Samsung Electronics Co., Ltd.

Samsung Display Co., Ltd.

Eva C Wentink

Frank Settemo Nuovo

Sheldon George Phillips

Seulki Lee

Tom Torfs

Joseph J Kopp, Jr

Julien Penders

Noam Rosenthal

Lindsay Brown

Ram Fish

Alexander Young

Evelien Hermeling

A method for providing personalized health assessment of a subject includes: receiving a raw electrocardiography (ECG) signal of a subject from an ECG device and a raw blood pressure (BP) signal of the subject from a BP waveform detector; calculating a beat-to-beat ECG signal from the raw ECG signal; calculating a beat-to-beat BP signal from the raw BP signal; calculating a beat-to-beat pulse arrival time (PAT) signal that is measured as a time delay between the beat-to-beat ECG signal and the beat-to-beat BP signal; calculating an interpolated beat-to-beat PAT signal and an interpolated beat-to-beat BP signal by interpolating the beat-to-beat PAT signal and the beat-to-beat BP signal, respectively; assessing a subject-specific relationship between the interpolated beat-to-beat PAT signal and the interpolated beat-to-beat BP signal; and estimating a real-time blood pressure of the subject based on the subject-specific relationship.

Method for determining time delay between beat-to-beat blood pressure signal and pulse arrival time

Embodiments include a method and system for providing data to a user of a wearable sensor platform. The method may be performed by a least one software component executing on at least one processor. The method includes capturing data for the user using at least one sensor in the wearable sensor platform. The data includes physiological data and artifact data. The physiological data includes noise data therein. A confidence indicator for the data is determined based on at least one of the physiological data and the artifact data. A physiological data signal corresponding to the physiological data and the confidence indicator is provided to the user on the wearable device platform.

Confidence indicator for physiological measurements using a wearable sensor platform

Sensor module

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Eindhoven, Netherlands

Eva C Wentink