@inproceedings{ee12a66b2ebb40daac5b7f1963408723,
title = "Uyku apne {\"o}n tanisi ama{\c c}li ta{\c s}inabilir bellekli holter kayit cihazi tasarimi",
abstract = "Long time digital data recordings in portable devices have become possible today with widespread usage of high capacity memories. The aim of this study is to obtain a better performance in the sleep apnea analysis by recording portable EKG recording systems as well as different clinically significant signals on flash cards for a long time. Thus in the first stage a Holter Recorder Device is designed to record ECG and respiratory signals for the diagnostic of apnea. The device is designed to handle more than two channels simultaneously. In the second phase of the study, an apnea detection algorithm using Hilbert Transform was chosen and implemented as an example among other algorithms using only ECG signals. Based on the comparison of three selected algorithms (digital filter based, differentiation based and higher order statistics based) to be used for the QRS detection for any apnea detection algorithm, differentiation based algorithm is preferred due to its better performance.",
keywords = "Holter ECG, MMC, Sleep apnea",
author = "{\"O}zg{\"u}r Karadeniz and Atila Yilmaz and Tolga D{\"u}ndar",
year = "2009",
doi = "10.1109/BIYOMUT.2009.5130337",
language = "T{\"u}rk{\c c}e",
isbn = "9781424436064",
series = "Proceedings of 2009 14th National Biomedical Engineering Meeting, BIYOMUT 2009",
booktitle = "Proceedings of 2009 14th National Biomedical Engineering Meeting, BIYOMUT 2009",
note = "2009 14th National Biomedical Engineering Meeting, BIYOMUT 2009 ; Conference date: 20-05-2009 Through 22-05-2009",
}