A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals
| dc.contributor.author | Cai, Qing | |
| dc.contributor.author | Gao, Zhongke | |
| dc.contributor.author | An, Jianpeng | |
| dc.contributor.author | Gao, Shuang | |
| dc.contributor.author | Grebogi, Celso | |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.date.accessioned | 2021-08-04T23:09:07Z | |
| dc.date.available | 2021-08-04T23:09:07Z | |
| dc.date.embargoedUntil | 2021-08-05 | |
| dc.date.issued | 2021-02 | |
| dc.description | This work was supported by the National Natural Science Foundation of China under Grant Nos. 61922062, and 61873181. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 5 | |
| dc.format.extent | 6277656 | |
| dc.identifier | 172981086 | |
| dc.identifier | 59d0b4df-38a5-48b9-88cf-b1d1ba26ae53 | |
| dc.identifier | 85093916747 | |
| dc.identifier | 000613561600047 | |
| dc.identifier.citation | Cai, Q, Gao, Z, An, J, Gao, S & Grebogi, C 2021, 'A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 2, pp. 777-781. https://doi.org/10.1109/TCSII.2020.3014514 | en |
| dc.identifier.doi | 10.1109/TCSII.2020.3014514 | |
| dc.identifier.iss | 2 | en |
| dc.identifier.issn | 1558-3791 | |
| dc.identifier.other | ORCID: /0000-0002-9811-4617/work/107062059 | |
| dc.identifier.uri | https://hdl.handle.net/2164/16915 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85093916747&partnerID=8YFLogxK | en |
| dc.identifier.vol | 68 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Circuits and Systems II: Express Briefs | en |
| dc.subject | Sleep stage detection | en |
| dc.subject | Limited Penetrable Visibility Graph(LPVG) | en |
| dc.subject | Complex network | en |
| dc.subject | electroencephalogram (EEG) | en |
| dc.subject | Convolutional neural network (CNN) | en |
| dc.subject | limited Penetrable visibility graph(LPVG) | en |
| dc.subject | convolutional neural network (CNN) | en |
| dc.subject | complex network | en |
| dc.subject | Circuits and systems | en |
| dc.subject | Electroencephalography | en |
| dc.subject | Convolution | en |
| dc.subject | Sleep | en |
| dc.subject | Complex networks | en |
| dc.subject | Feature extraction | en |
| dc.subject | Convolutional neural networks | en |
| dc.subject | QC Physics | en |
| dc.subject | Electrical and Electronic Engineering | en |
| dc.subject.lcc | QC | en |
| dc.title | A Graph-Temporal fused dual-input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals | en |
| dc.type | Journal article | en |
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