A61B5/389

SENSOR-BASED PAIN MANAGEMENT SYSTEMS AND METHODS

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes a first sensor circuit to sense a first signal indicative of a functional state of the subject, a second sensor circuit to sense a second signal different from the first signal, and a controller circuit. The controller circuit may determine an operating mode of the second sensor circuit according to the sensed first signal, trigger the second senor circuit to sense the second signal under the determined operating mode, and generate a pain score using at least the second signal sensed under the determined operating mode. The pain score may be output to a patient or used for closed-loop control of a pain therapy.

DYNAMIC MODALITY-BASED VEHICLE NAVIGATION

Technologies and techniques for controlling modalities for vehicle navigation. A navigation system may be configured to transmit navigation data and communicate the navigation data in a vehicle using a plurality of modalities. One or more sensors provide data associated with at least one of (i) sensor data associated with a vehicle interior environment, (ii) sensor data associated with a physiological state of a driver, and/or (iii) driving condition data. A processor, may be configured to process at least one of the sensor data, driving condition data and/or navigation data to determine one or more modality values, wherein the processor is configured to activate and/or deactivate at least one of the plurality of modalities based on the one or more modality values.

MUSCLE FATIGUE OUTPUT DEVICE, MUSCLE FATIGUE OUTPUT METHOD, AND RECORDING MEDIUM
20170354377 · 2017-12-14 ·

A muscle fatigue output device is provided with a myoelectric measurement unit that acquires myoelectricity of a user, and a main control unit that determines fatigue of a muscle of the user on the basis of the myoelectricity. The main control unit (a) uses the myoelectricity to acquire a value for a frequency characteristic of the myoelectricity, (b) uses the myoelectricity to acquire a value for an amplitude characteristic of the myoelectricity, (c) acquires a ratio between the value for the frequency characteristic and the value for the amplitude characteristic as an index for the fatigue of the muscle of the user, and (d) outputs information regarding the fatigue of the muscle of the user, on the basis of the index for the fatigue of the muscle of the user.

LIGHTWEIGHT ELECTROENCEPHALOGRAM MONITORING DEVICE WITH SEMI-DRY ELECTRODES
20230190175 · 2023-06-22 ·

A semi-dry electrode combines advantages of wet electrodes and dry electrodes by use of a rotatable ball to apply a conductive gel at the tip of the electrode in a manner similar to how a ballpen applies ink. A reservoir in the semi-dry electrode contains the conductive gel that is applied by the ball to the skin of the user. This creates a thin film of conductive gel at the tip of the semi-dry electrode which reduces impedance and increases the signal-to-noise (SNR) ratio. Directly applying the conductive gel from within the electrode itself reduces mess and improves user convenience. The semi-dry electrode may be used in a lightweight electroencephalography (EEG) monitoring device to detect brain activity. The brain activity may be used as input for a brain-computer interface (BCI).

ELECTROPHYSIOLOGICAL SIGNAL MEASUREMENT SYSTEM, ELECTROPHYSIOLOGICAL SIGNAL ADJUSTMENT METHOD AND ELECTRODE ASSEMBLY

An electrophysiological signal measurement system, an electrophysiological signal adjustment method and an electrode assembly are provided. The electrophysiological signal measurement system includes an electrode assembly, a variation adjustment device and a signal processing device. The electrode assembly receives an electrophysiological signal, a first electrical characteristic value and a second electrical characteristic value. The variation adjustment device includes a comparison unit and a searching unit. The comparison unit receives the first electrical characteristic value and the second electrical characteristic value, and determines whether a difference between the first electrical characteristic value and the second electrical characteristic value is greater than a threshold. When the difference between the first electrical characteristic value and the second electrical characteristic value is greater than the threshold value, the searching unit searches for several amplitude calibration ratios corresponding to several frequencies. The signal processing device calibrates the electrophysiological signal according to the amplitude calibration ratios.

Image display device and information input device

According to an illustrative embodiment, an information processing device is provided. The information processing device includes at least one electrode configured to generate at least one signal related to eye blinking of a subject; and a processing circuit configured to receive the at least one signal and detect eye blinking of the subject based on the at least one signal.

Automated detection of breathing disturbances

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Automated detection of breathing disturbances

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Multi-modality harness

A harness comprising a patient module connector, an extremity hub; a cable branch including a plurality of channel pairs. The cable branch includes a first end coupled to the patient module connector and a second end coupled to the extremity hub. The harness comprises a monitoring cable configured to attach and detach from the extremity hub.

Multi-modality harness

A harness comprising a patient module connector, an extremity hub; a cable branch including a plurality of channel pairs. The cable branch includes a first end coupled to the patient module connector and a second end coupled to the extremity hub. The harness comprises a monitoring cable configured to attach and detach from the extremity hub.