Hou, Yingyan and Zhu, Fangzheng (2019) Contactless heart rate and respiratory measurement for sleep monitoring. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.
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Abstract
Heart rate and respiration, which are physiological indicators closely related to cardiopulmonary function, are widely used in clinical diagnosis and daily monitoring. This paper proposes a heart rate measurement based on imaging photovoltaic plethysmography (iPPG) and a respiratory measurement method of sift algorithm. We mark the region of interest by dlib. Signal is obtained by color channels separation of ROI and independent component analysis. Next we filter signal with bandpass filter and extract heart rate from the blood volume pulse via Fourier transform. Meanwhile, the trajectory is decomposed into a set of component motions by calculating the feature points at the chest and performing principal component analysis. The composition of the respiration that is most suitable for the calculation is then selected based on its time spectrum. Finally, the peak of the trajectory corresponding to the respiration is determined. This method could be used for contactless sleep monitoring .
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | heart rate respiration contactless sleep monitoring |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
| Depositing User: | EAI Editor I. |
| Date Deposited: | 10 Sep 2020 08:51 |
| Last Modified: | 10 Sep 2020 08:51 |
| URI: | https://eprints.eudl.eu/id/eprint/165 |
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