CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy

Sleep disorders pose serious cardiovascular threats if not treated effectively. However, adherence to Continuous Positive Airway Pressure (CPAP), the most recommended therapy, is known to be challenging to monitor. Telemonitored CPAP equipment has improved the follow-up of CPAP adherence (hours of u...

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Auteurs principaux:	Jose F. Rodrigues, Sebastien Bailly, Jean-Louis Pepin, Lorraine Goeuriot, Gabriel Spadon, Sihem Amer-Yahia
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-07-01
Collection:	Applied Sciences
Sujets:	CPAP machine learning time series gaussian mixture clustering motif
Accès en ligne:	https://www.mdpi.com/2076-3417/12/15/7618
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