Jason J Coult from Seattle, WA, age 38

Resumes

Senior Fellow

Location:

Seattle, WA

Industry:

Biotechnology

Work:

University of Washington since 2010
PhD Student
King County Emergency Medical Services - Seattle, WA since 2009
Research Scientist

Education:

University of Washington
Master of Science (MS), Bioengineering and Biomedical Engineering University of Washington
Bachelor of Science (BS), Bioengineering and Biomedical Engineering

Skills:

Matlab
Signal Processing
Data Analysis
Biotechnology
Algorithm Design
Machine Learning
Technical Writing
Pattern Recognition
Wavelets
Filter Design
Cardiac Electrophysiology
Patents
Computer Vision
Embedded Systems
Computational Modeling
Data Science
Statistics
Research
Biomedical Engineering
Cell Culture

Publications

Us Patents

Apparatuses And Methods For Classification Of Electrocardiogram Signals During Cardiopulmonary Resuscitation

US Patent:

20160296762, Oct 13, 2016

Filed:

Oct 3, 2014

Appl. No.:

15/026952

Inventors:

- Seattle WA, US
Lawrence Sherman - Seattle WA, US
Jason Coult - Seattle WA, US
Peter Kudenchuk - Seattle WA, US
Allison Chin - Seattle WA, US
Christopher Neils - Seattle WA, US

Assignee:

UNIVERSITY OF WASHINGTON THROUGH ITS CENTER FOR COMMERCIALIZATION - Seattle WA

International Classification:

A61N 1/39
A61N 1/04
A61B 5/046
A61B 5/0402
A61B 5/00

Abstract:

Examples of systems, apparatuses, and methods for classification of electrocardiogram signals during cardiopulmonary resuscitation are described. An example system may include a defibrillator comprising an electrocardiogram analyzer. The electrocardiogram analyzer may be configured to apply a prediction modeling technique to an electrocardiogram signal to generate a predicted signal. The electrocardiogram signal may be captured from a patient undergoing cardiopulmonary resuscitation. The electrocardiogram analyzer may be further configured to subtract the predicted signal from the electrocardiogram signal to generate an error signal and to classify a rhythm of the electrocardiogram signal as one of a shockable rhythm or non-shockable based on the error signal. Decision parameters derived from the signals may be used in conjunction with a machine learning technique to classify the electrocardiogram signal.

Systems And Methods For Analyzing Electrocardiograms To Detect Ventricular Fibrillation

US Patent:

20140207012, Jul 24, 2014

Filed:

Jul 2, 2012

Appl. No.:

14/126411

Inventors:

Jason Coult - Seattle WA, US
Christopher Neils - Lake Forest Park WA, US
Mickey Eisenberg - Seatac WA, US
Thomas Rea - Seattle WA, US
Peter J. Kudenchuk - Normandy Park WA, US
Lawrence Duane Sherman - Bellevue WA, US

Assignee:

Univeristy of Washington through its Center for Commercialization - Seattle WA

International Classification:

A61B 5/046
A61B 5/0452

US Classification:

600518, 600515

Abstract:

The present technology describes various embodiments of systems and methods for analyzing electrocardiograms to detect ventricular fibrillation. In several embodiments, systems for detecting ventricular fibrillation can be implemented without interrupting cardiopulmonary resuscitation. In one embodiment, a method of identifying a cardiac rhythm in a person includes recording an electrocardiogram signal of the person and stratifying the signal. A signal having a parameter value within a pre-determined range is categorized as a shockable ventricular fibrillation signal while a signal having a parameter value outside the pre-determined range is categorized as a non-shockable signal.

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