Abstract: The measurement of electrodermal activity (EDA) can be facilitated by a sensing surface. The sensing surface can have a plurality of electrode pairs. An electrode pair can include a first electrode and a second electrode that are electrically isolated from each other. The plurality of electrode pairs can be electrically isolated from each other. A distance between neighboring electrode pairs can be larger than a distance between the first electrode and a second electrode of each electrode pair. One or more sensors can be configured to detect contact with the sensing surface. In response to the one or more sensors detecting contact with the sensing surface, one or more electrode pairs can be selected to be activated. In response to the one or more electrode pairs being selected to be activated, the selected one or more electrode pairs can be activated.

Abstract: Systems and methods for digital reflex quantization and signature analysis. Movement of a stimulating device invoking a reflex response in an organism is captured as stimuli data. Electromyographic (EMG) of the reflex response is captured as EMG data. Movement resulting from the reflex response of a limb/appendage of the organism is captured as motion data. One or more of the stimuli data, the EMG data, and the motion data are analyzed to determine one or both of a motion signature and an EMG signature defining quantitative evaluation of the reflex response.

Abstract: A sensor device is described that includes a dry electrode, a pressure sensor, and a communication apparatus. The dry electrode is configured to be placed adjacent to a belly of a pregnant patient. The pressure sensor is coupled to the dry electrode to sense pressure within the belly. The sensed pressure indicates counts of physiological activities of a fetus within the pregnant patient over a period of time. The communication apparatus is coupled to the pressure sensor and the dry electrode. The communication apparatus is configured to transmit data characterizing the counts of the plurality of physiological activities to a cloud computing server for generating an assessment of health of the fetus.

Abstract: Methods for dynamically evaluating blood flow are provided. The method may include injecting Indocyanine Green (ICG) into the bloodstream of a patient, such that the ICG perfuses into a tissue of the patient. ICG images of the tissue may be recorded and stored, such that a user may select a range of stored ICG images. Data indicative of the selected range of stored ICG images is automatically normalized and background-filtering, and a dynamic representation of the ICG perfusion may be generated as a function of time based on the normalized and filtered data. As such, a clinical decision may be made based on the dynamic representation of the ICG perfusion.

Abstract: A method for identifying and treating a neural pathway associated with chronic pain via nerve stimulation and brain wave monitoring of a mammalian brain is described. The method includes positioning a probe to stimulate a target nerve, wherein the target nerve is suspected of being a source of chronic pain; delivering a first nerve stimulation from the probe to the target nerve, wherein the first nerve stimulation is sufficient to elicit a chronic pain response in the brain; and monitoring for evoked potential activity in the brain as a result of the first nerve stimulation. The method can also include delivering second and third nerve stimulations to confirm the correct identification of the neural pathway and to treat the chronic pain, respectively. A system and apparatus for performing a procedure to identify and treat a nerve that is the source of chronic pain are also described.

Abstract: System and method for determining breathing rate as biofeedback is provided. First biomarker, second biomarker, third biomarker and fourth biomarker is extracted by computation engine from physiological parameters associated with subject by applying pre-defined set of rules. A first value is computed by feedback unit as a function of second biomarker, third biomarker and fourth biomarker. A correlation between first value and time domain parameter of fourth biomarker and frequency domain parameter of fourth biomarker is determined. First value indicates stress level of subject. Second value is computed by maximizing time domain parameter of fourth biomarker and minimizing frequency domain parameter of fourth biomarker based on correlation. Second value indicates reduced stress level of subject. Biofeedback is transmitted by feedback unit to cue generation unit which represents quantified data determined based on second value. The quantified data is indicative of modified second biomarker.

Abstract: Embodiments of tissue monitoring and therapy systems and methods are disclosed. In some embodiments, a monitoring and therapy system comprises collecting video images of a tissue site, amplifying said video images via Eulerian Video Magnification, and determining a treatment parameter from the amplified video images detectable by Eulerian Video Magnification. If the treatment parameter differs from a threshold, an alert may be generated.

Abstract: A cognitive function evaluation device includes: an obtainment unit configured to obtain, as gait data, at least one of first data and second data, the first data indicating a sway amount of a body of a subject during walking in a first walking section from start of walking of the subject to a predetermined number of steps, and the second data indicating a sway amount of the body of the subject during walking in a second walking section in a double task state in which the subject is walking while doing a given assignment, the second walking section being after the first walking section; a calculation unit configured to calculate a feature value based on the gait data; an evaluation unit configured to evaluate a cognitive function of the subject, based on the feature value; and an output unit configured to output a result of evaluation by the evaluation unit.

