Blood Volume Pulse Extraction for Non-Contact Heart Rate Measurement by Digital Camera Using Singular Value Decomposition and Burg Algorithm

Iman Rahmansyah Tayibnapis, Yeon-Mo Yang and Ki Moo Lim
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Iman Rahmansyah Tayibnapis: Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea
Yeon-Mo Yang: Department of Electronic Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea
Ki Moo Lim: Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea

Energies, 2018, vol. 11, issue 5, 1-9

Abstract: Conventional photoplesthymograph (PPG) measurements for heart rate (HR) determination require direct contact between the patient and the PPG device sensor. When using the conventional method, it is possible for users to suffer undesirable skin irritation, discomfort and soreness. Thus, the development of non-contact PPG has been investigated with various technologies and methods. One of the technologies that able to measure PPG in a non-contact way and at low cost is using digital cameras such as webcams. Various filters have been implemented to do non-contact PPG using digital cameras. This paper proposes a non-contact PPG filter system utilizing singular value decomposition (SVD) and Burg’s algorithm. The main role of SVD is for noise removal and as PPG signal extractor. As for the Burg algorithm, it was utilized for estimating the heart rate value from the filtered PPG signal. In this paper, we show and analyze an experiment for HR measurement using our method and a previous method that used independent component analysis (ICA). We compare and contrast both of them with HR measurements acquired by a commercial oximeter. The experiments were conducted at various distance between 30~110 cm and light intensities between 5~2000 lux. The estimated HR showed 2.25 bpm of mean error and 0.73 of Pearson correlation coefficient. The optimal distance between the mirror and user for HR measurement was 50 cm with medium light intensity, around 550 lux.

Keywords: biomedical signal processing; blind source separation; linear predictive coding; photoplethysmography (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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