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

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.