Sleep apnea detection directly from unprocessed ECG through singular spectrum decomposition

Abstract

ECG-based detection of sleep apnea is generally based on heart rate related indices. Computation of these indices requires an ECG record to be pre-processed and the R-peak locations to be estimated. This study proposes a novel method to detect minute-by-minute sleep apnea episodes directly from an unprocessed ECG through singular spectrum decomposition (SSD… (More)

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Cite this paper

@article{Bonizzi2015SleepAD, title={Sleep apnea detection directly from unprocessed ECG through singular spectrum decomposition}, author={Pietro Bonizzi and Jhm Karel and Stef Zeemering and Rlm Peeters}, journal={2015 Computing in Cardiology Conference (CinC)}, year={2015}, pages={309-312} }