| Title | LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection |
| Author | |
| Publication Years | 2022
|
| DOI | |
| Source Title | |
| ISSN | 2168-2208
|
| Volume | PPIssue:99Pages:1-13 |
| Keywords | |
| URL | [Source Record] |
| SUSTech Authorship | Others
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9960737 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/415468 |
| Department | Department of Biomedical Engineering |
| Affiliation | 1.School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China 2.Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Siyuan Qiu,Wenjin Wang,Hailong Jiao. LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection[J]. IEEE Journal of Biomedical and Health Informatics,2022,PP(99):1-13.
|
| APA |
Siyuan Qiu,Wenjin Wang,&Hailong Jiao.(2022).LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection.IEEE Journal of Biomedical and Health Informatics,PP(99),1-13.
|
| MLA |
Siyuan Qiu,et al."LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection".IEEE Journal of Biomedical and Health Informatics PP.99(2022):1-13.
|
| Files in This Item: | There are no files associated with this item. | |||||
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