Elsevier

Procedia Computer Science

Volume 29, 2014, Pages 2442-2448
Procedia Computer Science

Computation of ECG Signal Features Using MCMC Modelling in Software and FPGA Reconfigurable Hardware

https://doi.org/10.1016/j.procs.2014.05.228Get rights and content
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Abstract

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.

Keywords

ECG signal analysis
Markov-chain Monte Carlo
FPGA hardware implementation

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Selection and peer-review under responsibility of the Scientific Programme Committee of ICCS 2014.