A Machine Learning-Empowered System for Long-Term Motion-Tolerant Wearable Monitoring of Blood Pressure and Heart Rate With Ear-ECG/PPG

A Machine Learning-Empowered System for Long-Term Motion-Tolerant Wearable Monitoring of Blood Pressure and Heart Rate With Ear-ECG/PPG

In this paper, we propose a fully ear-worn long-term blood pressure (BP) and heart rate (HR) monitor to achieve a higher wearability. Moreover, to enable practical application scenarios, we present a machine learning framework to deal with severe motion artifacts induced by head movements. We sugges...

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Bibliographic Details
Main Authors: Qingxue Zhang, Xuan Zeng, Wenchuang Hu, Dian Zhou
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Wearable computers
blood pressure
heart rate
photoplethysmogram
electrocardiography
pulse transit time
Online Access:https://ieeexplore.ieee.org/document/7933339/

Internet

https://ieeexplore.ieee.org/document/7933339/

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