@inproceedings{282e4a64ff644102908cfc78de9c37db,
title = "A comparative study of advanced signal processing techniques for detection of coronary artery disease",
abstract = "Recordings of diastolic heart sound segments were analyzed by using three advanced signal processing techniques: the autoregressive (AR), the autoregressive moving average (ARMA), and the minimum-norm (eigenvector) methods. In order to enhance the diastolic heart sounds and eliminate background noise, the adaptive line enhance (ALE) method was used as a preprocessor. These advanced signal processing techniques were used to estimate the model parameters. The poles of the AR, ARMA and the minimum-norm methods were used to diagnose patients as diseased or normal. Results showed that normal and abnormal records were correctly identified in 32 of 38 (36 patient) cases.",
author = "Akay, {Yasemin M.} and Metin Akay and Walter Welkowitz and Semmlow, {John L.} and Kostis, {John B.}",
year = "1991",
language = "English (US)",
isbn = "0780302168",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 5",
pages = "2139--2140",
booktitle = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
edition = "pt 5",
note = "Proceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 31-10-1991 Through 03-11-1991",
}