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Proceedings Paper

Prototyping tool for real-time ECG monitoring and analysis
Author(s): Vasile Negrescu; Almabrok Essa; Jakob Nace; Hamed Al Ismaili
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Paper Abstract

Measuring the heart rate is one critical piece of information that a health professional uses to diagnose the health state of an individual. Electrocardiogram (ECG/EKG) is essentially responsible for patient monitoring and diagnosis. The extracted feature from the ECG signal plays a vital role in diagnosis of cardiac disease. Therefore, this paper presents how to design, build, and test a cost-effective prototyping tool for ECG feature extraction and recognition. When testing a real ECG from a human subject, the developed tool can preserve useful ECG information while removing unwanted noise and interference components by adaptively determining the filtering values that directly translate to a real time analog circuit for rapid prototyping. Then a decisionmaking model which is based on the peak detection strategy is applied for automated heart rate state recognition in real-time.

Paper Details

Date Published: 17 February 2020
PDF: 9 pages
Proc. SPIE 11231, Design and Quality for Biomedical Technologies XIII, 112310A (17 February 2020); doi: 10.1117/12.2548395
Show Author Affiliations
Vasile Negrescu, Cleveland State Univ. (United States)
Univ. of Massachusetts, Amherst (United States)
Almabrok Essa, Cleveland State Univ. (United States)
Jakob Nace, Cleveland State Univ. (United States)
Hamed Al Ismaili, Cleveland State Univ. (United States)


Published in SPIE Proceedings Vol. 11231:
Design and Quality for Biomedical Technologies XIII
Jeeseong Hwang; Gracie Vargas, Editor(s)

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