Classıfıcation of sleep apnea by using wavelet transform and artificial neural networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference63 articles.
1. Comparison of wavelet transform and FFT methods in the analysis of EEG signals;Akin;Journal of Medical Systems,2002
2. Estimating vigilance level by using EEG and EMG signals;Akin,2007
3. Sleep related breathing disorders in adults: Recommendations for syndrome definition and measurement techniques in clinical research;American Academy of Sleep Medicine;Sleep,1999
4. Hypercapnia can induce arousal from sleep in the absence of altered respiratory mechanoreception;Ayas;American Journal of Respiratory and Critical Care Medicine,2000
5. The walla walla project;Ball;Archives of Internal Medicine,1997
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