Computation of ECG signal features using MCMC modelling in software and FPGA reconfigurable hardware
| Data(s) |
06/06/2014
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| Resumo |
Computational optimisation of clinically important electrocardiogram signal features, within a single heart beat, using a Markov-chain Monte Carlo (MCMC) method is undertaken. A detailed, efficient data-driven software implementation of an MCMC algorithm has been shown. Initially software parallelisation is explored and has been shown that despite the large amount of model parameter inter-dependency that parallelisation is possible. Also, an initial reconfigurable hardware approach is explored for future applicability to real-time computation on a portable ECG device, under continuous extended use. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Elsevier |
| Relação |
http://eprints.qut.edu.au/72789/1/iccs2014_submission_316.pdf DOI:10.1016/j.procs.2014.05.228 Bodisco, Timothy A., D'Netto, Jason, Kelson, Neil A., Banks, Jasmine, & Hayward, Ross F. (2014) Computation of ECG signal features using MCMC modelling in software and FPGA reconfigurable hardware. Procedia Computer Science, 29, pp. 2442-2448. |
| Direitos |
Copyright 2014 The Author(s) This is the author’s version of a work that was accepted for publication in Procedia Computer Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Procedia Computer Science, [VOL 29 (2014)] DOI: 10.1016/j.procs.2014.05.228 |
| Fonte |
School of Chemistry, Physics & Mechanical Engineering; Division of Technology, Information and Learning Support; School of Electrical Engineering & Computer Science; High Performance Computing and Research Support; Science & Engineering Faculty |
| Palavras-Chave | #010401 Applied Statistics #090601 Circuits and Systems #090609 Signal Processing #ECG signal analysis #Markov-chain Monte Carlo #FPGA hardware implementation |
| Tipo |
Journal Article |
