University of California

California Institute of Technology

Borgia/cummins, LLC

Ford Motor Company Limited

Sensoria Corporation

Bruin Biometrics, LLC

Other

The United States of America As Represented by the Administrator of the

The United States Government As Represented by the Department of Veterans Affairs

Rockwell Science Center, Inc.

Benhov Gmbh, LLC

Bruain Biometrics, LLC

Behnov Gmbh, LLC

Tranzeo Wireless Technologies, Inc.

William J Kaiser

Gregory J Pottie

Lewis D Girod

David C Gelvin

Fredric Newberg

William M Merrill

Sandeep Vardhan

Anton I Sipos

Thomas W Kenny

Majid Sarrafzadeh

Alireza Mehrnia

Steven B Waltman

Joseph Boystak

Yeung Lam

Barbara M Bates-Jensen

Michael Flesch

Eleftherios M Logothetis

Frank Tinghwa Wang

Per Henrik Borgstrom

Harry A McKellop

Aman Mahajan

Fabrizio Billi

Joseph K Reynolds

Frederic Newberg

Maxim A Batalin

Roman Gutierrez

Tony Kai Tang

Brett LeBeau Jordan

Thomas R Van Zandt

Bruce H Dobkin

Xiaoyu Xu

Seth Thomas

Howard K Rockstad

Erika C Vote

Judith A Podosek

Nils Peter Borgstrom

Lars Fredric Newberg

Jeremy Elson

Lawrence Au

Alexander A Bui

Frank C Wang

Jonathan R Engdahl

Oscar Magnus Stafsudd

Lewis David Girod

Hyduke Noshadi

Michael H Hecht

Frank J Grunthaner

Henry O Marcy, 5th

Jaroslava Z Wilcox

Wilmer A Mickelson

William C Vassell

Brennan Spiegel

Richard E Muller

Thomas R Vanzandt

Mars Lan

Christopher Bryan Stell

Wenyao Xu

Michael D Hurley

Paul D Maker

Phyllis R Nelson

Vatche Vorperian

Michael D Yakos

Robert John Calvet

Jonathan S Woodbridge

L Douglas Bell

Lloyd Douglas Bell

Allen J Twarowski

Kristofer S Pister

Jonathan R Agre

Loren P Clare

Christian J Loeffelholz

Kirill Shcheglov

Jaroslava Wilcox

Christian Behrenbruch

David Crisp

Shaun S Ahmadian

Hagop Hagopian

Amit Burstein

Navid Amini

Randall K Bartman

Josef Kriegl

Guillaume Francois Rava

Brian Schiffer

Katayoun Sohrabi

Vincent Zegarski

Digvijay Singh

Bijan Mapar

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

A handheld, conforming capacitive sensing apparatus configured to measure Sub-Epidermal Moisture (SEM) as a mean to detect and monitor the formation of pressure ulcers. The device incorporates an array of electrodes which are excited to measure and scan SEM in a programmable and multiplexed manner by a battery-less RF-powered chip. The scanning operation is initiated by an interrogator which excites a coil embedded in the apparatus and provides the needed energy burst to support the scanning/reading operation. Each electrode measures the equivalent sub-epidermal capacitance corresponding and representing the moisture content.

SEM scanner sensing apparatus, system and methodology for early detection of ulcers

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 cardio-respiratory system that fuses continuously recorded data from multiple physiological sensor sources to acquire signals representative of acoustic events caused by physiological phenomena occurring in the cardiac and/or arterial structures underneath particular areas of the chest and/or neck to monitor cardiac and respiratory conditions.

Multisensor physiological monitoring systems and methods

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.

Multisensor cardiac stroke volume monitoring system and analytics

The Wireless Integrated Network Sensor Next Generation (WINS NG) nodes provide distributed network and Internet access to sensors, controls, and processors that are deeply embedded in equipment, facilities, and the environment. The WINS NG network is a new monitoring and control capability for applications in transportation, manufacturing, health care, environmental monitoring, and safety and security. The WINS NG nodes combine microsensor technology, low power distributed signal processing, low power computation, and low power, low cost wireless and/or wired networking capability in a compact system. The WINS NG networks provide sensing, local control, remote reconfigurability, and embedded intelligent systems in structures, materials, and environments.

Apparatus for internetworked wireless integrated network sensors (WINS)

An abdominal statistics system including a low profile rapidly deployable sensor element having an acoustic sensor and vibration actuator that can be conveniently attached to the abdomen of a patient. The system acquires acoustic signals as gastrointestinal (GI) sounds, processes these signals, and provides actionable data to patients and their providers.

Abdominal statistics physiological monitoring system and methods

An exercise system comprising: an exercise cycle comprising a crank, wherein the crank is configured to be rotated by a user; and a sensing unit coupled to the exercise cycle, wherein the sensing unit is configured to sense information related to at least one crank measurement and to transmit the information related to the at least one crank measurement to a remote device via wireless communication. In some embodiments, the remote device is a mobile device. In some embodiments, the at least one crank measurement comprises a rotational speed of the crank or a force applied to the crank. The remote device can display information related to use of the exercise cycle based on the information received from the exercise cycle.

Exercise promotion, measurement, and monitoring system

Growing community of inventors

Los Angeles, CA, United States of America

William J Kaiser