1990
DOI: 10.1109/10.52343
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Detection of coronary occlusions using autoregressive modeling of diastolic heart sounds

Abstract: Previous studies have indicated that diastolic heart sounds may contain information useful in the detection of occluded coronary arteries. In this study, recordings of diastolic heart sound segments were modeled by autoregressive (AR) methods including the adaptive recursive least-square lattice (RLSL) and the gradient lattice predictor (GAL). Application of the Akaike criterion demonstrated that between 5 and 15 AR coefficients are required to completely describe a diastolic segment. The reflection coefficien… Show more

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Cited by 77 publications
(42 citation statements)
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“…In the current application the coefficients of the AR model were adjusted with the Burg method to maximize the models capacity to model the signal. Previous studies showed that a model order of 10 is sufficient to represent the signal [2] and, therefore, a model order of 10 was chosen. The absolute pole magnitude of the 1 st pole (PM1) was chosen as the discriminating parameter since it was the strongest discriminator in a preliminary analysis.…”
Section: ‫ݕ‬ሺ݊ሻ = − ܽ ‫ݕ‬ሺ݊ − ‫‬ሻ + ݁ሺ݊ሻ ୀଵmentioning
confidence: 99%
See 1 more Smart Citation
“…In the current application the coefficients of the AR model were adjusted with the Burg method to maximize the models capacity to model the signal. Previous studies showed that a model order of 10 is sufficient to represent the signal [2] and, therefore, a model order of 10 was chosen. The absolute pole magnitude of the 1 st pole (PM1) was chosen as the discriminating parameter since it was the strongest discriminator in a preliminary analysis.…”
Section: ‫ݕ‬ሺ݊ሻ = − ܽ ‫ݕ‬ሺ݊ − ‫‬ሻ + ݁ሺ݊ሻ ୀଵmentioning
confidence: 99%
“…The murmurs are rarely audible, but algorithms to automatically detect the murmurs through signal analysis have been proposed [1][2][3][4][5][6]. The acoustic component related to poststenotic turbulence has been found to be associated with increased energy in the 300-800 Hz frequency band [3].…”
Section: Introductionmentioning
confidence: 99%
“…The proper analysis of heart sound allows non-invasive detection of coronary artery stenosis, and valve disorders causing the heart murmurs [1]. It is possible a computer aided detection of the abnormalities by means of processing and analyzing of the acoustical vibration [2].…”
Section: Introductionmentioning
confidence: 99%
“…This records of acoustic signals are unfortunately disturbed by various factors which effecting as noise. These effects decrease the performance of visual and computerized analysis (Akay, Semmlow et al 1990;Ergen, Tatar et al 2010). …”
Section: Phonocardiogram Denoisingmentioning
confidence: 99%