Detection of Left Ventricular Ejection Fraction Abnormality Using Fusion of Acoustic and Biopotential Characteristics of Precordium-Reference-Cited by-同舟云学术

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Detection of Left Ventricular Ejection Fraction Abnormality Using Fusion of Acoustic and Biopotential Characteristics of Precordium

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Sensors
language:
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Author:

Shokouhmand Arash¹,Wen Haoran²,Khan Samiha³,Puma Joseph A.⁴,Patel Amisha⁴,Green Philip⁴,Ayazi Farrokh²,Tavassolian Negar¹

Affiliation:

1. Stevens Institute of Technology,Department of Electrical and Computer Engineering,Hoboken,USA

2. StethX Microsystems Inc.,Atlanta,USA

3. New York Institute of Technology College of Osteopathic Medicine,New York,USA

4. Sorin Medical P.C.,New York,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9966996/9966997/09967355.pdf?arnumber=9967355

Reference15 articles.

1. The Relationship of Alterations in Systolic Time Intervals to Ejection Fraction in Patients with Cardiac Disease

2. Nonlinear filtering of multiplied and convolved signals;van oppenheim;IEEE Trans Audio Electroacoust,1968

3. A Real-Time QRS Detection Algorithm

4. Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parameters

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