Identifying Characteristic Physiological Patterns of Parkinson's Disease Sufferers using Sample Entropy of Pulse Waves

Mayumi Oyama-Higa, Tokihiko Niwa, Wenbiao Wang, Yoshifumi Kawanabe

Abstract

In this study, we identify characteristic physiological patterns of Parkinson’s disease patients, through analysis of the data of their pulse waves. We find that the sample entropy values of pulse waves, with certain parameters fix (In this case, we define the sample entropy value as “border of Parkinson entropy”, or BPE), is statistically different between Parkinson’s disease sufferers and healthy individuals. In addition, values of the largest Lyapunov exponent computed from the same data are also analysed, and significant difference between the two groups are observed. At the end, we describe an Android tablet that we developed for real-time measurement and analysis of BPE.

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Paper Citation


in Harvard Style

Oyama-Higa M., Niwa T., Wang W. and Kawanabe Y. (2018). Identifying Characteristic Physiological Patterns of Parkinson's Disease Sufferers using Sample Entropy of Pulse Waves.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-281-3, pages 189-196. DOI: 10.5220/0006627801890196


in Bibtex Style

@conference{healthinf18,
author={Mayumi Oyama-Higa and Tokihiko Niwa and Wenbiao Wang and Yoshifumi Kawanabe},
title={Identifying Characteristic Physiological Patterns of Parkinson's Disease Sufferers using Sample Entropy of Pulse Waves},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2018},
pages={189-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006627801890196},
isbn={978-989-758-281-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Identifying Characteristic Physiological Patterns of Parkinson's Disease Sufferers using Sample Entropy of Pulse Waves
SN - 978-989-758-281-3
AU - Oyama-Higa M.
AU - Niwa T.
AU - Wang W.
AU - Kawanabe Y.
PY - 2018
SP - 189
EP - 196
DO - 10.5220/0006627801890196