Mayo Foundation for Medical Education and Research

University of Memphis Research Foundation

Kevin E Bennet

Paul A Friedman

Charles J Bruce

Virend K Somers

Kendall H Lee

Samuel J Asirvatham

Michael J Ackerman

John J Dillon

Itzhak Zachi Attia

Bryan Lester Striemer

Christopher V DeSimone

Bo Qiang

Peter A Noseworthy

Kip A Ludwig

Vaclav Kremen

Dorothy J Ladewig

Anders J Asp

Evan N Nicolai

Charles D Blaha

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 involved in detecting and delivering neurochemical signals, electrophysiological signals, ions, or combinations thereof within a mammal. For example, systems that can include one or more implantable devices containing probes configured to detect neurochemical signals (e.g., neurotransmitter concentrations), electrical signals, ions, or combinations thereof and one or more implantable devices containing electrodes and/or microfluidic delivery components configured to deliver neurochemical signals (e.g., neurotransmitters), electrical signals, ions, or combinations thereof to one or more locations within a mammal are provided.

Feedback loop for stimulating nerve tissue downstream of a damaged or severed nerve

Techniques are described for determining a voltammogram that characterizes a result of a fast-scan cyclic voltammetry process. The FSCV process can be performed using a sensing apparatus at least partially immersed in a volume of blood of a mammal. A system can process the voltammogram to determine a concentration of a neurochemical in the volume of blood of the mammal.

Voltammetric neurochemical detection in whole blood

This document provides methods and materials involved in assessing concentrations of analytes in an environment using a diamond-containing carbon electrode. For example, methods and materials for using FSCV or paired pulse voltammetry to discriminate analytes based on their adsorption characteristics to a diamond-containing carbon electrode are described herein.

Diamond-containing electrodes for neurochemical detection

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

Non-invasive monitoring of physiological conditions

Systems for the detection and delivery of neurochemical and electrical signals for functional restoration

This document relates to methods and materials involved in detecting neurochemical signals, electrophysiological signals, ions, or combinations thereof with brain tissue. For example, methods and materials for using probes to detect neurochemical signals (e.g., neurotransmitter concentrations), electrical signals, or combinations thereof during deep brain stimulation are provided.

Detecting neurochemical or electrical signals within brain tissue

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Rochester, MN, United States of America

Kevin E Bennet