University of California

Per Henrik Borgstrom

William J Kaiser

Harry A McKellop

Fabrizio Billi

Aman Mahajan

Nils Peter Borgstrom

A monitoring apparatus for a human body includes a node network with at least one motion sensor and at least one acoustic sensor. A processor is coupled to the node network, and receives motion information and acoustic information from the node network. The processor determines from the motion information and the acoustic information a source of acoustic emissions within the human body by analyzing the acoustic information in the time domain to identify an event envelope representing an acoustic event, determining a feature vector related to the event envelope, calculating a distance between the feature vector and each of a set of predetermined event silhouettes, and identifying one of the predetermined event silhouettes for which the distance is a minimum.

System for health monitoring on prosthetic and fixation devices

An Integrated CardioRespiratory (ICR) System is provided for continuous Ejection Fraction (EF) measurement using a wearable device comprising a plurality of acoustic sensors. The ICR system performs signal processing computations to characterize cardiac acoustic signals that are generated by cardiac hemodynamic flow, cardiac valve, and tissue motion, and may use advanced machine learning methods to provide accurate computation of EF.

Multisensor cardiac function monitoring and analytics systems

An Integrated CardioRespiratory (ICR) System is provided for continuous Stroke Volume (SV) measurement using a wearable device comprising a plurality of acoustic sensors. The ICR system performs signal processing computations to characterize cardiac acoustic signals that are generated by cardiac hemodynamic flow, cardiac valve, and tissue motion, and may use advanced machine learning methods to provide accurate computation of SV.

Growing community of inventors

Charlestown, MA, United States of America

Per Henrik Borgstrom