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• W2898878745 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." @default.
• W2898878745 created "2018-11-09" @default.
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• W2898878745 date "2018-07-01" @default.
• W2898878745 modified "2023-09-27" @default.
• W2898878745 title "Effect of Epoch Length on Compressed Sensing of EEG" @default.
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• W2898878745 doi "https://doi.org/10.1109/embc.2018.8513085" @default.
• W2898878745 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30440297" @default.
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