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- W2913234498 abstract "A piezoelectret pulse sensor combined with the approximate entropy (ApEn) analysis is utilized to detect human pulses to reveal health conditions. Inspired by the traditional Chinese medicine (TCM) with a foundation of more than 2500 years, human pulses are helpful in the diagnostics of illness as the body's vital energy circulates through blood vessels with branches connected to organs. A flexible cellular polypropylene (PP) piezoelectret film with a wooden cylinder substrate is used to emulate the pulse taking process in TCM to record the pulse characteristics. A group of 26 volunteers have been successfully diagnosed by the wearable sensing system and the approximate entropy analysis has been implemented to analyze the data. Results show a threshold approximate entropy value of 0.1 as the separation point between the volunteers of normal and abnormal health conditions." @default.
- W2913234498 created "2019-02-21" @default.
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- W2913234498 date "2019-04-01" @default.
- W2913234498 modified "2023-10-14" @default.
- W2913234498 title "Human pulses reveal health conditions by a piezoelectret sensor via the approximate entropy analysis" @default.
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- W2913234498 doi "https://doi.org/10.1016/j.nanoen.2019.01.092" @default.
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