Abstract: Embodiments of the present disclosure are configured to assess the severity of a blockage in a vessel and, in particular, a stenosis in a blood vessel. In some particular embodiments, the devices, systems, and methods of the present disclosure are configured to provide FFR measurements in a small, compact device that integrates with existing proximal and distal pressure measurement systems and does not require a separate power source.

Abstract: A portable system is provided for measuring a ketone, such as an acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding ketone measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the ketone measurements, and may include various features for facilitating the analysis of the measurements.

Abstract: An implantable device includes one or more electrodes to sense an electrical signal from a brain and a waveform analyzer to identify a half wave in the electrical signal; determine an amplitude and a duration of the half wave; determine if the amplitude satisfies a half wave amplitude criterion defined by a set of amplitude parameters comprising a minimum half wave amplitude and a maximum half wave amplitude; determine if the duration satisfies a half wave duration criterion defined by a set of duration parameters comprising a minimum half wave duration and a maximum half wave duration; and identify the half wave as a qualified half wave when the half wave amplitude criterion and the half wave duration criterion is satisfied. A neurological event may be detected based on one or more qualified half waves and electrical stimulation therapy may be delivered to the brain in response to the detection.

Abstract: A closed loop, neural activity triggered rehabilitation device and method are provided for facilitating recovery of a patient from the effects of a sensory motor disability. The device includes a sensor system positionable adjacent the brain of the patient. The sensor system detects neural signals. A functional stimulation component is operatively connectable to at least one body part, such as a muscle or a nerve. The functional stimulation component stimulates the at least one body part in response to the neural signals detected. A sensory stimulation module is operatively connected to the patient to provide sensory feedback thereto.

Abstract: A wound dressing device with reusable electronics for wireless monitoring and a method of making the same are provided. The device can be a smart device. In an embodiment, the device has a disposable portion including one or more sensors and a reusable portion including wireless electronics. The one or more sensors can be secured to a flexible substrate and can be printed by non-contact printing on the substrate. The disposable portion can be removably coupled to the one or more sensors. The device can include one or more sensors for wireless monitoring of a wound, a wound dressing, a body fluid exuded by the wound and/or wearer health.

Abstract: Systems and method for classifying EEG signals of a human subject generated responsive to a series of images containing target images and non-target images. The EEG signals are in a spatio-temporal representation. The time points are classified independently, using a linear discriminant classifier, to compute spatio-temporal discriminating weights that are used to amplify the spatio-temporal representation, to create a spatially-weighted representation. Principal Component Analysis is used on a temporal domain for dimensionality reduction, separately for each spatial channel of the signals, to create a projection, which is applied to the spatially-weighted representation onto a first plurality of principal components, to create a temporally approximated spatially weighted representation.

Abstract: Subject matter disclosed herein relates to a method and/or system for tailoring insulin therapies to physiological characteristics of a patient. In particular, observations of a blood glucose concentration of a patient responsive to a meal profile and an insulin profile may be used for estimating one or more physiological parameters.

Abstract: An example method for performing pulse oximetry can commence with receiving at least three light signals of three different wavelengths reflected from a human tissue. The human tissue includes a pulsatile tissue and a non-pulsatile tissue. Based on the three light signals, values of at least three functions are determined. The three functions are invariant to an oxygen saturation in the pulsatile tissue and depend on location of a sensor operable to detect the three light signals and pressure of the sensor on the human tissue. Based on the values of the three functions, non-pulsatile components are analyzed for intensities of a red light signal and infrared light signal reflected from the human tissue. The non-pulsated components are removed from the intensities to allow correct estimates of a ratio of the absorption coefficients, with the ratio being used to determine the oxygen saturation in the pulsatile tissue.

Abstract: Systems and methods measure impedance across a user's chest during respiration to determine a rate of respiration. With AC-modulation contacts separated from impedance-measuring contacts, analog filtering to remove EMI, a bridging capacitor to remove DC noise, and digital filtering to further remove EMI, a user's respiration may be measured with the AC-modulation contacts and the impedance-measuring contacts placed at user extremities.

Abstract: A system and method for monitoring and/or controlling a state of consciousness of a subject experiencing anesthesia are provided. In some aspects, the system includes a plurality of sensors placed about the subject and configured to acquire electroencephalogram (“EEG”} data therefrom while the subject is receiving anesthesia, and at least one processor configured to receive the EEG data from the plurality of sensors, and perform a phase-amplitude coupling analysis using the received EEG data to determine a phase-amplitude frequency distribution. The at least one processor is also configured to identify a state of consciousness of the subject using the determined phase-amplitude frequency distribution, and generate a report indicative of the state of consciousness of the subject.

