A61B5/389

Modular electroencephalograph (EEG) system
11399762 · 2022-08-02 · ·

A modular electroencephalograph (EEG) system comprises a carrier board comprising one or more electrode connectors, one or more power supplies, and one or more analog-to-digital converter (ADC) modules. Each of the ADC modules comprises multiple input channels, input signal routing, at least one instrumentation power supply, configuration switches for the at least one instrumentation power supply and the input signal routing, an ADC, a programmable gain amplifier, and an ADC communications bus. Each of the one or more ADC modules electrically connects to one of the one or more electrode connectors and one of the one or more power supplies of the carrier board. An embedded computer is configured to run a real time operating system (RTOS), wherein each ADC communications bus of the one or more ADC modules is electrically connected to the embedded computer via a serial interface.

Modular electroencephalograph (EEG) system
11399762 · 2022-08-02 · ·

A modular electroencephalograph (EEG) system comprises a carrier board comprising one or more electrode connectors, one or more power supplies, and one or more analog-to-digital converter (ADC) modules. Each of the ADC modules comprises multiple input channels, input signal routing, at least one instrumentation power supply, configuration switches for the at least one instrumentation power supply and the input signal routing, an ADC, a programmable gain amplifier, and an ADC communications bus. Each of the one or more ADC modules electrically connects to one of the one or more electrode connectors and one of the one or more power supplies of the carrier board. An embedded computer is configured to run a real time operating system (RTOS), wherein each ADC communications bus of the one or more ADC modules is electrically connected to the embedded computer via a serial interface.

Surgical equipment monitoring

Methods, systems, and apparatus for surgical equipment monitoring are disclosed. In some embodiments, an electronic health records database and a database of surgical tools is provided. At least one sensor and at least one surgical tool are used before, during, or after a surgical procedure. The at least one sensor associated with the at least one surgical tool is monitored for at least one parameter. The monitored data is compared to the expected value of that parameter for the current step in the surgical procedure from the surgical tools database. In response to determining a potential surgical complication, the system generates a notification indicating the potential surgical complication.

IN-EAR WEARABLE DEVICE
20220280051 · 2022-09-08 ·

Systems and methods for monitoring physiological parameter(s) and environmental condition(s) of a subject include an in-ear wearable apparatus. The in-ear wearable apparatus includes a housing, a controller coupled to the housing, a first plurality of physiological sensors coupled to the housing and configured to detect a plurality of physiological parameters, and at least one environmental sensor coupled to the housing and configured to detect at least one environmental condition.

METHODS AND APPARATUSES FOR LOW LATENCY BODY STATE PREDICTION BASED ON NEUROMUSCULAR DATA

The disclosed method may include receiving neuromuscular activity data over a first time series from a first sensor on a wearable device donned by a user receiving ground truth data over a second time series from a second sensor that indicates a body part state of a body part of the user, generating one or more training datasets by time-shifting at least a portion of the neuromuscular activity data over the first time series relative to the second time series, to associate the neuromuscular activity data with at least a portion of the ground truth data, and training one or more inferential models based on the one or more training datasets. Various other related methods and systems are also disclosed.

NEUROMONITORING DEVICE

The present disclosure relates to a neuromonitoring device. The neuromonitoring device may include a probe, an operation part, and a display part. The probe may include a probe head, an elastic piece, and an elastic measuring piece. The probe head may be connected to the elastic piece. The elastic measuring piece may be connected to the elastic piece and may be used to measure an elasticity value of the elastic piece and convert the elasticity value into a first electrical signal. The display part may be configured to display prompt information. The prompt information may include prompt information regarding the elasticity value determined based on the first electrical signal.

NEUROMONITORING DEVICE

The present disclosure relates to a neuromonitoring device. The neuromonitoring device may include a probe, an operation part, and a display part. The probe may include a probe head, an elastic piece, and an elastic measuring piece. The probe head may be connected to the elastic piece. The elastic measuring piece may be connected to the elastic piece and may be used to measure an elasticity value of the elastic piece and convert the elasticity value into a first electrical signal. The display part may be configured to display prompt information. The prompt information may include prompt information regarding the elasticity value determined based on the first electrical signal.

ARTIFICIAL INTELLIGENCE-BASED SHOULDER ACTIVITY MONITORING SYSTEM
20220313119 · 2022-10-06 · ·

Embodiments of the innovation relate to a shoulder activity analysis device, comprising a controller having a processor and memory, the controller configured to: receive shoulder activity data from a set of sensors of a shoulder activity detection device, the shoulder activity data identifying shoulder range of motion and shoulder muscle activity of a user; apply the shoulder activity data to a shoulder activity analysis model to identify a user shoulder outcome diagnosis; and based upon the user shoulder outcome diagnosis, output a diagnosis notification to at least one of a user device and a clinician device, the diagnosis notification identifying the user shoulder outcome diagnosis.

SYSTEMS, DEVICES, AND METHODS FOR TREATING VESTIBULAR CONDITIONS

Apparatus and methods are described herein that provide a vibratory device that can apply a vibratory signal to a portion of a head of a user such that the vibratory signal can be conducted via bone to a vestibular system of the user and cause a portion of the vestibular system to move in a manner equivalent to that of a therapeutically effective vibratory signal applied to an area overlaying a mastoid bone of the user. The vibratory device can be associated with frequencies less than 200 Hz. The vibratory device can be effective at treating a physiological condition associated with the vestibular system.

Determining posture state from ECAPs

Systems, devices, and techniques are described for determining a posture state of a patient based on detected evoked compound action potentials (ECAPs). In one example, a medical device includes stimulation circuitry configured to deliver electrical stimulation and sensing circuitry configured to sense a plurality of evoked compound action potential (ECAP) signals. The medical device also includes processing circuitry configured to control the stimulation circuitry to deliver a plurality of electrical stimulation pulses having different amplitude values, control the sensing circuitry to detect, after delivery of each electrical stimulation pulse of the plurality of electrical stimulation pulses, a respective ECAP signal of the plurality of ECAP signals, and determine, based on the plurality of ECAP signals, a posture state of the patient.