Non-contact estimation of heart rate and oxygen saturation using ambient light

被引:99
作者
Bal, Ufuk [1 ]
机构
[1] Mugla Sitki Kocman Univ, Fac Engn, TR-48000 Kotekli Mugla, Turkey
关键词
PHOTOPLETHYSMOGRAPHIC SIGNALS;
D O I
10.1364/BOE.6.000086
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We propose a robust method for automated computation of heart rate (HR) from digital color video recordings of the human face. In order to extract photoplethysmographic signals, two orthogonal vectors of RGB color space are used. We used a dual tree complex wavelet transform based denoising algorithm to reduce artifacts (e. g. artificial lighting, movement, etc.). Most of the previous work on skin color based HR estimation performed experiments with healthy volunteers and focused to solve motion artifacts. In addition to healthy volunteers we performed experiments with child patients in pediatric intensive care units. In order to investigate the possible factors that affect the non-contact HR monitoring in a clinical environment, we studied the relation between hemoglobin levels and HR estimation errors. Low hemoglobin causes underestimation of HR. Nevertheless, we conclude that our method can provide acceptable accuracy to estimate mean HR of patients in a clinical environment, where the measurements can be performed remotely. In addition to mean heart rate estimation, we performed experiments to estimate oxygen saturation. We observed strong correlations between our SpO2 estimations and the commercial oximeter readings (C) 2014 Optical Society of America
引用
收藏
页码:86 / 97
页数:12
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