26 results about "Bio potential" patented technology

Apparatus and methods detect sleep staging events. The apparatus (100) may be configured to obtain a facial biopotential signal measured between two electrodes connected to a user's face, which may be configured to form a transverse-ocular measurement vector. The biopotential signal may be measured by a biopotential measurement device comprising the two electrodes. The apparatus (100, 200) may be configured to derive, from the facial biopotential signal, a plurality of biosignals suggestive of sleep staging events. The apparatus may be configured to classify individual segments of the plurality of biosignals as belonging to one of a plurality of sleep stating events. The classification may involve using a trained machine learning model, such as a recurrent neural network, to predict sleep staging events for different segments or epochs of the plurality of biosignals.

Systems and methods for gesture control are described. In some embodiments, a system for assessing a physiological state of a user. The system may include the wearable device comprising one or more electrodes configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined. The first timestamp may indicate a first time at which a stimulus is presented to the user. A second timestamp indicating a second time at which the biopotential signals indicate an intention by the user to perform a responsive action may be determined. Based at least on the first timestamp and the second timestamp, determine a subject response time for the user. The subject response time may be compared to a baseline response time for the user to generate an assessment of a physiological state of the user.

Sensing an evoked response to electrical stimulation of target tissue of a patient in conjunction with an intra-luminal electrode. The intra-luminal electrode may be implanted in a blood vessel or similar lumen proximal to the target tissue and the sensed signals and / or delivered stimulation may pass through the blood vessel. or other lumen, walls. In some examples the evoked response may be an evoked compound action potential (ECAP), which may also be evoked resonant neural activity (ERNA). The electrical stimulation may elicit a measurable response indicative of a thought pattern or neural state that would otherwise be undetectable using a non-evoked biopotential.

To provide a biopotential measurement device that can stably connect electrode sheets and devices, regardless of dimensional variations, warping, or tilting. [Solution] The biopotential measuring device 1 comprises an electrode sheet 10 for acquiring biological signals, a device 20 having a contact portion 21 connected to the electrode sheet 10, and a substrate portion 22 electrically connected to the electrode sheet 10 via the contact portion 21, wherein the contact portion 21 is provided with a spring-movable movable terminal 40 at least one end on the electrode sheet 10 side.

An embodiment includes a sensor device including an amplifier configured to amplify a biopotential detected by an electrode, a transmitter configured to modulate a carrier wave according to the biopotential and transmit the modulated signal wirelessly to the other sensor device, a receiver configured to demodulate the modulated signal transmitted from the other sensor device and extract information on the biopotential, a reference potential generator configured to generate a reference potential of the amplifier, and a correction circuit configured to correct an oscillation frequency of a voltage-controlled oscillator used for demodulation by the receiver.

A clinical evaluation system and method are disclosed that facilitate the use of one or more conduction deviation features or parameters determined from biophysical signals such as cardiac or biopotentials signals. Conduction derivation features or parameters may include VD conduction derivation features or parameters and / or VD conduction derivation Poincaré features or parameters. The conduction derivation features or parameters can be used in a model or classifier (e.g., a machine-learned classifier) to estimate metrics associated with the physiological state of a patient, including for the presence or non-presence of a disease, a medical condition, or an indication of either. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and / or severity and / or localization of diseases or conditions or in the treatment of said diseases or conditions.

A machine learning-enhanced cardiac electronic skin system comprises a breathable cardiac electronic skin (BreaCARES) device configured to be worn on a user's skin, an electronic device, and a server. The BreaCARES device comprises liquid metal (LM) circuits comprising biopotential electrodes for contacting the user's skin, a biopotential sensing chip configured to sample electrocardiogramaignals at a predetermined frequency via the biopotential electrodes, and a microcontroller unit (MCU) communicatively coupled to the biopotential sensing chip for receiving the ECG signals from the biopotential sensing chip. The electronic device is configured to receive the ECG signals from the BreaCARES device and generate real-time visual representations of the ECG signals. The server is configured to process the ECG signals using a deep neural network (DNN) trained for cardiac event classification.

Disclosed are medical devices for sensing bioelectrical potential including an electroencephalography (EEG) headset, electrodes compatible therewith, and methods of operation thereof. The headset can comprise a left junction and a right junction, a plurality of length-adjustable bands connecting the left junction and the right junction, and a number of electrodes. Each of the electrodes can comprise an electrode body coupled to one of the plurality of length-adjustable bands and a detachable electrode tip configured to be detachably coupled to the electrode body. The electrode tip can comprise an electrode tip body, one or more deflectable electrode legs coupled to the electrode tip body, and a conductive cushioning material coupled to a segment of at least one of the one or more electrode legs. The conductive cushioning material can retain or be saturated with one or more conductors.

Systems, devices, and methods for electrophysiological recording from the eye are disclosed herein. An electroretinography device can detect a biopotential signal from an eye of a subject and transmit the same to a processor. Embodiments of the present technology include one or more features directed to improving the use and operability of an electroretinography device. For example, the device can include features for (i) improving the quality of light stimulus delivered to the eye or (ii) providing a better fit around the eye or a contact lens worn on the eye. These features can account for anatomical differences between different subjects by either masking or accommodating such differences.

