A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (“VR”) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.

A human body support 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 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.

An external data retrieval apparatus receives a low resolution version of a physiological signal from an active implantable medical device and determines if the physiological signal represents a clinically significant event. The apparatus provides an indication of such determination to the implantable medical device. If the physiological signal does represent a clinically significant event, the apparatus receives a full download of the physiological signal from the implantable device.

Systems and methods are provided for operating a physiological monitoring system that comprises a distributed algorithm. The physiological monitoring system may comprise a sensor and a physiological monitor that may be communicatively coupled with the sensor. The sensor may store algorithm configuration data; and the physiological monitor may store an executable code segment configured to execute a first algorithm. The physiological monitor may be configured to receive the algorithm configuration data and to configure or modify at least part of the first algorithm based upon the algorithm configuration data to determine at least one physiological parameter of a subject based on physiological signal provided by the sensor.

Provided are systems, methods, and devices for intracranial measurement, stimulation, and generation of brain state models. Systems include a plurality of intracranial electrodes configured to be coupled to a brain of a user. Systems further include an interface configured to obtain measurements from the plurality of intracranial electrodes. Systems include a first processing device including one or more processors configured to generate a plurality of brain state parameters characterizing one or more features of at least one brain state of the user, and a second processing device including one or more processors configured to generate at least one model of the brain of the user based, at least in part, on the plurality of brain state parameters and the measurements. Systems include a controller including one or more processors configured to generate a control signal based on the plurality of brain state parameters and the at least one model.

Provided are systems, methods, and devices for intracranial measurement, stimulation, and generation of brain state models. Systems include a plurality of intracranial electrodes configured to be coupled to a brain of a user. Systems further include an interface configured to obtain measurements from the plurality of intracranial electrodes. Systems include a first processing device including one or more processors configured to generate a plurality of brain state parameters characterizing one or more features of at least one brain state of the user, and a second processing device including one or more processors configured to generate at least one model of the brain of the user based, at least in part, on the plurality of brain state parameters and the measurements. Systems include a controller including one or more processors configured to generate a control signal based on the plurality of brain state parameters and the at least one model.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user’s body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user’s body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user’s body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.