Abstract: A sampling capsule is provided. The sampling capsule includes an enclosure, a sampling assembly, a sample drawing assembly and a control module. The sampling assembly includes a sample chamber arranged in the enclosure, an outer sampling port on the enclosure, a sampling tube connecting the outer sampling port and the sample chamber, and a sampling switch for opening or closing the connecting tube. The sample drawing assembly includes a sample drawing port on the enclosure and connected to the sample chamber, and a silicone plug fitted in the sample discharging port. The control module includes a microprocessor communicating with the sampling switch.

Abstract: Described herein are embodiments of methods and apparatus for diagnosing neuromuscular diseases using an impedance-EMG needle, and for generating electrical impedance images using an impedance needle. Some embodiments provide an apparatus including an impedance-EMG needle, including both EMG electrodes and impedance electrodes, to measure both active and passive electrical properties of muscle. Other embodiments provide an apparatus including an impedance needle, including a plurality of impedance electrodes to measure impedance in tissue surrounding the impedance needle to generate an electrical impedance image. Use of such methods and apparatus may be advantageous in improving the accuracy of assessing and diagnosing neuromuscular disease.

Abstract: An improved biopsy tray includes a container having bottom surface and continuous perimeter wall extending upward therefrom to form a cleaning zone which is sufficient to hold an adequate amount of fluid for cleaning a biopsy forceps, and at least one specimen bottle receiving receptacle adjacent the perimeter wall to receive and retain a specimen bottle. A method of obtaining a biopsy specimen includes employing the tray of the invention.

Abstract: Embodiments are disclosed for a method for restoring a wearable biological sensor. The method includes determining that a wearable biological marker sensor comprising a reference electrode is placed within a restoration apparatus. The restoration apparatus includes a correct reference electrode, a counter electrode, and a chloride solution. The reference electrode is in electrical contact with the correct reference electrode and the counter electrode through the chloride solution. The method additionally includes determining whether the reference electrode is degraded based on a voltage differential between the reference electrode and the correct reference electrode. The method also includes restoring the reference electrode, if the reference electrode is degraded, by applying a voltage to a circuit. The circuit includes the reference electrode and the counter electrode. Further, multiple chloride ions of the chloride solution bond with a plurality of silver atoms of the reference electrode.

Abstract: Embodiments of systems and methods for monitoring use of an orthopedic device are at least disclosed. In some embodiments, the system can include an orthopedic device, a housing, and a controller. The orthopedic device can provide support to a limb of an individual. The orthopedic device can include a magnet configured to generate a magnetic field. The housing can attach to the individual, and the housing can support a magnetometer configured to generate a signal responsive to the magnetic field. The controller can determine from the signal whether the individual is using the orthopedic device to provide support to the limb and accordingly output usage indications.

Abstract: An arrangement is provided for monitoring the plantar temperature of the foot having a platform with at least two multi-layer temperature sensitive pads that measure the temperature of a sole of a user's feet. The platform has a scanner for scanning the bottom of the user's feet that produces a digital image thereof. A printed circuit board supports remote connectivity to a mobile application that transmits the scanned digital image of the users' feet to the mobile application for storage and delivery to a physician. The arrangement includes the mobile application that provides a series of diagnostic questions and prompts to the user and is configured to transmit data including the scanned images of the user's feet to a physician.

Abstract: A technology is described for determining an intended movement from neuromuscular signals. An example method (800) includes receiving electromyography (EMG) data corresponding to single-ended channels of an electrode array (810), where EMG signals are detected by electrodes comprising the single-ended channels of the electrode array and the EMG signals are converted to the EMG data. Determining differential channel pairs for the single-ended channels of the electrode array (820) and extracting feature data from the EMG data of the differential channel pairs (830). Thereafter a feature data set is selected from the feature data of the differential channel pairs (840) and the feature data set is input to a decode model configured to correlate the feature data set to an intended movement (850). Decode output is received from the decode model indicating the intended movement (860) and the decode output is provided to a device (870).

Abstract: A reliable technology for determining the masticatory side of the user is provided. First and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of a user are acquired; a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms is calculated as a first feature value; a second feature value is calculated from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform; a third feature value is calculated from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform; a learning model is generated by associating the first, second, and third feature values with a plurality of labels; and the masticatory side of the user is determined based on first, second, and third feature values calculated from a newly acquired electromyographic waveform and the learning model.

Abstract: A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting mobility data corresponding to a user and extracting one or more low level features from the mobility data. The exemplary embodiments may further include extracting one or more clinical level features from the low level features and assessing one or more health conditions of the user based on applying one or more models to the one or more clinical level features.