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Computational and Mathematical Methods in Medicine
Volume 2012, Article ID 578785, 6 pages
http://dx.doi.org/10.1155/2012/578785
Research Article

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

1Department of Medical Physics & Clinical Engineering, Royal Liverpool & Broadgreen University Hospital, Liverpool L7 8XP, UK
2National Refractory Angina Centre, Royal Liverpool & Broadgreen University Hospital, Liverpool L7 8XP, UK
3Department of Neonatal Medicine, Liverpool Women’s Hospital, Liverpool L8 7SS, UK

Received 13 May 2011; Revised 3 November 2011; Accepted 21 November 2011

Academic Editor: Quan Long

Copyright © 2012 A. Eleuteri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Antonio Fasano, and Valeria Villani, “Statistical assessment of performance of algorithms for detrending RR series,” 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3335–3338, . View at Publisher · View at Google Scholar
  • Mokhtar Mohammadi, Ali Akbar Pouyan, Vahid Abolghasemi, and Nabeel Ali Khan, “Radon transform for adaptive directional time-frequency distributions: Application to seizure detection in EEG signals,” 2017 3rd Iranian Conference on Intelligent Systems and Signal Processing (ICSPIS), pp. 5–10, . View at Publisher · View at Google Scholar
  • A. C. Fisher, A. Eleuteri, D. Groves, and C. J. Dewhurst, “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,” Medical & Biological Engineering & Computing, vol. 50, no. 7, pp. 737–742, 2012. View at Publisher · View at Google Scholar
  • Fan Zhang, Shixiong Chen, Haoshi Zhang, Xiufeng Zhang, and Guanglin Li, “Bioelectric signal detrending using smoothness prior approach,” Medical Engineering & Physics, 2014. View at Publisher · View at Google Scholar
  • A C Fisher, D Groves, A Eleuteri, P Mesum, D Patterson, and P Taggart, “Heart rate variability at limiting stationarity: evidence of neuro-cardiac control mechanisms operating at ultra-low frequencies,” Physiological Measurement, vol. 35, no. 2, pp. 309–322, 2014. View at Publisher · View at Google Scholar
  • Christine Denby, David G Groves, Antonio Eleuteri, Hoo kee Tsang, Austin Leach, Clare Hammond, John D Bridson, Michael Fisher, Matthew Elt, Robert Laflin, and Anthony C Fisher, “Temporary sympathectomy in chronic refractory angina: a randomised, double-blind, placebo-controlled trial,” British Journal of Pain, vol. 9, no. 3, pp. 142–148, 2015. View at Publisher · View at Google Scholar
  • Birte von Haaren, Joerg Ottenbacher, Julia Muenz, Rainer Neumann, Klaus Boes, and Ulrich Ebner-Priemer, “Does a 20-week aerobic exercise training programme increase our capabilities to buffer real-life stressors? A randomized, controlled trial using ambulatory assessment,” European Journal of Applied Physiology, 2015. View at Publisher · View at Google Scholar
  • Mario Estévez, Calixto Machado, Gerry Leisman, Talía Estévez-Hernández, Asdrúbal Arias-Morales, Andrés Machado, and Julio Montes-Brown, “Spectral analysis of heart rate variability,” International Journal on Disability and Human Development, vol. 15, no. 1, pp. 5–17, 2016. View at Publisher · View at Google Scholar
  • Mokhtar Mohammadi, Ali Akbar Pouyan, Nabeel Ali Khan, and Vahid Abolghasemi, “An improved design of adaptive directional time-frequency distributions based on the Radon transform,” Signal Processing, 2018. View at Publisher · View at Google Scholar
  • Maheswari Arumugam, and Arun Kumar Sangaiah, “An intelligent paradigm for denoising motion artefacts in ECG preprocessing: Smart filters,” International Journal of Embedded Systems, vol. 10, no. 4, pp. 260–272, 2018. View at Publisher · View at Google Scholar