System Light-Loading Technology for mHealth: Manifold-Learning-Based Medical Data Cleansing and Clinical Trials in WE-CARE Project

Cardiovascular disease (CVD) is a major issue to public health. It contributes 41% to the Chinese death rate each year. This huge loss encouraged us to develop a Wearable Efficient teleCARdiology systEm (WE-CARE) for early warning and prevention of CVD risks in real time. WE-CARE is expected to work...

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Bibliographic Details
Published in:	IEEE journal of biomedical and health informatics Vol. 18; no. 5; pp. 1581 - 1589
Main Authors:	Anpeng Huang, Wenyao Xu, Zhinan Li, Linzhen Xie, Sarrafzadeh, Majid, Xiaoming Li, Cong, Jason
Format:	Journal Article
Language:	English
Published:	United States IEEE 01-09-2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Cardiovascular Diseases - diagnosis Clinical trials Early Diagnosis Electrocardiography Electrocardiography, Ambulatory - instrumentation Electrocardiography, Ambulatory - methods Humans Manifold learning Manifold-based ECG-feature Purification (MEP) Manifolds Medical Informatics Applications mHealth (mobile health) Mobile communication Proposals Public health Real-time systems Signal Processing, Computer-Assisted system light-loading Telemedicine - instrumentation Telemedicine - methods Wearable Efficient teleCARdiology systEm (WE-CARE) Wireless communication
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