Literature DB >> 10098610

A method for assessment and processing of biomedical signals containing trend and periodic components.

I P Mitov1.   

Abstract

A method for assessment and second-order polynomial detrending of signals containing periodic components is proposed. The analytically derived properties of this method are validated with synthesized signals, processed by the computational procedure developed. It is shown that, in addition to accurate detrending, the proposed method reveals the periodicity of various biomedical and other types of signals and thus contributes to performance improvement of their spectral analysis. An application to processing of R-R interval series is presented.

Mesh：

Year:  1998        PMID： 10098610     DOI： 10.1016/s1350-4533(98)00077-0

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN： 1350-4533            Impact factor:   2.242


  9 in total

1.  Spectral analysis of heart rate variability using the integral pulse frequency modulation model.

Authors:  I P Mitov
Journal:  Med Biol Eng Comput       Date:  2001-05       Impact factor: 2.602

2.  An efficient method of addressing ectopic beats: new insight into data preprocessing of heart rate variability analysis.

Authors:  Feng Wen; Fang-Tian He
Journal:  J Zhejiang Univ Sci B       Date:  2011-12       Impact factor: 3.066

3.  The Ornstein-Uhlenbeck third-order Gaussian process (OUGP) applied directly to the un-resampled heart rate variability (HRV) tachogram for detrending and low-pass filtering.

Authors:  A C Fisher; A Eleuteri; D Groves; C J Dewhurst
Journal:  Med Biol Eng Comput       Date:  2012-06-12       Impact factor: 2.602

4.  A Fyn biosensor reveals pulsatile, spatially localized kinase activity and signaling crosstalk in live mammalian cells.

Authors:  Ananya Mukherjee; Randhir Singh; Sreeram Udayan; Sayan Biswas; Pothula Purushotham Reddy; Saumya Manmadhan; Geen George; Shilpa Kumar; Ranabir Das; Balaji M Rao; Akash Gulyani
Journal:  Elife       Date:  2020-02-04       Impact factor: 8.140

5.  Role of editing of R-R intervals in the analysis of heart rate variability.

Authors:  Mirja A Peltola
Journal:  Front Physiol       Date:  2012-05-23       Impact factor: 4.566

6.  An efficient time-varying filter for detrending and bandwidth limiting the heart rate variability tachogram without resampling: MATLAB open-source code and Internet web-based implementation.

Authors:  A Eleuteri; A C Fisher; D Groves; C J Dewhurst
Journal:  Comput Math Methods Med       Date:  2012-03-06       Impact factor: 2.238

7.  Detection of coronary artery disease by reduced features and extreme learning machine.

Authors:  Ram Sewak Singh; Barjinder Singh Saini; Ramesh Kumar Sunkaria
Journal:  Clujul Med       Date:  2018-04-25

8.  Amplitude- and Fluctuation-Based Dispersion Entropy.

Authors:  Hamed Azami; Javier Escudero
Journal:  Entropy (Basel)       Date:  2018-03-20       Impact factor: 2.524

9.  Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation.

Authors:  Miguel Enrique Sánchez-Hechavarría; Shreya Ghiya; Ramon Carrazana-Escalona; Sergio Cortina-Reyna; Adán Andreu-Heredia; Carlos Acosta-Batista; Nicolás Armando Saá-Muñoz
Journal:  Arq Bras Cardiol       Date:  2019-09-09       Impact factor: 2.000
  9 in total

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