Effect of Epoch Length on Compressed Sensing of EEG
aut.relation.conference | 40th International Conference of the IEEE Engineering in Medicine and Biology Society | en_NZ |
aut.researcher | Li, Xuejun | |
dc.contributor.author | Li, XJ | en_NZ |
dc.contributor.author | Phuong, DT | en_NZ |
dc.contributor.author | Griffin, A | en_NZ |
dc.date.accessioned | 2019-02-25T02:52:49Z | |
dc.date.available | 2019-02-25T02:52:49Z | |
dc.date.copyright | 2018-07-17 | en_NZ |
dc.date.issued | 2018-07-17 | en_NZ |
dc.description.abstract | Aging populations are stretching existing healthcare systems to their limits in both developing and developed countries. Telemedicine is a promising solution to this challenging problem. Under the conventional data compression paradigm, long-time recording of electroencephalography (EEG) signals still generates excessive amount of data, which requires large data storage and long transmission time. While promoting mobile telemedicine with compressed sensing (CS) as a key system for EEG monitoring, this paper investigates the effect of epoch length on CS to compress EEG signals. Experimental results show that a longer epoch length leads to better signal compression at the expense of larger signal reconstruction time. At a sampling frequency of 256 Hz, a 4-s epoch length is suitable when using a general desktop computer to perform signal reconstruction. | |
dc.identifier.citation | 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, 2018, pp. 1-4. doi: 10.1109/EMBC.2018.8513085 | |
dc.identifier.doi | 10.1109/EMBC.2018.8513085 | |
dc.identifier.uri | https://hdl.handle.net/10292/12282 | |
dc.publisher | IEEE | |
dc.relation.uri | https://ieeexplore.ieee.org/document/8513085 | |
dc.rights | Copyright © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
dc.rights.accessrights | OpenAccess | en_NZ |
dc.subject | Electroencephalography; Telemedicine; Medical services; Dictionaries; Sensors; Compressed sensing; Data compression | |
dc.title | Effect of Epoch Length on Compressed Sensing of EEG | en_NZ |
dc.type | Conference Contribution | |
pubs.elements-id | 337796 | |
pubs.organisational-data | /AUT | |
pubs.organisational-data | /AUT/Design & Creative Technologies | |
pubs.organisational-data | /AUT/Design & Creative Technologies/Engineering, Computer & Mathematical Sciences | |
pubs.organisational-data | /AUT/PBRF | |
pubs.organisational-data | /AUT/PBRF/PBRF Design and Creative Technologies | |
pubs.organisational-data | /AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS |
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