A method and system for gastric stimulation and imaging for a user. The system having an array of millimeter-sized gastric seeds implanted in a stomach area of a user. Each gastric seed is ultrasonically powered and communicates using a transducer, and the transducer has a recorder to measure a bioelectrical activity in the stomach area of the user. A wearable unit (WU) is worn or carried by the user, and the WU wirelessly powers the gastric seeds. The WU wirelessly communicates with the gastric seeds, and the gastric seeds communicate a parameter to the WU based on the bioelectrical activity. Received pulses by the seeds can be used to localize the position of the seeds and guide the wireless power/data transmission in a self-image-guided manner. A processing unit (PU) wirelessly communicates with the WU, and the WU communicates the parameters from the gastric seeds to the PU.

A biometric apparatus includes a calculation device that processes first time series data from a first measuring device and second time series data from a second measuring device; a display device that displays the time series data; a trigger signal generator that generates one or more trigger signals; and an input unit, wherein the calculation device determines one or more specific intervals of the first time series data based on the one or more trigger signals; configures a classification reference for classifying time series data in the one or more specific intervals using the time series data in a first specific interval using an input signal as a trigger; classifies the second time series data for the one or more specific intervals using a result of classifying the first time series data based on the classification reference; and displays a classification result of the second time series data.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.

A device (1) for measuring congestion of the digestive tract comprises at least one housing (2), a current generator (30) and a means (31) for measuring a difference in potential, said generator and means being accommodated in said housing, and a set of electrodes (3) comprising at least two electrodes connected electrically, independently of one another, to the current generator (30) and/or to the means (31) for measuring a difference in potential across the terminals of the electrodes, each electrode of the set (3) of electrodes being configured to transmit an electric current and/or to allow a difference in electrical potential to be measured.

The set (3) of electrodes is configured to generate at least one electric current flow loop (13) flowing at least through a tissue of the gastrointestinal tract (14) of the user and to allow a difference in electrical potential in relation to the tissue of the gastrointestinal tract to be measured, the device (1) for measuring the bio-impedance of the digestive tract further comprising a calculating module (5) configured to receive the measured difference in electrical potential and to calculate a value of the bio-impedance of the digestive tract according to this measurement in relation to the tissue of the digestive tract.

Methods and systems detect a random state change in a subject in real time. Eye state changes may be identified in encephalogram brain signals, or honeybee dance patterns may be classified. Multivariate signals including state change information are received via a plurality of channels. The signals are sampled and may be filtered to remove DC components. Statistical characteristics of the signals are monitored. When the statistical characteristics exceed a threshold during a critical time interval, a potential change of state is detected. The critical time segment of the signals may be filtered to generate respective state change artifact signals. The state change artifact signals are decomposed by MEMD, and intrinsic mode functions are generated. Features are extracted from the intrinsic mode functions. These steps may be repeated while the extracted features are provided to a logistic regression classifier that is used to predict a state of the subject.

This application relates to physiological monitoring typically for health and fitness purposes. Specifically, this application targets health and fitness monitors that require low noise acquisition of low amplitude biopotential signals. The method herein allows measurement and acquisition of biopotential signals that are normally too small to resolve due to the noise floor limitations of modern low noise amplifiers. Examples of applications that this method enables include monitoring devices located in far proximity from the location in which a biopotential signal originates, such as a wrist worn cardiac monitor, or a device that needs to sense low amplitude, fine muscle or nerve activity in a localized region.

A health monitor, comprising: an electrode that includes a hydrogel composition comprising a first network that comprises at least two hydroxyl-bearing chains of a first polymer, the at least two hydroxyl-bearing polymer chains being crosslinked by crosslinks that comprise one or more boronic ester bonds; and at least one conductive additive dispersed within the composition, the electrode being configured for patient contact. Also provided are related methods.

A method and system for gastric stimulation and imaging for a user. The system having an array of millimeter-sized gastric seeds implanted in a stomach area of a user. Each gastric seed is ultrasonically powered and communicates using a transducer, and the transducer has a recorder to measure a bioelectrical activity in the stomach area of the user. A wearable unit (WU) is worn or carried by the user, and the WU wirelessly powers the gastric seeds. The WU wirelessly communicates with the gastric seeds, and the gastric seeds communicate a parameter to the WU based on the bioelectrical activity. Received pulses by the seeds can he used to localize the position of the seeds and guide the wireless power/data transmission in a self-image-guided manner. A processing unit (PU) wirelessly communicates with the WU, and the WU communicates the parameters from the gastric seeds to the PU.

Technologies and implementations for determining a respiration rate of a person from heart rate monitoring signal is disclosed.

A textile-based hydrogel electrode comprises a textile-based backing layer, a conductive structure coupled to the textile-based backing layer, and a hydrogel body in contact with at least a first portion of the conductive structure, wherein the first portion of the conductive structure and the hydrogel body form an ionic interface configured to generate an electrical signal through the conductive structure corresponding to a biopotential change proximate to the textile-based hydrogel electrode.