Multi-Feature Fusion Based Convolutional Neural Networks for EEG Epileptic Seizure Prediction in Consumer Internet of Things-Reference-Cited by-同舟云学术

Multi-Feature Fusion Based Convolutional Neural Networks for EEG Epileptic Seizure Prediction in Consumer Internet of Things

Published:2024 Issue: Volume: Page:1-1
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Ahmad Ijaz¹^ORCID,Zhu Mingxing¹,Liu Zhenzhen²,Shabaz Mohammad³^ORCID,Ullah Inam⁴,Tong Michael Chi Fai⁵^ORCID,Sambas Aceng⁶^ORCID,Men Lina²,Chen Yan²,Chen Shixiong¹^ORCID

Affiliation:

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

2. Epilepsy Center, Surgery Division, Shenzhen Children’s Hospital, Shenzhen, China

3. Model Institute of Engineering and Technology, Jammu, J and K, India

4. Department of Computer Engineering, Gachon University, Seongnam, Republic of Korea

5. Chinese University of Hong Kong, Hong Kong, Hong Kong

6. Universiti Sultan Zainal Abidin (UniSZA), Faculty of Informatics and Computing, Besut Campus, Besut, Malaysia

Funder

Shenzhen Children's Hospital

Science and Technology Planning Project of Shenzhen

National Key Research and Development Program of China

Science and Technology Program of Guangdong Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/8306365/10423813.pdf?arnumber=10423813

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