A61B5/369

Measuring Apparatus and Device for Measuring Changes in Chromophore Concentration
20210345909 · 2021-11-11 ·

A measuring apparatus (100) is provided for fitting to an animal body for measuring changes in concentration of a chromophore in the animal body. The measuring apparatus (100) has a plurality of devices (120). Each device (120) has a light source (122) for emitting light towards an animal body and a light detector (124) for detecting light returning from the said animal body. A device controller (126) receives signals from and sends signals to a main controller (160). The device controllers (126) of the plural devices (120) are respectively connected to a connection arrangement (150).

SYSTEMS AND METHODS FOR DETECTING AND MANAGING PHYSIOLOGICAL PATTERNS

Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

SYSTEMS AND METHODS FOR DETECTING AND MANAGING PHYSIOLOGICAL PATTERNS

Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

SYSTEM AND METHOD FOR INDIVIDUALIZING NEUROMODULATION
20210346689 · 2021-11-11 ·

A system for individualizing neuromodulation includes a neurostimulation device having a set of electrodes, and an application executing on a user device. Additionally or alternatively, the system can include any or all of: a sensor system, a head-securing mechanism, a remote server, storage, an accessory device, and any other suitable component. A method for individualizing neuromodulation includes determining a task of interest to a user; determining a user skill level associated with the task; determining a set of goals; determining an individualized neuromodulation program comprising a neurostimulation pattern; and delivering the neurostimulation pattern to the user. Additionally or alternatively, the method can include any or all of: determining user progress; displaying user progress; receiving user feedback; determining and/or adapting neuromodulation program based on user progress and/or user feedback; and any other suitable process.

ANALYSIS OF NEUROLOGICAL CONDITIONS, INCLUDING PREDICTION OF FUTURE SEIZURE EVENTS AND/OR DETECTION OF CURRENT SEIZURE EVENTS, BASED ON ANALYSIS OF BLEPHAROMETRIC DATA
20210345937 · 2021-11-11 ·

Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artifacts. Where those artifacts indicate prolonged spiking in blink calmness (for example based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.

GRAPHENE TRANSISTOR SYSTEM FOR MEASURING ELECTROPHYSIOLOGICAL SIGNALS

A graphene transistor system for measuring electrophysiological signals uses flexible epicortical and intracortical arrays of graphene solution-gated field-effect transistors (gSGFETs) to record infraslow signals alongside signals in the typical local field potential bandwidth. The graphene transistor system includes a processing unit, and at least one graphene transistor (gSGFET) a tunable voltage source connected to the drain and source terminals of the transistor (gSGFET), and at least one filter configured to acquire and split the signal from the transistor into at least a low frequency band signal and high frequency band signal, which are amplifiable with a gain value.

SYSTEMS AND METHODS FOR SEIZURE DETECTION BASED ON CHANGES IN ELECTROENCEPHALOGRAM (EEG) NON-LINEARITIES
20210345938 · 2021-11-11 · ·

A system of seizure detection including one or more processing circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal. The one or more processing circuit are configured to perform a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant, perform a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure.

SYSTEMS AND METHODS FOR SEIZURE DETECTION BASED ON CHANGES IN ELECTROENCEPHALOGRAM (EEG) NON-LINEARITIES
20210345938 · 2021-11-11 · ·

A system of seizure detection including one or more processing circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient and determine a plurality of metrics based on the EEG signal, the plurality of metrics indicating non-linear features of the EEG signal. The one or more processing circuit are configured to perform a preliminary analysis with one of the plurality of metrics, wherein the preliminary analysis indicates that the EEG signal indicates a candidate seizure or that the EEG signal is insignificant, perform a secondary analysis with one or more metrics of the plurality of metrics to determine whether the EEG signal indicates the candidate seizure or that the EEG signal is insignificant, and generate a seizure alert indicating that the EEG signal indicates the candidate seizure.

PAIN DETERMINATION USING TREND ANALYSIS, MEDICAL DEVICE INCORPORATING MACHINE LEARNING, ECONOMIC DISCRIMINANT MODEL, AND IOT, TAILORMADE MACHINE LEARNING, AND NOVEL BRAINWAVE FEATURE QUANTITY FOR PAIN DETERMINATION
20220004913 · 2022-01-06 ·

A high accuracy information extracting device construction system includes: a feature quantity extraction expression list generating unit for generating a feature quantity extraction expression list; a feature quantity calculating unit for calculating feature quantities of teacher data by means of respective feature quantity extracting expressions; a teacher data supply unit for supplying teacher data; an evaluation value calculating unit for generating information extracting expressions by means of machine learning on the basis of the calculated feature quantities of teacher data and the teacher data, and calculating evaluation values for the respective feature quantity extracting expressions; and a synthesis unit for constructing a high accuracy information extracting device using T weak information extracting parts F(X)t output from the evaluation value calculating unit 15 and confidence levels Ct corresponding thereto.

SENSOR SYSTEMS AND METHODS FOR CHARACTERIZING HEALTH CONDITIONS

A sensing system comprising a a hand-held sensing device with a vibracoustic sensor module (VSM). The VSM comprises a voice coil component comprising a coil holder supporting wire windings; a magnet component comprising a magnet supported by a frame, a magnet gap configured to receive at least a portion of the voice coil component in a spaced and moveable manner; a connector connecting the voice coil component to the magnet component, the connector being compliant and permitting relative movement of the voice coil component and the magnet component; a diaphragm configured to induce a movement of the voice coil component in the magnet gap responsive to incident acoustic waves; a housing for retaining the vibroacoustic sensor module having a handle end and a sensor end, the sensor end having an opening, the VSM positioned such that at least a portion of the diaphragm extends across the opening.