Application of Sample Entropy of Pulse Waves in Identifying Characteristic Physiological Patterns of Parkinson’s Disease Sufferers
| Autor: | Fumitake Ou, Yoshifumi Kawanabe, Tokihiko Niwa, Mayumi Oyama-Higa |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Parkinson's disease Significant difference 02 engineering and technology Lyapunov exponent Audiology medicine.disease Sample entropy 03 medical and health sciences symbols.namesake 0302 clinical medicine Clinical diagnosis Healthy individuals 0202 electrical engineering electronic engineering information engineering medicine symbols Pulse wave 020201 artificial intelligence & image processing Psychology 030217 neurology & neurosurgery |
| Zdroj: | Biomedical Engineering Systems and Technologies ISBN: 9783030291952 BIOSTEC (Selected Papers) |
| DOI: | 10.1007/978-3-030-29196-9_23 |
| Popis: | While there are plenty of studies on clinical diagnosis of Parkinson’s disease, little literature is available on the possibility of simple tests that can help distinguish Parkinson’s disease sufferers from healthy individuals. In our study, by making use of pulse wave data, we identify physiological patterns characteristic of Parkinson’s disease patients. We observe that the sample entropy values of pulse waves, with certain parameters fixed, is statistically different between Parkinson’s disease sufferers and healthy individuals. We also find significant difference between the two groups in values of the largest Lyapunov exponent computed from the same pulse wave data. In addition, we introduce an Android tablet that in which the real-time measurement and analysis functions are incorporated. With this device, it takes only 5 s to produce a test result. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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