Samsung Electronics Co., Ltd.

Tiax LLC

Matthew C Wiggins

J Thomas Fowler

Yelei Li

Vernon Eugene Shrauger

Thomas Kotwal

Michael Jacob Rutberg

Euan Thomson

Asif Khalak

Jungmok Bae

Alexandra Dana

Anabel M De Proft

Lifeng Miao

Amol Jayant Pangarkar

Manman Zhang

Swapnil Prabhakar Vinod

Hearing management, using a portable device or integrated portable devices, can include generating during a hearing diagnostics phase an audiogram based on responses of a user to signals conveyed to the user. In response to detecting ambient noises during the hearing diagnostics phase, noise cancellation can be performed to cancel the ambient noises in conjunction with conveying the signals to the user. During a hearing enhancement phase, sounds can be captured with the portable device. The captured sounds can be enhanced in real-time during the hearing enhancement phase by amplifying select frequencies of the captured sounds using signal gain. The frequencies can be selected, and the signal gain determined based on the audiogram. The captured sounds, now enhanced, can be conveyed to the user as frequency-enhanced sounds.

Multi-device integration with hearable for managing hearing disorders

A method for estimating blood pressure using a blood flow occlusion system applied to an artery includes receiving from a first sensor a sensed signal; processing at a processor the sensed signal to detect beats in a pulsatile signal; determining validity of the detected beats; storing the detected beats and data associated with the detected beats in the sensed signal as the pressure applied to the artery by the blood flow occlusion system deflates towards a level below a nominal level; determining baseline beat characteristics; evaluating the stored beats and associated data to detect change in beat characteristics as compared to the baseline beat characteristics; selecting a beat before the detected change in the beat characteristic as the last beat indicating the onset of the diastolic blood pressure for the artery; determining a value of the applied pressure at the last beat as the diastolic blood pressure for the artery.

Noninvasive blood pressure measurement method and device

Methods of calibrating strapdown heading sensors and strapdown heading sensors are provided. The methods include compensating raw sensor data generated by sensors of an uncalibrated strapdown heading sensor to compensate for errors in an instrument frame of the strapdown heading sensor. The strapdown heading sensor is put in a target apparatus and output data is compensated to compensate for errors in an apparatus frame relative to the instrument frame. The strapdown heading sensors include a housing and a compass module having a first sensor configured to detect a magnetic field of the Earth and a second sensor configured to detect a gravitational force of the Earth. The first sensor and the second sensor are each passively isolated from bending and/or flexing of the housing such that an alignment between the first sensor and the second sensor is not disturbed due to the bending and/or flexing.

Strapdown heading sensors and systems, and methods of calibrating and compensating the same

An attitude sensor system with automatic bias correction having a primary attitude sensor wherein the primary attitude sensor comprises at least one accelerometer and an auxiliary sensor system configured to automatically estimate a bias of the accelerometer of the primary attitude sensor such that the resulting error is removed from an output of the attitude sensor system.

Attitude sensor system with automatic accelerometer bias correction

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.

Self-powered wearable for continuous biometrics monitoring

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.

Systematic apparatus for motion sensor and optical sensor based cardiac arrhythmia triage

A method for event detection in a user-wearable device includes receiving, from a first sensor implemented in the user-wearable device, photoplethysmogram (PPG) signals; processing, at a processor, the PPG signals to obtain PPG signal samples; detecting, at the processor, beats in the PPG signal samples; dividing the PPG signal samples into PPG signal segments; extracting at least one inter-beat interval (IBI) feature in each PPG signal segment; classifying, at the processor, each PPG signal segment using the extracted IBI feature associated with the PPG signal segment and using a machine learning model; in response to the classifying, generating, at the processor, an event prediction result for the PPG signal segment based on the extracted IBI feature; and displaying the event prediction result at the user-wearable device. In another embodiment, the method further includes extracting morphology based features.

Passive arrythmias detection based on photoplethysmogram (PPG) inter-beat intervals and morphology

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.

Method and apparatus for heart rate and respiration rate estimation using low power sensor

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.

System and method for snoring detection using low power motion sensor

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.

Methods for improving response time, robustness and user comfort in continuous estimation of biophysiological rates

Provided is an electronic device to monitor a user's biological measurements in two stages, where the first stage determines whether to make measurements and/or appraisals in the second stage.

Method and apparatus for triage and subsequent escalation based on biosignals or biometrics

A strapdown heading sensor includes an elongated housing and a compass module at least partially positioned within an inner cavity of the elongated housing. The compass module is cantilevered within the inner cavity of the elongated housing.

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Concord, MA, United States of America

Matthew C Wiggins