-160; 2004. |
| Yoshinaga, M., Effect of Total Adipose Weight and Systemic Hypertension on Left Ventricular Mass in Children, American Journal of Cardiology, (1995) vol. 76, pp. 785-787. |
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