Pole-Zero Modeling and Classification of Phonocardiograms

Joo, Tae H.; McClellan, J.H.; Foale, Rodney A.; Myers, Gordon S.; Lees, Robert S.

doi:10.1109/tbme.1983.325205

Cited by 48 publications

(4 citation statements)

References 16 publications

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“…The previous studies performed for the analysis and synthesis of the PCG were focused only on the heart sounds. For instance, a pole-zero model (or autoregressive moving average model) was used by Joo et al [5] for the reconstruction of the second heart sound in patients with a bioprosthetic heart valve implanted in the aortic position. Another method proposed by Köymen is the damped sinusoid model [6] which was used to study the power spectra of the first heart sound produced by mechanical prosthetic heart valves implanted in the mitral position.…”

Section: Introductionmentioning

confidence: 99%

Analysis-synthesis of the phonocardiogram based on the matching pursuit method

Zhang

Durand

Senhadji

et al. 1998

IEEE Trans. Biomed. Eng.

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The matching pursuit method of Mallat and Zhang is applied to the analysis and synthesis of phonocardiograms (PCG's). The method is based on a classical Gabor wavelet or time-frequency atom which is the product of a sinusoid and a Gaussian window function. It decomposes a signal into a series of time-frequency atoms by an iterative process based on selecting the largest inner product of the signal (and the subsequent residues) with atoms from a redundant dictionary. The Gaussian window controls the envelope duration and time position of each atom; and the sinusoid represents the frequency. The method was applied to two sets of PCG's: one with very low-noise level and the other with 10% noise energy. Each data base includes 11 PCG's representing the normal and the pathological conditions of the heart. The normalized root-mean-square error (NRMSE) was computed between the original and the reconstructed signals. The results show that the matching pursuit method is very suitable to the transient and complex properties of the PCG's, as it yielded excellent NRMSE's around 2.2% for the two sets of 11 PCG's tested.

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Section: Introductionmentioning

confidence: 99%

Analysis-synthesis of the phonocardiogram based on the matching pursuit method

Zhang

Durand

Senhadji

et al. 1998

IEEE Trans. Biomed. Eng.

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“…

METHOD AND ANALYSISA surgical protocol was designed to implant, in dogs, a Medtronic AV sequen tial rate-programmable pacemaker (Model 7005C) and to destroy the AV node with one to four 0.1 ml formaldehyde inj ec tions.After a recovery period of two to three weeks, a second investigation was then set-up to record the following sig nals: the ECG, the intracardiac left ven tricular and aortic pressures, the intra cardiac left ventricular and aortic phonocardiograms (PCGs), two thoracic PCGs and the left ventricular pressure derivative. The thoracic sounds were recorded with two Hewlett-Packard contact microphones (Model 21050A).

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mentioning

confidence: 99%

“…ABSTRACT Models of valve sound production [1][2] and cl inical studies [3][4][5][6][7][8] have demon strated that the natural modes of reso nance of biological heart valves increase with calcium deposit and stiffening of the valve leaflets.…”

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confidence: 99%

A method for studying the effects of PR and RR intervals on heart sound power spectra

Durand¹,

Langlois²,

Cloutier³

et al. 1988

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Models of valve sound production [1][2] and cl inical studies [3][4][5][6][7][8] have demon strated that the natural modes of reso nance of biological heart valves increase with calcium deposit and stiffening of the valve leaflets.In the course of ex ploring the potential of spectral analy sis of valve closing sounds for the de tection of valvular degeneration, a method was developed for determining, in dog, the influence of PR interval (PRI) and heart rate (HR) on the spectra of intracardiac and thoracic first and sec ond heart sounds. METHOD AND ANALYSISA surgical protocol was designed to implant, in dogs, a Medtronic AV sequen tial rate-programmable pacemaker (Model 7005C) and to destroy the AV node with one to four 0.1 ml formaldehyde inj ec tions.After a recovery period of two to three weeks, a second investigation was then set-up to record the following sig nals: the ECG, the intracardiac left ven tricular and aortic pressures, the intra cardiac left ventricular and aortic phonocardiograms (PCGs), two thoracic PCGs and the left ventricular pressure derivative. The thoracic sounds were recorded with two Hewlett-Packard contact microphones (Model 21050A). The in tracardiac measurements were obtained with a Millar dual-micromanometer catheter (Model SPV 350) inserted into the left or right carotid artery and pushed toward the left ventricle until pressure tracings showed that the distal transducer was in the left ventricle and the proximal in the aorta. All PCGs were processed by third order high-pass fil ters (50 HZ). PRI and HR were then var ied independently by using a Medtronic pacemaker programmer (Model 9710) and the signals recorded on a 8-channel Fostex FM tape recorder. During playback, the recorded sig nals were digitized with 12-bit reso lution by using a Data Translation acqui sition board (Model DT-2801A) installedin an IBM-PC/ AT. A QRS detection algo ri thm was used to synchronize the cohe rent detection of the mitral and aortic valve closing sounds using a cross-corre lation technique. The individual sounds selected were corrected for their jitter and transformed in the frequency domain using a sine-cosine window and a fast Fourier transform algorithm.Estimates of the mitral and aortic closing sound power spectra were obtained by ensemble averaging over 50 cardiac cycles. RESULTS AND DISCUSSIONA typical example of the influence of PRI on the spectra of intracardiac and thoracic heart sounds is shown in Fig. 1. In this preliminary study done in one dog, four PRIs (25, 75, 125 and 175 msec.) were analyzed at a constant HR of 100 bpm. Panel A shows the results for 51 recorded within the left ventricle (S11v) and externally at the apex (Sl ao ) while panel B shows the results for 52 recorded within the aorta (52 �9 ) and ex ternally at the aortic area \62 ). It is clear that, for both intracar �ac and external recordings, the influence of the PRI is significant for Sl and relatively negligible for S2. Fig. 2 shows an example of the in fluence of HR on the spectra of the in tracardiac and thoracic S...

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“…[l7] A number of characterization techniques have been used on phonocardiography signals [18,19] using spectral estimation and modeling.…”

Section: Digital Signal Processing Of Biomedical Signalsmentioning

confidence: 99%

PC-based medical data acquisition and analysis

Green

Parten

Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems

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Biomedical signals are frequently complex waveforms that occur in a very noisy environment. Although the information content and the best way to present this information is under constant study in the medical and research community, advanced signal processing techniques have proven to be invaluable to the analysis of biomedical signals. With the increased capability of personal computers (PCs), the acquisition and analysis of biomedical signals is becoming practical at the individual physician level.This paper describes an inexpensive PC-based system for both data acquisition and analysis. The objective is to provide advanced signal processing tools in an easy to use, inexpensive format.

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Pole-Zero Modeling and Classification of Phonocardiograms

Cited by 48 publications

References 16 publications

Analysis-synthesis of the phonocardiogram based on the matching pursuit method

Analysis-synthesis of the phonocardiogram based on the matching pursuit method

A method for studying the effects of PR and RR intervals on heart sound power spectra

PC-based medical data acquisition and analysis

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