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Application for heart rate estimation using smartphone
Šara, Kryštof ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
This student work deals with the issue of heart biosignals, their processing, the possibility of their acquisition using conventional and smart devices, and the regulation of mobile devices in healthcare. The work also includes the design of a mobile application, which can be used to a quick estimation of the human heart rate (HR). The optimized functional application algorithm was tested on a sample of independent subjects and a mean deviation of 0.74 beats per minute (BPM), relative to the ECG reference record, was reached.
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Application For Heart Rate Estimation Using Smartphone
Šara, Kryštof
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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Application for heart rate estimation using smartphone
Šara, Kryštof ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
This student work deals with the issue of heart biosignals, their processing, the possibility of their acquisition using conventional and smart devices, and the regulation of mobile devices in healthcare. The work also includes the design of a mobile application, which can be used to a quick estimation of the human heart rate (HR). The optimized functional application algorithm was tested on a sample of independent subjects and a mean deviation of 0.74 beats per minute (BPM), relative to the ECG reference record, was reached.
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