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Computation of ECG signal features using MCMC modelling in software and FPGA reconfigurable hardware

journal contribution
posted on 2014-01-01, 00:00 authored by Tim Bodisco, J D'Netto, N Kelson, J Banks, R Hayward
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.

History

Journal

Procedia computer science

Volume

29

Season

Proceedings of 14th International Conference on Computational Science

Pagination

2442 - 2448

Publisher

Elsevier

Location

Amsterdam, The Netherlands

eISSN

1877-0509

Language

eng

Publication classification

C Journal article; C1.1 Refereed article in a scholarly journal

Copyright notice

2014, The Authors