November 5, 2025Open Access

Automated Detection of Obstructive Sleep Apnoea by Single-lead ECG through ELM Classification

NSNadi Sadr PCPhilip de ChazalCross-Cutting Cardiology

Key Points

Automated screening accurately detects obstructive sleep apnoea, improving accessibility for patients,
Signal processing techniques enhance ECG utility, reflecting advancements in diagnostic tools for sleep disorders.
Assessment using single-lead ECG identifies sleep apnoea, indicating possibilities for simpler home diagnostics.
This approach highlights the potential economic benefits and ease of use in OSA detection compared to conventional methods.

Abstract

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.

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