Rapid Vital Sign Extraction for Real-Time Opto-Physiological Monitoring at Varying Physical Activity Intensity Levels
Author:
Affiliation:
1. Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough, U.K.
2. School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, U.K.
Funder
Loughborough University studentship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/10171108/10104059.pdf?arnumber=10104059
Reference38 articles.
1. A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors
2. An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN
3. Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation
4. PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography
5. TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical Exercise
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