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Pulse Taking by a Piezoelectric Film Sensor via Mode Energy Ratio Analysis Helps Identify Pregnancy Status
IEEE Journal of Biomedical and Health Informatics
|November 8, 2021
Summary
This study introduces a novel non-invasive system using piezoelectric sensors and Mode Energy Ratio (MER) analysis to monitor pregnancy. The technology accurately identifies pregnancy status and health indicators by analyzing pulse signals, inspired by Traditional Chinese Medicine (TCM).
Area of Science:
- Biomedical Engineering
- Medical Diagnostics
- Traditional Chinese Medicine (TCM) Integration
Background:
- Non-invasive monitoring of pregnancy is crucial for maternal and fetal health.
- Traditional Chinese Medicine (TCM) has utilized pulse diagnosis for over 2,500 years for health assessment.
- Existing diagnostic methods may lack continuous monitoring capabilities or require invasive procedures.
Purpose of the Study:
- To develop and validate a non-invasive system for diagnosing and monitoring pregnancy status.
- To explore the application of piezoelectric pulse sensing and Mode Energy Ratio (MER) analysis for physiological monitoring.
- To integrate principles of Traditional Chinese Medicine (TCM) pulse diagnosis with modern sensing technology.
Main Methods:
- Utilized a Polvinyldene fluoride (PVDF) piezoelectric film sensor to capture human pulse signals, emulating TCM pulse-taking techniques.
- Developed and applied the Mode Energy Ratio (MER) algorithm, based on Empirical Mode Decomposition (EMD), for signal analysis.
- Conducted analysis on pulse data from 83 female volunteers with varying pregnancy statuses.
Main Results:
- Successfully identified and differentiated various pregnancy statuses using the developed system.
- Demonstrated the capability of MER analysis to serve as a physical health indicator during pregnancy.
- Achieved accurate identification and warning of pregnancy status and related health indicators.
Conclusions:
- The piezoelectric film pulse sensing system combined with MER analysis offers a viable non-invasive approach for pregnancy monitoring.
- This technology holds potential for early detection and continuous health assessment during pregnancy.
- The study validates the integration of TCM diagnostic principles with advanced signal processing for modern healthcare applications.
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