Distinguishing Obstructive Sleep Apnea Using Electroencephalography Records

In this study, it was aimed to find out whether electroencephalographic (EEG) frequency bands can be used distinguish people with obstructive sleep apnea (OSA) from those who do not have it. 11842 different cases taken 121 patients suffering OSA were combined the case study of 30-person control group without apnea. Apneas highlighted at respiration-record channels and EEG records which are concurrent abnormal respiration extracted C4-A1 C3-A2. Following that, they examined Fourier Wavelet Transforms using a new software that developed by us. The percentage values Delta (0, 5-4 Hz), Theta (4-8 Alpha (8-13 Hz) Beta (13-30 evaluated help t-test ROC Analysis differentiate between apneas. C3-A2 (%) level gave highest distinguishing asset (AUC=0.662; p