Intelligent Sleep Apnea Detection by Advanced ML Using Single-Lead EEG Signal Data

Obstructive sleep apnea (OSA) is a common sleep disorder that causes repeated disruptions in breathing during sleep. The traditional method to diagnose OSA is polysomnography, which is complex and time-consuming and requires an overnight stay in a sleep lab. However, electroencephalography (EEG) sen...

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Veröffentlicht in:	IEEE sensors journal 2025-01, Vol.25 (2), p.3859-3866
Hauptverfasser:	Khan, Atiya, Biswas, Saroj Kr, Chunka, Chukhu, Baruah, Barnana
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Anomalies Artificial bee colony (ABC) Brain modeling Classification algorithms Data models Data smoothing Datasets Discrete Wavelet Transform discrete wavelet transform (DWT) Discrete wavelet transforms Electrocardiography Electroencephalography electroencephalography (EEG) Ensemble learning Expert systems Feature extraction Gaussian filter isolation forest (IF) Machine learning obstructive sleep apnea (OSA) Sleep apnea Support vector machines Swarm intelligence Wavelet analysis Wavelet transforms
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