CPAP Adherence Assessment via Gaussian Mixture Modeling of Telemonitored Apnea Therapy

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...

Full description

Bibliographic Details
Main Authors: Jose F. Rodrigues, Sebastien Bailly, Jean-Louis Pepin, Lorraine Goeuriot, Gabriel Spadon, Sihem Amer-Yahia
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
CPAP
machine learning
time series
gaussian mixture
clustering
motif
Online Access:https://www.mdpi.com/2076-3417/12/15/7618

Internet

https://www.mdpi.com/2076-3417/12/15/7618

Similar Items