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Automatic detection of sleep apnea events based on inter-band energy ratio obtained from multi-band EEG signal

Suvasish Saha1, Arnab Bhattacharjee1, Shaikh Anowarul Fattah1

  • 1Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Healthcare Technology Letters
|July 26, 2019
PubMed

Keywords:
K-nearest neighbourhood classifierapnoea patientautomatic detectionelectroencephalographyelectroencephalography signal analysisfeature extractioninterband energy ratio featuresmedical disordersmedical signal detectionmedical signal processingmultiband EEG signalnearest neighbour methodsnonapnoea eventssignal classificationsleepsleep apnoea eventssleep disordersubject-specific classification

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