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2018 RECOGNOTION OF SLEEP APNEA DISEASE USING SUPPORT VECTOR MACHINES TECHNIQUE FROM ECG RECORDINGS

The purpose of this study, it is to determine the apnea estimation called sleep apneas based on Polysomnography (PSG) name of the recorded signals with the aid of the device for called cessation of breathing. In this study, sleep laboratory recordings obtained from the electrocardiogram (ECG) signals are used and these signals are aimed to predictions for diagnosing apnea processed in Matlab. Signals considering arithmetical ratios between RR intervals were used various parameters. As a result, the power of the ECG signal by the presence of the spectral density of obstructive apnea hypopnea and apnea cases have been identified in the estimation accuracy rate of 88.57%

International Rating Academy Congress : Applied Sciences
IRAC

Sebahattin BABUR Burcu BEKTAŞ Uğur TURHAL

323 216
Subject Area: Engineering Broadcast Area: International Type: Oral Paper Language: English