Automated detection of obstructive sleep apnoea by single-lead ECG through ELM classification

This study aims to provide automated screening of obstructive sleep apnoea (OSA) by ECG signal processing. Using ECG as an OSA diagnosis tool is an attractive alternative as it is low-cost and the diagnostic test can be performed at home.