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Scientific Programming
Volume 2016, Article ID 5642856, 9 pages
http://dx.doi.org/10.1155/2016/5642856
Research Article

Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals

1School of Automation, Chongqing University, Chongqing, China
2Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Ministry of Education, Chongqing, China
3School of Software Engineering, Chongqing University, Chongqing, China

Received 16 June 2016; Accepted 17 August 2016

Academic Editor: X. Wang

Copyright © 2016 Kai Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Kai Wang, Youjin Zhao, Qingyu Xiong, et al., “Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals,” Scientific Programming, vol. 2016, Article ID 5642856, 9 pages, 2016. https://doi.org/10.1155/2016/5642856.