Systems and methods for gesture control are described. In some embodiments, a system for assessing a physiological state of a user. The system may include the wearable device comprising one or more sensors configured to be disposed adjacent to an external surface of the skin portion. A first timestamp may be determined. The first timestamp may indicate a first time at which a stimulus is presented to the user. A second timestamp, which indicates a second time at which physiological data indicates a responsive action of the user, may be determined. Based at least on the first timestamp and the second timestamp, determine a subject response time for the user. The subject response time may be compared to a baseline response time for the user to generate an assessment of a physiological state of the user.

A device for controlling percutaneously extracellular impedance according to an aspect of the present disclosure includes a terminal pair to which an electrode pair is to be connected, the electrode pair being attached to a subject's body surface to capture a subject's bioelectrical potential, wherein the device adds negative impedance of which resistance and reactance components are adjustable to the electrode pair via the terminal pair.

Methods and systems for ground tracking and current compensation for biosensing systems are described. An example wearable device includes a wearable structure configured to be worn by a user with a first electrode at a first position on an interior surface of the wearable structure, the first electrode configured to detect biopotential signals of the user, and a second electrode at a second position on the interior surface. The wearable device also includes a compensation circuit comprising a closed-loop amplifier and configured to measure a difference between a ground potential of the wearable device and a body potential of the user using data from the first electrode, generate a compensation current to compensate for the difference in processing of the biopotential signals detected by the first electrode, and apply the compensation current to the body of the user via the second electrode.

The application provides a microbial potential sensor and application thereof in water quality early warning. The microbial potential sensor comprises a cathode chamber, a biological anode chamber, one end of the same electrode is arranged in the cathode chamber as a cathode, the other end of the electrode is arranged in the biological anode chamber as an anode, a reference electrode arranged in the cathode chamber, and a preparation method of the microbial potential sensor and a water quality early warning method are provided. The potential is increased through a cathode reaction, the potential is reduced through an anode reaction, and water quality change is represented through the change of the cathode potential.

A method includes receiving bio-potential inputs; generating signal channels from the bio-potential inputs; pre-processing data in the signal channels; extracting R-wave peaks from the pre-processed data; removing artifacts and outliers from the R-wave peaks; generating R-wave signal channels based on the R-wave peaks in the pre-processed signal channels; selecting two or more of the R-wave signal channels; and combining the selected two or more R-wave signal channels to produce an electrical uterine monitoring signal.

A machine learning enhanced cardiac electronic skin system includes: a breathable cardiac electronic skin (BreaCARES) device configured to be worn on the skin of a user; an electronic device; and a server. The BreaCARES device comprises: a liquid metal (LM) circuit comprising a biopotential electrode for contacting the skin of a user; a biopotential sensing chip configured to sample an electrocardiogram (ECG) signal at a predetermined frequency through the biopotential electrode; and the microcontroller unit (MCU) is in communication connection with the biopotential sensing chip so as to receive the ECG signal from the biopotential sensing chip. The electronic device is configured to receive an ECG signal from a BreaCARES device, and to generate a real-time visual representation of the ECG signal. The server is configured to process ECG signals using a deep neural network (DNN) trained for cardiac event classification.

The invention provides a power supply and an aerosol generating device, and belongs to the field of aerosol generating devices. The power supply comprises a shell, a heart rate detector and a plurality of detection electrodes, the shell comprises a holding face used for holding, the detection electrodes are arranged on the shell and protrude out of the holding face, the heart rate detector is located in the shell and electrically connected with the detection electrodes, and the detection electrodes are electrically connected with the shell. The heart rate determining module is used for determining the heart rate according to biopotential measured values obtained by the multiple detection electrodes. When a user holds the power supply, the plurality of detection electrodes are in contact with the hand skin of the user to obtain biopotential measurement values of different parts of the hand skin. The detection electrode protrudes out of the holding surface, so that the detection electrode can abut against the hand skin in the holding process, the biopotential measurement value can be more accurately obtained, and the heart rate detector can more accurately determine the heart rate of a user according to the obtained biopotential measurement value; the user can accurately know the heart rate of the user in the process of using the aerosol generating device.

An example a wrist-wearable device, comprises a capsule that includes an electromyography (EMG) sensor configured to provide biopotential information of a user for determining a movement of the user. The capsule includes a photoplethysmogram (PPG) sensor configured to provide information for determining a heart rate of the user. The biopotential information and information for determining the heart rate of the user is received simultaneously, and sensing of the biopotential information does not alter the information for determining heart rate of the user, and sensing of the information for determining the heart rate of the user does not alter the biopotential information.

