A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals-Reference-Cited by-同舟云学术

A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals

Published:2024-06 Issue:6 Volume:28 Page:3236-3247
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ahmad Ijaz¹^ORCID,Zhu Mingxing¹^ORCID,Li Guanglin¹^ORCID,Javeed Danish²^ORCID,Kumar Prabhat³^ORCID,Chen Shixiong⁴^ORCID

Affiliation:

1. CAS Key Laboratory of Human-Machine Intelligence Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Software College, Northeastern University, Shenyang, China

3. Department of Software Engineering, LUT School of Engineering Science, LUT University, Lappeenranta, Finland

4. School of Medicine, The Chinese University of Hong Kong, Shenzhen, Guangdong, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Science and Technology Planning Project of Shenzhen

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10550931/10476674.pdf?arnumber=10476674

Reference42 articles.

1. Epilepsy: new advances

2. Automated EEG analysis of epilepsy: A review

3. LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection

4. Feature extraction from EEG spectrograms for epileptic seizure detection

5. Epileptic seizures detection in EEGs blending frequency domain with information gain technique

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