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Flexible piezoelectric sensor for pregnant recognition based on the pulse-taking procedure in traditional Chinese medicine

  • Xian Song
  • , Bo Li*
  • , Pengyu Wang
  • , Yizhao Zhou
  • , Jian Wang
  • , Yaqun Wang
  • , Chengbing Fang
  • , Meiyuan Jin
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

73 Downloads (CityUHK Scholars)

Abstract

Traditional Chinese medicine (TCM) is an experienced-based discipline and plays an important role in the current medical system. Digitalizing key features is the best way to con-duct an in-depth analysis of TCM. However, due to its complex generation mechanism, the crucial pulse-taking procedure is hard to be digitalized and analyzed. This article fabricated a flexible piezoelectric sensor to gather data for the pulse-taking procedure. The sensitivity of the proposed flexible sensor reached 0.34 V/kPa, so we adopted peripheral circuits to make its output signals stay in a reasonable range (± 0.5 V) for convenient data collection. We used the sensor to recognize whether a woman is pregnant since it has solid golden standards. The pulse signal was fused via mapping the signal spectrogram into a 3-dimension tensor. The fused matrix was then processed by GoogleNet and reached a 90.48% correction rate. This result shows that the pulse condition has statistical differences, which solidified the objectivity of pulse diagnosis and escalated the TCM's digitalization level. © 2023 The Authors. Engineering Reports published by John Wiley & Sons Ltd.
Original languageEnglish
Article numbere12645
JournalEngineering Reports
Volume5
Issue number11
Online published6 Mar 2023
DOIs
Publication statusPublished - Nov 2023

Research Keywords

  • deep learning
  • flexible sensor
  • piezoelectrical sensor
  • pulse taking

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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