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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.11
- 수록면
- 1,388 - 1,395 (8page)
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초록· 키워드
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Daily monitoring of the heart rate can facilitate detection of heart-related diseases in their early stages. Therefore, providing an easy-to-use and noninvasive heart rate monitoring system has been a very popular research topic in the field of healthcare. One of good candidate methods is to use commonly available cameras and extract information that can help to estimate heart rate from a human face. Generally, such information can be retrieved using two different approaches: photoplethysmography (PPG) and ballistocardiography (BCG). PPG exploits slight color changes caused by blood volume variations during heartbeats; thus, it tends to be vulnerable to unstable lighting conditions. BCG exploits subtle head motions caused by pumped blood travelling through the carotid artery during heartbeats; thus, it is vulnerable to the voluntary head movements that are not related to heartbeats. Nevertheless, most related works use either to estimate the heart rate. In this paper, we propose to combine two approaches to be robust to challenging conditions. Specifically, we explore possible ways to combine raw signals obtained from two approaches and verify that the proposed combination shows better accuracies under challenging conditions, such as voluntary head movements and ambient lighting changes.
목차
ABSTRACT
1. INTRODUCTION
2. RELATED WORK
3. THE PROPOSED COMBINATION METHOD
4. EXPERIMENTAL RESULTS AND ANALYSIS
5. CONCLUSION AND FUTURE WORK
REFERENCE
참고문헌 (17)
참고문헌 신청
E.J. Benjamin, P. Muntner, A. Alonso, M.S. Bittencourt, C.W. Callaway, A.P. Carson et al., “Heart Disease and Stroke Statistics-2019 Update: A Report from the American Heart Association,” Circulation, Vol. 139, No. 10, pp. e56-e528, 2019.
A.B. Hertzman and J.B. Dillon, “Applications of Photoelectric Plethysmography in Peripheral Vascular Disease,” American Heart Journal, Vol. 20, No. 6, pp. 750-761, 1940.
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote Heart Rate Measurement from Face Videos under Realistic Situations,” Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4264- 4271, 2014.
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J.F. Cohn, and N. Sebe, “Self-adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions,” Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2396-2404, 2016.
A. Lam and Y. Kuno, “Robust Heart Rate Measurement from Video Using Select Random Patches,” Proceeding of the IEEE International Conference on Computer Vision, pp. 3640-3648, 2015.
A.B. Hertzman and J.B. Dillon, “Applications of Photoelectric Plethysmography in Peripheral Vascular Disease,” American Heart Journal, Vol. 20, No. 6, pp. 750-761, 1940.
X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote Heart Rate Measurement from Face Videos under Realistic Situations,” Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4264- 4271, 2014.
S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, J.F. Cohn, and N. Sebe, “Self-adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions,” Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2396-2404, 2016.
A. Lam and Y. Kuno, “Robust Heart Rate Measurement from Video Using Select Random Patches,” Proceeding of the IEEE International Conference on Computer Vision, pp. 3640-3648, 2015.
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