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Obstructive Sleep Apnea Classification With Artificial Neural Network Based On Two Synchronic HRV Series

Aksahin, Mehmet; Erdamar, Aykut; Firat, Hikmet; Ardic, Sadik; Eroğul, Osman (World Scientific Publ Co Pte Ltd, 2015-04)

In the present study, "obstructive sleep apnea (OSA) patients" and "non-OSA patients" were classified into two groups using with two synchronic heart rate variability (HRV) series obtained from electrocardiography (ECG) ...

EEG İşaretlerinin Apne Süreci Analizinde Parametrik Olmayan GSY Tespit Yöntemlerinin Karşılaştırılması

Kocak, Onur; Beytar, Faruk; Firat, Hikmet; Telatar, Ziya; Eroğul, Osman (IEEE, 2015)

Sleep apnea is characterized by complete cessation of airflowin the mouth and nose for at least 10 seconds and it is a disease that causes significant disruption of sleep patterns. In the absence of treatment, it can lead ...