A Novel Seizure Detection Method Based on the Feature Fusion of Multimodal Physiological Signals

Author:

Wu Duanpo1ORCID,Wei Jun2ORCID,Vidal Pierre-Paul3,Wang Danping3,Yuan Yixuan4ORCID,Cao Jiuwen5ORCID,Jiang Tiejia6ORCID

Affiliation:

1. School of Communication Engineering and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

2. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

3. Machine Learning and I-Health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China

4. Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

5. Machine Learning and I-Health International Cooperation Base of Zhejiang Province and the Artificial Intelligence Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

6. Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Provincial Universities of Zhejiang

Joint Fund of Zhejiang Provincial Natural Science Foundation of China

NSFC–Zhejiang Integration Joint Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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