Title :
Pervasive detection of sleep apnea using medical wireless sensor networks
Author :
Salem, Osman ; Yaning Liu ; Mehaoua, Ahmed
Author_Institution :
LIPADE Lab., Univ. of Paris Descartes, Paris, France
Abstract :
The sleep apnea is a sleep disorder characterized by cessation of respiratory flow (apnea) or a reduction in the flow (hypopnea). This disorder is often invalidating and may in some cases lead to death. During the night, symptoms can include nocturnal choking, heavy snoring, sweating, restless sleep, impotence, and witnessed apnea. As the sleep centers for apnea detection are usually overloaded and inaccessible, an automatic apnea detection algorithm for portable devices is required for in-home detection. In this paper, we propose a lightweight approach for pervasive detection of sleep apnea using Wireless Sensor Networks. The experimental results show that our proposed approach achieves good detection accuracy with low delay and low false alarm rate.
Keywords :
body sensor networks; patient diagnosis; sleep; automatic apnea detection algorithm; hypopnea; in-home detection; medical wireless sensor network; portable device; respiratory flow cessation; respiratory flow reduction; sleep apnea pervasive detection; sleep disorder; Accuracy; Artificial neural networks; Electrocardiography; Feature extraction; Heart rate variability; Sleep apnea; Time series analysis; Anomaly Detection; Heart Rate Variability; Obstructive Sleep Apnea; Wireless Sensors Networks;
Conference_Titel :
e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on
Conference_Location :
Natal
DOI :
10.1109/HealthCom.2014.7001882