An embodiment is a biosignal measurement system including a plurality of electrode devices, each including an electrode, an amplifier configured to amplify a biopotential measured via the electrode, a quantization circuit configured to convert the biopotential amplified by the amplifier into digital data to generate biopotential information, and a wireless transmitter configured to transmit the biopotential information. The biosignal measurement system further including a biosignal generation device including a wireless receiver configured to receive the biopotential information transmitted from plurality of electrode devices, and an arithmetic circuit configured to generate a biosignal waveform using the biopotential information obtained in at least two of the plurality of electrode devices.

Methods and systems for ground tracking and current compensation for biosensing systems are described. In one aspect, a wearable device includes a wearable structure configured to be worn by a user, the wearable structure having an interior surface and an exterior surface, the interior surface being configured to face a user's skin while the wearable device is being worn by the user. The wearable device further includes an electrode at a first position on the interior surface, the electrode configured to detect biopotential signals of the user; and a reference electrode at a second position on the interior surface. The wearable device is configured to (i) measure, via the reference electrode, a difference between a ground potential of the wearable device and a body potential of the user, and (ii) compensate for the difference in processing of the biopotential signals detected by the electrode.

To provide an improved system for mapping cardiac electrical activity.SOLUTION: A system for modeling cardiac electrical activity data of a patient includes at least one diagnostic catheter for insertion into a heart of the patient and a processing unit. The at least one diagnostic catheter includes at least one recording element and records patient data over multiple cardiac cycles. The patient data includes biopotential data and localization data of the at least one recording element. The processing unit includes a clustering routine that segments the recorded patient data by cardiac cycle and combines the segmented patient data in each segmented data group to create one or more composite records. The system generates one or more models of the patient's cardiac electrical activity based on the one or more composite records.SELECTED DRAWING: Figure 1

A head stage designed for non-surgical placement of EEG electrodes in small animals is disclosed. The head stage is connected to thin barbed pin electrodes of multiple lengths, such that they can be placed into the brain at the chosen depth. A miniature device comprising a wireless transmitter or data logger can be attached using magnets or connectors to the stage. When the head stage is placed on the head of a small animal and pressure is applied on the stage, the set of pin electrodes penetrate the skull, such that the stage becomes firmly fixed to the skull. Further, the device includes electrodes on its body that eliminate the need of wires for EEG recordings. When the capsule including sharp electrodes is pressed toward the skull, the electrodes penetrate the bone and fixes the capsule onto the skull for recording biopotential signals from the brain.

Systems and methods for detecting a physiological response to neuronal activation include a wearable device configured to be worn on a portion of an arm of a user. The wearable device includes a plurality of electrodes configured to detect biopotential signals from the user's arm and a processor coupled to the plurality of electrodes. The processor is configured to analyze biopotential data derived from the biopotential signals to determine an activation level of the user and generate an output indicating the activation level of the user. The system may include additional sensors such as an inertial measurement unit, a photoplethysmography sensor, a galvanic skin response sensor, a temperature sensor, an electrocardiogram sensor, and an ambient light sensor to provide complementary data for analysis. The processor may classify the activation level, trigger actions based on the determined level, and correlate the activation level with cognitive performance.

A clinical evaluation system and method are disclosed that facilitate the use of one or more morphologic atrial depolarization waveform-based features or parameters determined from biophysical signals such as cardiac or biopotential signals that are acquired, in preferred embodiments, non-invasively from surface sensors placed on a patient while the patient is at rest. Morphologic atrial depolarization waveform-based features or parameters can be used in a model or classifier to estimate metrics associated with the physiological state of a patient, including the presence or non-presence of a disease, medical condition, or an indication of either. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and / or severity and / or localization of diseases or conditions or in the treatment of said diseases or conditions.

There is a need for technology that can acquire information about the activity of living organisms or nerves connected to living organisms, as well as information transmitted from living organisms to nerves, from various action potentials, including those of muscles. [Solution] The disclosed technology may be an action potential generation location detection device. The disclosed device measures biopotentials with multiple electrodes, obtains multiple digital signals by sampling each of the multiple biopotential signals obtained from the measurement at a sampling frequency higher than the frequency of the action potential, and can determine the generation location of the action potential from the multiple digital signals.

A biosignal measurement device able perform measurement at a suitable portion corresponding to the biosignal to be measured, that is, a biosignal measurement device to be worn by a user, comprising at least one earpiece housing 12 having a biopotential sensor and a board housing 16 having a photoelectric sensor 24 for acquiring a biosignal other than the biopotential as bioinformation, the earpiece housing 12 and board housing 16 being attached at separate portions of the user.

A method including receiving an input data set for an expectant mother during a time window, the input data set including fetal heart rate data; completing the input data set with a missing data sample to provide a completed data set; removing a segment from the completed data set based on at least one criterion to provide a corrected data set; calculating a baseline fetal heart rate based at least on the corrected data set; detecting an event occurring during the time window based at least on at least one of the corrected data set or the baseline fetal heart rate; classifying the event as either an acceleration, a deceleration, or a baseline change based on at least one of the corrected data set or the baseline fetal heart rate; and generating an output indicative of at least the event to enable an action with respect to the expectant mother.