Significant Improvement in Precision of Real-Time Blood Pressure Prediction Based on Complete Cycles of Measured PPGs
Author:
Affiliation:
1. National Yang Ming Chiao Tung University,Department of Electrical and Computer Engineering,Hsinchu,Taiwan,30010
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10324456/10324848/10324952.pdf?arnumber=10324952
Reference18 articles.
1. A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things
2. PP-Net: A Deep Learning Framework for PPG-Based Blood Pressure and Heart Rate Estimation
3. End-to-End Blood Pressure Prediction via Fully Convolutional Networks
4. A Dual-Channel PPG Readout System with Motion-Tolerant Adaptability for OLED-OPD Sensors
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