Algorithm To Calculate Pulse from PPG Signal After Eliminating Touch Errors from the Fingertip Video Captured by Smartphone Camera
Ayan Chatterjee, Sundar Gopalakrishnan, Martin Gerdes, Santiago, Martinez, Nibedita Pahari, Pankaj Khatiwada

TL;DR
This paper presents a novel algorithm for extracting pulse from fingertip PPG signals captured via smartphone camera, effectively eliminating touch errors and improving accuracy over existing methods.
Contribution
The research introduces a new approach to remove camera touch errors from PPG signals using pixel intensity analysis, enhancing pulse measurement accuracy from smartphone videos.
Findings
Effective removal of touch errors from PPG signals
Improved pulse detection accuracy compared to existing algorithms
Successful implementation using MATLAB with potential for mobile application
Abstract
With the ongoing heart problems of the population worldwide, the medical requirements of the people are expected to increase. Electrocardiogram (ECG) is one of the proven to capture the heart response signal to assess the electrical and muscular functions of the heart. The ECG setup is expensive and needs proper training, and of course, it is not instant. For fast, accurate heart parameter monitoring, scientists pay attention to the photoplethysmogram signal (PPG), based on the light intensity of a particular wavelength. Android smartphone with a good quality camera has come to ordinary people's reach and has become one of the most necessary and rugged devices for today and future generations. We can use its powerful features to solve or assess heart state monitoring by capturing the image's necessary data. The mobile camera has a photo emitting diode and a photodetector. The light…
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Taxonomy
TopicsNon-Invasive Vital Sign Monitoring · ECG Monitoring and Analysis · Heart Rate Variability and Autonomic Control
