Presentation + Paper
17 February 2020 Prototyping tool for real-time ECG monitoring and analysis
Author Affiliations +
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.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vasile Negrescu, Almabrok Essa, Jakob Nace, and Hamed Al Ismaili "Prototyping tool for real-time ECG monitoring and analysis", Proc. SPIE 11231, Design and Quality for Biomedical Technologies XIII, 112310A (17 February 2020); https://doi.org/10.1117/12.2548395
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KEYWORDS
Electrocardiography

Heart

Analog electronics

Prototyping

Electronic filtering

Feature extraction

Signal processing

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