An object is to accurately determine the presence or absence of a living body. A living body detection device comprises: a signal acquirer that acquires a first signal including a first frequency component that is a frequency component of heartbeat and a second frequency component that is a frequency component of breathing; a filter that attenuates a frequency component higher than the first frequency component based on the first signal to generate a second signal; a frequency analyzer that analyzes a frequency component of the second signal; a variance value calculator that calculates a first variance value of energy of at least one of the first frequency component and the second frequency component based on a result of analysis by the frequency analyzer; a first statistical quantity calculator that calculates a first statistical quantity of the first variance value for a predetermined period; and a determiner that determines presence or absence of a living body based on the first statistical quantity.

Embodiments of the disclosure include a Radar system for detecting presence of a living thing. The radar system includes a transmitter/receiver module configured to emit radio signals to an environment surrounding the Radar system and to detect returned radio signals from the environment, and a large-movement detection sub-module configured to determine a large movement of the living thing based on the returned radio signals. The radar system also includes a micro-movement detection sub-module configured to determine a micro movement of the living thing based on the returned radio signals, and a breath and heartbeat detection sub-module configured to determine a breath or heartbeat of the living thing based on the returned radio signals. The radar system further includes a presence detection sub-module configured to determine the presence of the living thing based on determinations received from the corresponding detection sub-modules.

Embodiments of the disclosure include a Radar system for detecting presence of a living thing. The radar system includes a transmitter/receiver module configured to emit radio signals to an environment surrounding the Radar system and to detect returned radio signals from the environment, and a large-movement detection sub-module configured to determine a large movement of the living thing based on the returned radio signals. The radar system also includes a micro-movement detection sub-module configured to determine a micro movement of the living thing based on the returned radio signals, and a breath and heartbeat detection sub-module configured to determine a breath or heartbeat of the living thing based on the returned radio signals. The radar system further includes a presence detection sub-module configured to determine the presence of the living thing based on determinations received from the corresponding detection sub-modules.

A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

Systems and methods for tracking performance are provided. A method includes monitoring a first amplitude of a first muscle activity for a plurality of time. The method includes generating a plurality of measures of neuromuscular work for the plurality of time points using the first amplitude. The method includes determining a plurality of muscle activation quotients for the plurality of time points, using the plurality of measures of neuromuscular work. The method includes defining a plurality of muscle activation zones using the plurality of muscle activation quotients, wherein individual muscle activation zones correspond to ranges of values of the plurality of muscle activation quotients. The method includes generating a visualization of the plurality of muscle activation quotients and the plurality of muscle activation zones for the plurality of time-points. The method also includes outputting the visualization to a display.

Systems and methods for tracking performance are provided. A method includes monitoring a first amplitude of a first muscle activity for a plurality of time. The method includes generating a plurality of measures of neuromuscular work for the plurality of time points using the first amplitude. The method includes determining a plurality of muscle activation quotients for the plurality of time points, using the plurality of measures of neuromuscular work. The method includes defining a plurality of muscle activation zones using the plurality of muscle activation quotients, wherein individual muscle activation zones correspond to ranges of values of the plurality of muscle activation quotients. The method includes generating a visualization of the plurality of muscle activation quotients and the plurality of muscle activation zones for the plurality of time-points. The method also includes outputting the visualization to a display.

Systems and methods for remotely monitoring hospital patients are provided. Medical devices may capture biometric data associated with a patient positioned in an ICU environment, and a remote display device positioned external to the ICU environment may display an indication of the health of the patient based on the captured biometric data. The indication of the health of the patient may include a graph mapping normalized health statuses associated with the patient over time. Each normalized health status may be based on normalizing a particular type of biometric data based on a medical protocol, so each data point of the graph includes an indication of a normalized health status associated with the patient at a given time. The indication of the health of the patient may include an animated three-dimensional that is dynamically updated to reflect biometric data associated with the patient captured at a time selected by a user.

Systems and methods for remotely monitoring hospital patients are provided. Medical devices may capture biometric data associated with a patient positioned in an ICU environment, and a remote display device positioned external to the ICU environment may display an indication of the health of the patient based on the captured biometric data. The indication of the health of the patient may include a graph mapping normalized health statuses associated with the patient over time. Each normalized health status may be based on normalizing a particular type of biometric data based on a medical protocol, so each data point of the graph includes an indication of a normalized health status associated with the patient at a given time. The indication of the health of the patient may include an animated three-dimensional that is dynamically updated to reflect biometric data associated with the patient captured at a time selected by a user.

The melanin bias reducing pulse oximeter system reduces melanin interference when obtaining pulse oximetry readings for individuals with higher skin concentrations of melanin. The system incorporates optics reducing the melanin bias through hardware and software designed using extensive testing, via a proprietary testing method. The physical pulse oximeter includes different mechanical designs, for example, finger clip, ring, and bracelet design for enhanced usage, accuracy, and comfort for those unable to wear traditional pulse oximeters. The user interface includes built-in UI, external and portable UI, bedside monitoring, and connection to patient monitoring systems, via wired and/or wireless means. Further systems include those with both melanin bias reducing pulse oximetry and heart telemetry in the same device, via either a wired or wireless compact waterproof system to be used for continuous monitoring including blood oxygen saturation as a 5.sup.th vital sign. Systems also include fall detection, bed alarm, and location services.