The Use of Wrist EMG Increases the PPG Heart Rate Accuracy in Smartwatches
Author:
Affiliation:
1. Huawei Technologies Oy (Finland) Company Ltd., Helsinki, Finland
2. Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Funder
Device Concept Lab of Huawei Technologies Oy (Finland) Company Ltd.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9984967/09942941.pdf?arnumber=9942941
Reference26 articles.
1. Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks
2. Detection and Removal of Motion Artifacts in PPG Signals
3. Deep Learning for Heart Rate Estimation From Reflectance Photoplethysmography With Acceleration Power Spectrum and Acceleration Intensity
4. Motion artifact reduction for wrist-Worn photoplethysmograph sensors based on different wavelengths;zhang;SENSORS,2019
5. Micromotion Artefact Reduction of a Wrist Worn PPG Sensor Using Green Light PPG and Surface EMG
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