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-Reference-Cited by-同舟云学术

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

Published:2012-06-12 Issue:7 Volume:50 Page:737-742
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Fisher A. C.,Eleuteri A.,Groves D.,Dewhurst C. J.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-012-0928-2.pdf

Reference18 articles.

1. Al Ghunaimi B, Hossen A, Hassan MO (2004) Screening of obstructive sleep apnea based on statistical signal characterization of Hilbert transform of RRI data. Technol Health Care 12(1):67–78

2. Clifford GD (2009) ECG statistics, noise, artectacts and missing data. In: Clifford GD, Azuaje F, McSharry P (eds) Advanced methods and tools for ECG data analysis, 1st edn. Artech House, Boston

3. Eleuteri A, Fisher AC, Groves D, Dewhurst C (2012) An efficient time-varying filter for detrending and bandwidth limiting the heart rate variability (HRV) tachogram without resampling: MATLAB open source code and Internet web-based implementation. Comput Math Methods Med 2012. doi: 10.1155/2012/578785

4. Fisher AC (2010) Email contact for MatSOAP. a.c.fisher@liv.ac.uk

5. Fisher AC, Eleuteri A (2010) Simple Object Access Protocol (SOAP) 1.1. http://www.w3.org/TR/2000/NOTE-SOAP-20000508

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