A snore extraction method from mixed sound for a mobile snore recorder.
This paper presents a snore recorder that can separate snores from their delayed mixtures. This is useful to study the snore sounds of individuals when these sounds occur in a normal in-home sleeping environment, where two people are sleeping together and both produce sounds. Based on methods for blind source separation, we give a snore separator that solves the blind delayed source separation problem and provide a performance index to monitor its convergence. The separated snores can be analyzed to detect symptoms of sleep apnea prior to polysomnography or as a monitoring device after polysomnography has been performed. Experimental results show good performance of the snore separator.
Nigam
Vivek
V
Electrical and Computer Engineering Department, University of Illinois at Chicago, Chicago 60607, USA. vnigam1@uic.edu
Priemer
Roland
R
D000465:Algorithms; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D020181:Sleep Apnea, Obstructive; D012913:Snoring; D014481:United States