Non-contact Heart Rate Estimation Based on Joint Approximate Diagonalization of Eigenmatrices Algorithm_Journal of Biomedical Engineering

Authors：

WANGYingzhi ,  HANTailin

College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;

Corresponding author：

HANTailin, Email: 109099902@qq.com

Keywords：

facial image; joint approximate diagonalization of eigenmatrices algorithm; heart rate; non-contact measurement

DOI：

10.7507/1001-5515.20140136

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Based on the imaging photoplethysmography (iPPG) and blind source separation (BSS) theory the author put forward a method for non-contact heartbeat frequency estimation. Using the recorded video images of the human face in the ambient light with Webcam, we detected the human face through software, separated the detected facial image into three channels RGB components. And then preprocesses i.e. normalization, whitening, etc. were carried out to a certain number of RGB data. After the independent component analysis (ICA) theory and joint approximate diagonalization of eigenmatrices (JADE) algorithm were applied, we estimated the frequency of heart rate through spectrum analysis. Taking advantage of the consistency of Bland-Altman theory analysis and the commercial Pulse Oximetry Sensor test results, the root mean square error of the algorithm result was calculated as 2.06 beat/min. It indicated that the algorithm could realize the non-contact measurement of heart rate and lay the foundation for the remote and non-contact measurement of multi-parameter physiological measurements.

Citation： WANGYingzhi, HANTailin. Non-contact Heart Rate Estimation Based on Joint Approximate Diagonalization of Eigenmatrices Algorithm. Journal of Biomedical Engineering, 2014, 31(4): 729-733. doi: 10.7507/1001-5515.20140136 Copy

1.	POHL M Z, MCDUFF D J, PICARD R W. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation[J]. Opt Express, 2010, 18(10): 10762-10774.
2.	罗志昌,张松,杨益民.脉搏波的工程分析与临床应用[M].北京:科学出版社,2006:165-166.
3.	顾瑛,姜澜,赵秀梅,等.光动力疗法对鲜红斑痣皮肤血流量影响的研究[J].中国激光医学杂志,1995,4(3):23-26.
4.	于常青,刘杰,窦晓鸣,等.含有光敏剂的人体皮肤的激光诱导荧光光谱分析[J].光谱学与光谱分析,2003,23(6):1150-1153.
5.	黄宝华,陈荣,曾海山,等.皮肤组织血液含量对皮肤光谱的影响[J].光谱学与光谱分析,2007,27(1):95-98.
6.	张启发,张斌,张喜斌.盲信号处理及应用[M].西安:西安电子科技大学出版社,2006: 1.
7.	史习智.盲信号处理[M].上海:上海交通大学出版社,2008:3-4.
8.	杨福生,洪波.独立分量分析的原理与应用[M].北京:清华大学出版社,2006.
9.	CARDOSO J F. High-order contrasts for independent component analysis[J]. Neur Comput, 1999, 11(1): 157-192.
10.	VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features[C]//Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai, HI, USA: 2001, 1: 1-511-1-518.
11.	LIENHART R, MAYDT J. An extended set of Haar-like features for rapid object detection[C]//Proceedings of 2002 International Conference on Image Processing. Rochester, New York, USA: 2002, 1: 1-900-1-903.
12.	胡静,王成,李章俊,等.基于光电脉搏波描记方法的多生理参数测量研究[J].光电子·激光,2012,23( 08):1631-1634.
13.	朱慧,王昱,于文龙.脉搏呼吸率提取方法的研究[J].武汉理工大学学报(信息与管理工程版),2012,34(4):441-444.
14.	郎晓华,俞梦孙.容积脉搏波在吸相和呼相间的变异性[J].中国生物医学工程学报,2011,30(1):17-21.
15.	赵海,彭海霞,朱剑,等.一种间接测量人体血压值的新方法[J].东北大学学报(自然科学版),2012,33(2):191-194.

1. POHL M Z, MCDUFF D J, PICARD R W. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation[J]. Opt Express, 2010, 18(10): 10762-10774.
2. 罗志昌,张松,杨益民.脉搏波的工程分析与临床应用[M].北京:科学出版社,2006:165-166.
3. 顾瑛,姜澜,赵秀梅,等.光动力疗法对鲜红斑痣皮肤血流量影响的研究[J].中国激光医学杂志,1995,4(3):23-26.
4. 于常青,刘杰,窦晓鸣,等.含有光敏剂的人体皮肤的激光诱导荧光光谱分析[J].光谱学与光谱分析,2003,23(6):1150-1153.
5. 黄宝华,陈荣,曾海山,等.皮肤组织血液含量对皮肤光谱的影响[J].光谱学与光谱分析,2007,27(1):95-98.
6. 张启发,张斌,张喜斌.盲信号处理及应用[M].西安:西安电子科技大学出版社,2006: 1.
7. 史习智.盲信号处理[M].上海:上海交通大学出版社,2008:3-4.
8. 杨福生,洪波.独立分量分析的原理与应用[M].北京:清华大学出版社,2006.
9. CARDOSO J F. High-order contrasts for independent component analysis[J]. Neur Comput, 1999, 11(1): 157-192.
10. VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features[C]//Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai, HI, USA: 2001, 1: 1-511-1-518.
11. LIENHART R, MAYDT J. An extended set of Haar-like features for rapid object detection[C]//Proceedings of 2002 International Conference on Image Processing. Rochester, New York, USA: 2002, 1: 1-900-1-903.
12. 胡静,王成,李章俊,等.基于光电脉搏波描记方法的多生理参数测量研究[J].光电子·激光,2012,23( 08):1631-1634.
13. 朱慧,王昱,于文龙.脉搏呼吸率提取方法的研究[J].武汉理工大学学报(信息与管理工程版),2012,34(4):441-444.
14. 郎晓华,俞梦孙.容积脉搏波在吸相和呼相间的变异性[J].中国生物医学工程学报,2011,30(1):17-21.
15. 赵海,彭海霞,朱剑,等.一种间接测量人体血压值的新方法[J].东北大学学报(自然科学版),2012,33(2):191-194.

Previous Article
Surface Electromyogram Denoising Using Adaptive Wavelet Thresholding
Next Article
Research on Pretreatment and Envelope Extraction Algorithm of Heart Sound Signal

Journal of Biomedical Engineering

Non-contact Heart Rate Estimation Based on Joint Approximate Diagonalization of Eigenmatrices Algorithm

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content