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Xi, Lin 
ORCID: https://orcid.org/0000-0001-6075-5614, Wu, Xingming, Chen, Weihai, Wang, Jianhua and Zhao, Changchen
(2022)
Weighted combination and singular spectrum analysis based remote photoplethysmography pulse extraction in low-light environments.
Medical Engineering and Physics, 105.
ISSN 1350-4533
Abstract
Camera-based vital signs monitoring in recent years has attracted more and more researchers and the results are promising. However, a few research works focus on heart rate extraction under extremely low illumination environments. In this paper, we propose a novel framework for remote heart rate estimation under low-light conditions. This method uses singular spectrum analysis (SSA) to decompose the filtered signal into several reconstructed components. A spectral masking algorithm is utilized to refine the preliminary candidate components on the basis of a reference heart rate. The contributive components are fused into the final pulse signal. To evaluate the performance of our framework in low-light conditions, the proposed approach is tested on a large-scale multi-illumination HR dataset (named MIHR). The test results verify that the proposed method has stronger robustness to low illumination than state-of-the-art methods, effectively improving the signal-to-noise ratio and heart rate estimation precision. We further perform experiments on the PUlse RatE detection (PURE) dataset which is recorded under normal light conditions to demonstrate the generalization of our method. The experiment results show that our method can stably detect pulse rate and achieve comparative results. The proposed method pioneers a new solution to the remote heart rate estimation in low-light conditions.
| Item Type: | Article |
|---|---|
| Additional Information: | Funding Information: This work was supported by the Special Funding for Top Talents of Shandong Province, the National Nature Science Foundation (NSFC) of China under Grant No.s 61903336, U1909215, the Zhejiang Provincial Natural Science Foundation under Grant No. LY21F030015, the Key Research and Development Program of Zhejiang Province under Grant No. 2021C03050, and the Scientific Research Project of Agriculture and Social Development of Hangzhou under Grant No. 2020ZDSJ0881. |
| Uncontrolled Keywords: | biosignal processing,heart rate estimation,low-illumination environments,noise suppression,remote photoplethysmography,biophysics,biomedical engineering ,/dk/atira/pure/subjectarea/asjc/1300/1304 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 04 Nov 2024 11:30 |
| Last Modified: | 12 Nov 2024 13:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/97450 |
| DOI: | 10.1016/j.medengphy.2022.103822 |
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