A processing apparatus for processing a physiological signal using model subtraction, notch filtering and gating. The processing apparatus comprises a model subtraction circuit configured to receive the physiological signal and to reduce a first unwanted signal component, such as an ECG contamination, in the physiological signal by subtracting from the physiological signal a model of the first unwanted signal component to obtain a residual signal; a filter circuit configured to receive the residual signal and to reduce a second unwanted signal component, such as power line noise, in the residual signal by applying a notch filter to obtain a filtered signal; and a gating circuit configured to receive the filtered signal and to apply gating to the filtered signal to obtain a gated signal. The processing apparatus further relates to a corresponding electromyography system and a method for processing a physiological signal using model subtraction, notch filtering and gating.

A thermal control unit supplies temperature controlled fluid to one or more thermal pads used to control the temperature of a patient. The thermal control unit includes a fluid outlet, fluid inlet, heat exchanger, pump, and a controller. The controller receives first and second data from at least two different sources to determine if the patient is shivering or not. The two different sources may include a temperature sensor adapted to detect a temperature of the fluid, a temperature sensor adapted to detect a temperature of the patient, a tissue oxygenation sensor, a vibration/motion sensor, a thermal image sensor, an electromyograph, and/or other sensors. In some embodiments, the thermal control unit takes one or more automatic actions in response to detection of patient shivering.

A thermal control unit supplies temperature controlled fluid to one or more thermal pads used to control the temperature of a patient. The thermal control unit includes a fluid outlet, fluid inlet, heat exchanger, pump, and a controller. The controller receives first and second data from at least two different sources to determine if the patient is shivering or not. The two different sources may include a temperature sensor adapted to detect a temperature of the fluid, a temperature sensor adapted to detect a temperature of the patient, a tissue oxygenation sensor, a vibration/motion sensor, a thermal image sensor, an electromyograph, and/or other sensors. In some embodiments, the thermal control unit takes one or more automatic actions in response to detection of patient shivering.

An exercise feedback system receives a first set of physiological data from a garment worn by a user and user information from a client device of the user, the first set of physiological data describing muscle activation of a plurality of muscles of the user while performing a calibration workout. The exercise feedback system determines a calibration value based at least in part on the first set of physiological data and the user information. When the exercise feedback system receives a second set of physiological data describing muscle activation of the plurality of muscles while performing a subsequent workout from the garment, the exercise feedback system modifies the calibration value based on the second set of physiological data. The exercise feedback system provides biofeedback generated based on the modified calibration value to the user via the client device.

An exercise feedback system receives a first set of physiological data from a garment worn by a user and user information from a client device of the user, the first set of physiological data describing muscle activation of a plurality of muscles of the user while performing a calibration workout. The exercise feedback system determines a calibration value based at least in part on the first set of physiological data and the user information. When the exercise feedback system receives a second set of physiological data describing muscle activation of the plurality of muscles while performing a subsequent workout from the garment, the exercise feedback system modifies the calibration value based on the second set of physiological data. The exercise feedback system provides biofeedback generated based on the modified calibration value to the user via the client device.

A system that includes a wearable monitor for monitoring movement of a user. The wearable monitor includes at least one movement sensor configured to generate at least one measurement signal in response to movement of the user, and a wireless transmitter configured to wirelessly transmit measurement data generated based on the at least one measurement signal. The system includes a portable electronic device configured to wirelessly receive the measurement data transmitted by the wireless transmitter, and generate movement classification data comprising a movement classification for each of a plurality of time windows of the measurement data, wherein the movement classification data is generated based on a machine learned model of human movement.

A human body support, such as a chair, has a plurality of electrodes arranged in an array and spaced longitudinally with respect to the human body. The array extends from an inferior position to a more superior position along the body. A sensor measures a parameter of the human body that is capable of indicating the presence of drowsiness. A controller has an input connected to the sensor for receiving a signal representing the sensed parameter and has outputs connected to each of the electrodes. The controller detects whether the sensed parameter is within a range indicating the presence of drowsiness and applies a wave of electrical stimuli against the human body in response to detection of a sensed parameter within the range. The electrical stimuli cause periodic tightening and relaxing of proximate muscles as the wave progresses in a direction from an inferior location on the human body toward a more superior location.

A human body support, such as a chair, has a plurality of electrodes arranged in an array and spaced longitudinally with respect to the human body. The array extends from an inferior position to a more superior position along the body. A sensor measures a parameter of the human body that is capable of indicating the presence of drowsiness. A controller has an input connected to the sensor for receiving a signal representing the sensed parameter and has outputs connected to each of the electrodes. The controller detects whether the sensed parameter is within a range indicating the presence of drowsiness and applies a wave of electrical stimuli against the human body in response to detection of a sensed parameter within the range. The electrical stimuli cause periodic tightening and relaxing of proximate muscles as the wave progresses in a direction from an inferior location on the human body toward a more superior location.

Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.

Augmented reality systems and methods for user health analysis. Methods for user health analysis may include collecting data for an initial prediction model and continuing to collect additional data based on one or more data criteria. The methods may further include updating the initial prediction model based on the additional data to produce a revised prediction model or causing an intervention to occur based on the additional data. The data may be collected by a display system including one or more sensors configured to collect user-specific data and a display device configured to present virtual content to a user. The display device may be configured to output light with variable wavefront divergence.