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Morphology Variability Analysis of Wrist Pulse Waveform for Assessment of Arteriosclerosis Status

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Abstract

In this paper, approximate entropy (ApEn) is applied to study the variability of pulse waveform for assessing coronary arteriosclerosis status. Having analyzed the wrist pulse waveforms taken from both normal subjects and the patients suffering from coronary arteriosclerosis (CA) disorders, we find that pulse morphology variability (PMV) is more efficient than pulse interval variability (PIV) in assessing the conditions of human coronary artery. Usually, the PMVs of the healthy are higher than those of the patients with CA diseases, and the PMVs of patients with CA diseases have more high frequency components than those of the healthy subjects. That is to say, the CA disease also has influence on vascular tone. The effect of changes in cardiac performance due to CA disease can be reflected through the PMV. The experiment demonstrates that the specificity and sensitivity of the PMV’s spectral energy ratio for clinical diagnosis of cardiovascular system is 80% and 97%, respectively.

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Acknowledgements

This work is partly supported by the Project CUHK4199/03E, Chinese NSFC Grant 60620160097, and PhD program foundation of The Ministry of Education of China 20040213017. The authors also thank to Prof. Pincus, Michael Small (The Hong Kong Polytechnic University) for very useful suggestions. Thanks to all of the volunteers for providing invaluable pulse data.

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Authors and Affiliations

  1. School of Control Science and Engineering, Shandong University, Jinan, 250061, China

    Lisheng Xu

  2. Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Lisheng Xu & Max Q.-H. Meng

  3. Department of Neurology, Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China

    Xianghua Qi

  4. Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China

    Kuanquan Wang

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  1. Lisheng Xu
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  2. Max Q.-H. Meng
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Correspondence to Lisheng Xu.

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Xu, L., Meng, M.QH., Qi, X. et al. Morphology Variability Analysis of Wrist Pulse Waveform for Assessment of Arteriosclerosis Status. J Med Syst 34, 331–339 (2010). https://doi.org/10.1007/s10916-008-9245-6

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  • DOI: https://doi.org/10.1007/s10916-008-9245-6

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