Literature DB >> 1293441

Optimal time-window duration for computing time/frequency representations of normal phonocardiograms in dogs.

G Jamous1, L G Durand, Y E Langlois, T Lanthier, P Pibarot, S Carioto.   

Abstract

The optimal duration of the time-window used to compute the time-frequency representation (spectrogram) of the phonocardiogram was studied in four dogs by using intracardiac and thoracic measurements of the PCG. The power and cross-spectrograms of the intracardiac and thoracic PCGs were computed using a fast Fourier transform algorithm and a sine-cosine window with 10 per cent decaying functions. A coherence spectrogram was also computed for each dog to study the linear relationship between the two signals and determine the optimal time-window duration. Results show that the optimal range of the time-window duration is between 16 and 32 ms. A time-window shorter than 16 ms spreads out low-frequency components into the higher frequencies and generates a spectrographic representation with poor frequency resolution (> or = 62.5 Hz). A window larger than 32 ms increases the frequency resolution but smears the spectrographic representation of the signal in the time domain and thus cannot correctly reflect the time-varying properties of the signal. In both cases, the amplitude of the coherence function computed between the left ventricular and the thoracic phonocardiograms is overestimated.

Entities:  

Mesh:

Year:  1992        PMID: 1293441     DOI: 10.1007/bf02457829

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  11 in total

1.  Spectral phonocardiography.

Authors:  V A McKUSICK
Journal:  Am J Cardiol       Date:  1959-08       Impact factor: 2.778

2.  Spectral analysis and acoustic transmission of mitral and aortic valve closure sounds in dogs. Part 3. Effects of altering heart rate and P-R interval.

Authors:  L G Durand; Y E Langlois; T Lanthier; R Chiarella; P Coppens; S Carioto; S Bertrand-Bradley
Journal:  Med Biol Eng Comput       Date:  1990-09       Impact factor: 2.602

3.  Pattern classification of the phonocardiogram using linear prediction analysis.

Authors:  A Iwata; N Suzumura; K Ikegaya
Journal:  Med Biol Eng Comput       Date:  1977-07       Impact factor: 2.602

4.  [Contoursonagraphic analysis of heart sound phenomena and sounds produced by various heart valve prostheses].

Authors:  A Aigner
Journal:  Fortschr Med       Date:  1977-09-22

5.  [Sound spectrographic studies of Starr-Edwards aortic valve prosthesis].

Authors:  A Aigner; G Müller; E Knapp; E Raas
Journal:  Z Kardiol       Date:  1973-12

6.  Sound spectrographic diagnosis of aortic ball variance.

Authors:  J C Hylen; F E Kloster; R H Herr; A Starr; H E Griswold
Journal:  Circulation       Date:  1969-06       Impact factor: 29.690

7.  Heart sound analysis: a three dimensional approach. Contour plotting of sound for study of cardiovascular acoustics.

Authors:  D E Winer; L W Perry; C A Caceres
Journal:  Am J Cardiol       Date:  1965-10       Impact factor: 2.778

8.  Modeling of the transfer function of the heart-thorax acoustic system in dogs.

Authors:  L G Durand; J Genest; R Guardo
Journal:  IEEE Trans Biomed Eng       Date:  1985-08       Impact factor: 4.538

9.  Spectral analysis and acoustic transmission of mitral and aortic valve closure sounds in dogs. Part 2. Effects of neuromuscular blockade, sternotomy and pacemaker control, and a two-week recovery period.

Authors:  L G Durand; Y E Langlois; T Lanthier; R Chiarella; P Coppens; S Carioto; S Bertrand-Bradley
Journal:  Med Biol Eng Comput       Date:  1990-07       Impact factor: 2.602

10.  Spectral analysis and acoustic transmission of mitral and aortic valve closure sounds in dogs. Part 1. Modelling the heart/thorax acoustic system.

Authors:  L G Durand; Y E Langlois; T Lanthier; R Chiarella; P Coppens; S Carioto; S Bertrand-Bradley
Journal:  Med Biol Eng Comput       Date:  1990-07       Impact factor: 2.602

View more
  2 in total

1.  Time-frequency analysis of heart murmurs. Part I: Parametric modelling and numerical simulations.

Authors:  F Debiais; L G Durand; P Pibarot; R Guardo
Journal:  Med Biol Eng Comput       Date:  1997-09       Impact factor: 2.602

2.  Cross-Domain Transfer Learning for PCG Diagnosis Algorithm.

Authors:  Kuo-Kun Tseng; Chao Wang; Yu-Feng Huang; Guan-Rong Chen; Kai-Leung Yung; Wai-Hung Ip
Journal:  Biosensors (Basel)       Date:  2021-04-20
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.