Multilevel Feature Learning Method for Accurate Interictal Epileptiform Spike Detection

Author:

Cheng Chenchen1ORCID,Liu Yan2ORCID,You Bo3ORCID,Zhou Yuanfeng4,Gao Fei5,Yang Liling5,Dai Yakang2ORCID

Affiliation:

1. Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, and School of Measurement-Control Technology and Communications Engineering, Harbin University of Science and Technology, Harbin, China

2. Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Suzhou, China

3. Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, School of Automation, and School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China

4. Children’s Hospital of Fudan University, Shanghai, China

5. Department of Neurology, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China

Funder

National Nature Science Foundation of China

Ministry of Science and Technology (MOST) 2030 Brain Project

Jiangsu International Cooperation Project

Jiangsu Key Research and Development Plan

Jiangsu Province Basic Research Project of Leading Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

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