Heart Rate Measurement Based on Color Signal Extraction
Ruchika Sinhal1, Kavita Singh2, Mukesh Raghuwanshi3

1Ruchika Sinhal , Department of CSE, DMIETR, Wardha, India.
2Dr. Kavita Singh, Department. of CT, YCCE, Nagpur, India Dr.
3Mukesh Raghuwanshi , Department. of IT, YCCE, Nagpur, India

Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1990-1993 | Volume-8 Issue-10, August 2019 | Retrieval Number: J93000881019/2019©BEIESP | DOI: 10.35940/ijitee.J9300.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Photoplethysmography measures vital signs through to extraction of signals from the body. The paper explains the technique for extraction of pulse rate from the videos for three color channels namely; red, green and blue. The DMIMS database is used for experimentation which consists of total 720 videos out of which 25 videos are used for analysis. The results presented in this paper depict that our algorithm works best for blue channel followed by green and then red channel. The main focus of paper is to extract pulse rate from the recorded video and compare the output for different channels and find the best channel for heart rate extraction.
Keywords: Photoplethysmography, vital sign monitoring, rPPG, heart rate estimation, color channels.
Scope of the Article: Signal and Image Processing