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Classification of Sleep Apnea through Sub-band Energy of Abdominal Effort Signal Using Wavelets + Neural Networks
The Journal of Medical Systems, 06/25/09
Sezgin N et al. - The ANN was configured to give three outputs dedicated to SAS cases; obstructive sleep apnea (OSA), central sleep apnea (CSA) and mixed sleep apnea (MSA). Through the network, satisfactory results that rewarding 85.62% mean accuracy in classifying SAS were obtained.
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Daytime napping and mortality, with a special reference to cardiovascular disease: the JACC study
International Journal of Epidemiology, 11/11/09
Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis
Diabetes Care, 11/20/09
Armodafinil for Treatment of Excessive Sleepiness Associated With Shift Work Disorder: A Randomized Controlled Study
Mayo Clinic Proceedings, 11/03/09
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