Mayo Foundation for Medical Education and Research

Hewlett-packard Development Company, L.p.

Virend K Somers

Paul A Friedman

Charles J Bruce

Kevin E Bennet

Samuel J Asirvatham

Michael J Ackerman

John J Dillon

Steven J Simske

Tong Zhang

Daniel Robert Blakley

Itzhak Zachi Attia

Bryan Lester Striemer

Christopher V DeSimone

Bo Qiang

Peter A Noseworthy

Vaclav Kremen

Dorothy J Ladewig

Tomas Kara

Alan M Sugrue

Jennifer L Dugan

This document provides devices and methods for monitoring health patient parameters using a wearable monitoring device. For example, this document provides monitoring devices with multiple sensors, multiple types of sensors, algorithms for managing the multiple sensors to enhance monitor performance, and for detection of health events using health parameter data that is acquired by the monitoring system.

Sensor types and sensor positioning for a remote patient monitoring system

Systems, methods, devices, and techniques for analyzing and applying features of a T-wave derived from an electrocardiogram. A computing system can receive a set of data that characterizes an electrocardiogram of a patient. The system can analyze the set of data to identify a T-wave that occurs in the electrocardiogram. The system can determine values of one or more features of the T-wave and provide the information that identifies the values of the one or more features of the T-wave to a user.

Electrocardiogram analytical tool

Systems, methods, and other techniques for estimating the level of an analyte present in a patient during a time interval using electrocardiogram (ECG) signals. The estimate can be improved using information about the patient's posture.

ECG-based analyte assessments with adjustments for variances in patient posture

This document provides methods and materials related to the non-invasive measurement of analytes in blood.

Non-invasive monitoring of physiological conditions

A method of providing customized medical monitoring to a patient is disclosed. The method can include steps of selecting a medical monitoring device for a patient, where the medical monitoring device is associated with a biological transducer, determining at least one desired monitoring parameter, and customizing locally the medical monitoring device to monitor the desired monitoring parameter collected by the biological transducer. The method may further include steps of providing the medical monitoring device to the patient, and monitoring at least one health parameter of the patient from a remote location. The medical monitoring device can also be customized remotely.

Prescription-customized medical hardware

A method and apparatus for monitoring the application of a vagus nerve stimulation signal includes a detection circuit having an amplifier, a filter, and a signal prolongation circuit. The signal prolongation circuit rectifies a detected vagus nerve signal and provides the signal to a Schmitt trigger extending the length of the signal. Because of the prolongation of the signal, the signal can be sampled at a relatively low rate, and real time data illustrating the response of various physiological signals to the application of the vagus nerve signal can be monitored, thereby providing clinical data for monitoring and adjusting the applied stimulation.

Method and apparatus for detecting vagus nerve stimulation

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Rochester, MN, United States of America

Virend K Somers