Two types of information processing devices includes circuitry to display, on a display device, a position representation area indicating a position of each of a group of sensors that detects biomedical signals of a test subject, display on the display device a selection acceptance area accepting selection of a plurality of positions of a plurality of desired sensors, the plurality of positions being selected from the group of sensors using an operating unit, and display on the display device a waveform display area displaying a waveform output from the plurality of desired sensors corresponding to the plurality of selected positions. In the first type of information processing device, single-region data indicating a region including the plurality of selected positions is displayed in the position representation area. In the second type of information processing device, the plurality of selected positions are enlarged and displayed in the position representation area.

Two types of information processing devices includes circuitry to display, on a display device, a position representation area indicating a position of each of a group of sensors that detects biomedical signals of a test subject, display on the display device a selection acceptance area accepting selection of a plurality of positions of a plurality of desired sensors, the plurality of positions being selected from the group of sensors using an operating unit, and display on the display device a waveform display area displaying a waveform output from the plurality of desired sensors corresponding to the plurality of selected positions. In the first type of information processing device, single-region data indicating a region including the plurality of selected positions is displayed in the position representation area. In the second type of information processing device, the plurality of selected positions are enlarged and displayed in the position representation area.

Systems and methods for decoding neural and/or electromyographic signals are provided. A system can include at least one single channel decoder. Optionally, the system can include a demixer in operable communication with the single channel decoders. Each single channel decoder can include a filter to attenuate noise and sharpen spikes in the neural and/or electromyographic signals, a detection function to identify spikes, and a demodulator to get a real-time estimate of motor intent.

An electrocardiogram (ECG) signal processing system is provided. The ECG signal processing system comprises an analog-to-digital converter (ADC) configured to convert an input analog ECG signal into a digital ECG signal, and a digital signal processing engine (DSPE) coupled to the ADC to receive the digital ECG signal. The DSPE is configured to decompose and reconstruct the digital ECG signal. A dynamic system clock source is coupled to the ADC and the DSPE for dynamic signal sampling, the dynamic system clock source clocking the ADC and the DSPE at a first frequency f1 to detect one or more first parameters of the input analog ECG signal and at a second frequency f2 to detect one or more second parameters of the input analog ECG signal.

One general aspect includes a bed having a mattress. The system also includes a sensor configured to: sense pressure of a sleeper on the mattress and transmit, to a controller, pressure data generated from the sensing of pressure of the sleeper on the mattress. The system also includes a controller may include a processor and a memory, the controller configured to receive the pressure data, identify, from the pressure data, one or more motion parameters, and determine, from the motion parameters, one or more neurologic measures of the sleeper. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

One general aspect includes a bed having a mattress. The system also includes a sensor configured to: sense pressure of a sleeper on the mattress and transmit, to a controller, pressure data generated from the sensing of pressure of the sleeper on the mattress. The system also includes a controller may include a processor and a memory, the controller configured to receive the pressure data, identify, from the pressure data, one or more motion parameters, and determine, from the motion parameters, one or more neurologic measures of the sleeper. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

An arrangement may include a first system provided by a mobile device for processing physiological data representative of a beating heart. The mobile device may be adapted to execute a process for using at least one pattern to detect a notable finding in the physiological data and for sending the notable finding to a second system. The second system may be adapted to execute a process for analyzing the notable finding, for determining at least one new pattern to send to the mobile device, and for sending the at least one new pattern to the mobile device. The at least one new pattern may also include a rule that includes a set of conditions and an action to perform if the set of conditions is met.

Augmented reality (AR) systems, methods, and instrumentalities are disclosed. A user's gaze point may be estimated and may be used to search for and present information, e.g., information relating to areas on which the user is focusing. The user's gaze point may be used to facilitate or enable modes of interactivity and/or user interfaces that may be controlled by the direction of view of the user. Biometric techniques may be used to estimate an emotional state of the user. This estimated emotional state may be used to be the information that is presented to the user.

Augmented reality (AR) systems, methods, and instrumentalities are disclosed. A user's gaze point may be estimated and may be used to search for and present information, e.g., information relating to areas on which the user is focusing. The user's gaze point may be used to facilitate or enable modes of interactivity and/or user interfaces that may be controlled by the direction of view of the user. Biometric techniques may be used to estimate an emotional state of the user. This estimated emotional state may be used to be the information that is presented to the user.

Disordered breathing events may be classified as central, obstructive or a combination of central an obstructive in origin based on patient motion associated with respiratory effort. Central disordered breathing is associated with disrupted respiration with reduced respiratory effort. Obstructive disordered breathing is associated with disrupted respiration accompanied by respiratory effort. A disordered breathing classification system includes a disordered breathing detector and a respiratory effort motion sensor. Components of the disordered breathing classification system may be fully or partially implantable.