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  Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death

Skinner, J. E., Meyer, M., Nester, B. A., Geary, U., Taggart, P., Mangione, A., et al. (2009). Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death. Therapeutics and Clinical Risk Management, 5, 671-682.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-2B7D-B Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-2B7E-9
Genre: Journal Article

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 Creators:
Skinner, James E., Author
Meyer, Michael1, Author           
Nester, Brian A., Author
Geary, Una, Author
Taggart, Pamela, Author
Mangione, Antoinette, Author
Ramalanjaona, George, Author
Terregino, Carol, Author
Dalsey, William C,, Author
Affiliations:
1Fractal physiology, Max Planck Institute of Experimental Medicine, Max Planck Society, ou_2173653              

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Free keywords: Autonomic nervous system; Regulatory systems; Electrophysiology; Heart rate variability; Sudden cardiac death; Ventricular arrhythmias; ECG; HRV; PD2i; Nonlinear; Nonlinear chaos
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Language(s): eng - English
 Dates: 2009
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 442285
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Title: Therapeutics and Clinical Risk Management
Source Genre: Journal
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Pages: - Volume / Issue: 5 Sequence Number: - Start / End Page: 671 - 682 Identifier: -