Literature DB >> 22182969

Time frequency power profile of QRS complex obtained with wavelet transform in spontaneously hypertensive rats.

Nami K Takano1, Takeshi Tsutsumi, Hiroshi Suzuki, Yoshiwo Okamoto, Toshiaki Nakajima.   

Abstract

We evaluated whether frequency analysis could detect the development of interstitial fibrosis in rats. SHR/Izm and age-matched WKY/Izm were used. Limb lead II electrocardiograms were recorded. Continuous wavelet transform (CWT) was applied for the time-frequency analysis. The integrated time-frequency power (ITFP) between QRS complexes was measured and compared between groups. The ITFP at low-frequency bands (≤125Hz) was significantly higher in SHR/Izm. The percent change of ITFP showed the different patterns between groups. Prominent interstitial fibrosis with an increase in TIMP-1 mRNA expression was also observed in SHR/Izm. These results were partly reproduced in a computer simulation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22182969     DOI: 10.1016/j.compbiomed.2011.11.009

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  1 in total

1.  Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions.

Authors:  Md Rashed-Al-Mahfuz; Mohammad Ali Moni; Pietro Lio'; Sheikh Mohammed Shariful Islam; Shlomo Berkovsky; Matloob Khushi; Julian M W Quinn
Journal:  Biomed Eng Lett       Date:  2021-02-16
  1 in total

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