Application For Heart Rate Estimation Using Smartphone

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32-eeict_2.pdf(583.53 KB)
Date
2020
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
This work deals with estimation of the human heart rate (HR) using a mobile phone camera. The goal was to create a functional application for a smartphone with a real-time HR detection. A preliminary functional algorithm was tested on a sample of 10 independent subjects and a mean deviation of 8.3 beats per minute (BPM), relative to an ECG reference record, was reached. Considering only visibly calm subjects, the mean deviation was 1.5 BPM.
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Keywords
photopletysmogram, PPG, heart rate, HR, mobile application, Swift, iOS, electrocardiogram, ECG, online detection of HR, Matlab, mHealth, telemedicine
Citation
Proceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 32-35. ISBN 978-80-214-5868-0
https://conf.feec.vutbr.cz/eeict/EEICT2020
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/200664
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Student EEICT 2020
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