Abstract: A method of measuring biological signals of a person including obtaining physiological signals; converting the physiological signals to an energy entropy signal, determining one or more statistical features based on the energy entropy signal, and selecting and combining two or more of the features.

Abstract: A contactless biometrics monitoring system includes: a first device to transmit a modulated signal into an environment, the modulated signal being modulated to amplify one or more biometric patterns of a user located within the environment; and a second device to receive a reflection of the modulated signal off the user located within the environment. The reflection includes a vibration component, and the vibration component indicates biometric information of the user corresponding to the one or more biometric patterns amplified by the modulated signal.

Abstract: A user-wearable device utilizes energy harvesting technology to lengthen battery life or eliminates the need to charge the wearable device. In one embodiment, a user-wearable device combines energy harvesting technology with low power sensors and high efficiency processing methods to realize a self-charging or battery-less biometric monitoring system. The wearable biometric monitoring system provides accurate biometric measurements while enhancing user experience by extending the battery life or completely eliminating the need for the user to charge the device.

Abstract: A method for detecting arrhythmia, including receiving, via at least one motion sensor, channels of raw motion signals for a user; monitoring the channels for motion activity; generating segments from the raw motion signals; determining heartbeat event locations from the generated segments; performing false alarm detection on the raw motion signals and heartbeat event locations to generated refined abnormal candidates.

Abstract: Provided is a system for measuring biological signals of a user, which includes a sensor module configured to acquire ballistocardiogram (BCG) signals of a user via a present channel, where the present channel is at least one channel of the sensor module, a decomposition module configured to decompose the BCG signals to decomposed signals, a reconstruction module configured to reconstruct at least a portion of the decomposed signals to reconstructed signals, a processing module configured to process the reconstructed signals to at least one of a heart rate, respiration rate, phases of respiration, and blood pressure, and a display module configured to display at least one output corresponding to the at least one of the heart rate, the respiration rate, phases of respiration, and the blood pressure on a display device.

Abstract: As a non-limiting example, various aspects of this disclosure provide embodiments of real-time heartbeat events detection using low-power, low-noise motion sensor.

Abstract: As a non-limiting example, various aspects of this disclosure provide embodiments of continuous background heartrate and heartbeat events detection using a motion sensor during various phases of activity by a user.

Abstract: A method of measuring biological signals of a person including obtaining physiological signals; converting the physiological signals to an energy entropy signal, determining one or more statistical features based on the energy entropy signal, and selecting and combining two or more of the features.

Abstract: As a non-limiting example, various aspects of this disclosure provide embodiments of real-time heartbeat events detection using low-power, low-noise motion sensor.

Abstract: Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a raw signal from a user, and the electronic device determines a snoring signal from the raw signal by appropriately processing the raw signal.

Abstract: A computer-implemented method for estimating biophysiological rates using the Hilbert transform includes receiving a quasiperiodic data stream from a biophysiological sensor, and removing at least a portion of an offset from the quasiperiodic data stream to provide a smoothed data stream by filtering the quasiperiodic data stream through a bandpass filter and phase compensating the filtered quasiperiodic data stream. The method also includes transforming the smoothed data stream into an analytic data stream using a Hilbert transform approximation and calculating the time derivative of the phase angle of the analytic data stream, where the time derivative is a frequency of the quasiperiodic data stream. The method further includes providing an output data stream derived from the frequency.

Abstract: A method for detecting arrhythmia, including receiving, via at least one motion sensor, channels of raw motion signals for a user; monitoring the channels for motion activity; generating segments from the raw motion signals; determining heartbeat event locations from the generated segments; performing false alarm detection on the raw motion signals and heartbeat event locations to generated refined abnormal candidates.

Abstract: Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.

Abstract: A computer-implemented method for estimating a cardiovascular feature, such as heart interbeat intervals, using time-delay embedding includes receiving a quasiperiodic observational data stream from a biophysiological sensor, selecting a first delay value, and generating a first vector with a first dimensionality in a multidimensional coordinate space from the observational data stream through time-delay embedding. The method also includes selecting a first plane with a second dimensionality equal to one less than the first dimensionality and which passes through an origin of the coordinate space, identifying a plurality of crossings of the first vector through the first plane in one direction, and correlating a time value corresponding to each of the crossings. The method further includes calculating a plurality of periods between the time values corresponding to consecutive crossings, where the periods represent a stream of interbeat intervals.

Abstract: As a non-limiting example, various aspects of this disclosure provide embodiments of real-time heartbeat events detection using low-power, low-noise motion sensor.

Abstract: As a non-limiting example, various aspects of this disclosure provide embodiments of continuous background heartrate and heartbeat events detection using a motion sensor during various phases of activity by a user.

Abstract: A user-wearable device utilizes energy harvesting technology to lengthen battery life or eliminates the need to charge the wearable device. In one embodiment, a user-wearable device combines energy harvesting technology with low power sensors and high efficiency processing methods to realize a self-charging or battery-less biometric monitoring system. The wearable biometric monitoring system provides accurate biometric measurements while enhancing user experience by extending the battery life or completely eliminating the need for the user to charge the device.

Abstract: Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a raw signal from a user, and the electronic device determines a snoring signal from the raw signal by appropriately processing the raw signal.

Abstract: Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.

Abstract: Provided is a method and system for helping a user reach a health goal. Various embodiments of the disclosure disclose receiving various data that relate to the user and comparing the received data to monitored user health data to provide recommendations on steps to take to achieve the health goal. The various embodiments also determine when the user has achieved the user's desired health goal.