Abstract: A sensor circuit usable with capacitive sensors in an electrical potential sensing network is provided. The sensor circuit provides bias current while maintaining a high input impedance for signals in a frequency band of interest by positive feedback of a filtered measurement through a finite impedance. The sensor circuits are suited for technologies such as, but not limited to electroencephalography (EEG), electromyography (EMG) and electrocardiograms (ECG). A neurofeedback system utilizing the capacitive conduction sensor is also described.

Abstract: Systems and methods for processing neural signals are provided. A neural data analysis system may comprise a feature extraction module configured to extract a plurality of features from neural signal waveforms obtained by an implanted neural interface probe with a plurality of channels or electrodes, and transmit the extracted features as a plurality of discrete outputs. The neural data analysis system may also comprise a feature-event coalescence module configured to receive the plurality of discrete outputs from the feature extraction module, and construct a model-based inference of bioelectric activity based on feature event statistics, prior knowledge of bioelectric signals, and/or a behavioral model of the feature extraction module.

Abstract: A method of diagnosis. The method can include the steps of sampling the breathing of a patient and from the sampling, obtaining a waveform corresponding to a pattern of the breathing of the patient in which the waveform is a repetitive waveform that is indicative of a carbon dioxide concentration in air expired by the patient. The method can also include the steps of processing the waveform to obtain a set of data that reflects the carbon dioxide concentration in the expired air and based on the processing of the waveform, detecting a potential adverse respiratory event in the patient.

Abstract: A biosensor having a hollow coil having wires coiled in parallel and an electronic circuit component operably connected to the coil, wherein the wires include at least a first coiled wire which may be used as a counter electrode, a second coiled wire which may be used as a working electrode and a third coiled wire which may be used as a reference electrode, wherein the second coiled wire is provided with a biocompatible layer having a bioreceptor, wherein the electronic circuit component is capable of generating an input signal for a transceiver based upon the activity of the bioreceptor and wirelessly sending the input signal to the transceiver, wherein the electronic circuit component is encapsulated in a biocompatible resin.

Abstract: When a brain fingerprint is detected, a predetermined visual stimuli is output on a screen of a display, causal connectivity formed by unique EEG signals of a subject between two or more brain regions from among a predetermined plurality of brain regions is detected on the basis of the EEG signals of the subject who selectively attends to a part corresponding to a letter or symbol conceived by the subject from among the visual stimuli output on the screen of the display, an activation pattern of causal connectivity between brain regions is recognized on the basis of the detected causal connectivity, and the subject is identified by using the recognized unique activation pattern of causal connectivity between brain regions as a brain fingerprint.

Abstract: Methods and systems are disclosed analyzing a glucose level of a person having diabetes. The method, in at least one example, comprises receiving into a computing device a plurality of measured glucose values from a continuous glucose monitoring system coupled to a person having diabetes, analyzing the plurality of measured glucose values with a probability analysis tool on the computing device to determine a glucose threshold (gI0), and a boundary glucose value (g?) at a probability threshold where the person having diabetes requires at least a predetermined insulin dose, and comparing, with the computing device, the boundary glucose value (g?) to the glucose threshold (gI0), wherein if the boundary glucose value (g?) is greater than the glucose threshold (gI0) then the computing device performs an alert on a user interface.

Abstract: A method of monitoring a patient for seizure activity may include detecting portions of elevated electromyography signal amplitude and analyzing whether the elevations meet one or characteristics of either an epileptic seizure or non-epileptic psychogenic event.

Abstract: A device includes: a controller that converts a pressure value detected by a pressure detector into visual or aural lingual pressure information changed depending on a magnitude of the pressure value; and an information output unit, such as a buzzer and a color display LED, that outputs the lingual pressure information in response to a signal from the controller. The information output unit outputs lingual pressure information different depending on a pressing force applied on an elastic balloon by a tongue, allowing users such as patients and elderly people to continue a training without being bored.

Abstract: A system and method for monitoring body chemistry of a user, the system comprising: a housing supporting: a microsensor comprising a first and second working electrode, a reference electrode, and a counter electrode, and configured to access interstitial fluid of the user, and an electronics subsystem comprising a signal conditioning module that receives a signal stream, from the microsensor, wherein the electronics subsystem is configured to detect an impedance signal derived from two of the first working electrode, the second working electrode, the reference electrode, and the counter electrode; and a processing subsystem comprising: a first module configured to generate an analysis indicative of an analyte parameter of the user and derived from the signal stream and the impedance signal, and a second module configured to transmit information derived from the analysis to the user, thereby facilitating monitoring of body chemistry of the user.

Abstract: Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events.