Lossy compression of EEG signals using SPIHT

Edward Jones; M. Glavin

doi:10.1049/el.2011.1037

Lossy compression of EEG signals using SPIHT

Electrical & Electronic Engineering

University of Galway

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

27 Citations (Scopus)

Abstract

A method of compressing electroencephalographic signals using the set partitioning in hierarchical trees (SPIHT) algorithm is described. The signals were compressed at a variety of different compression ratios (CRs), with the loss of signal integrity at each CR determined using the percentage root-mean squared difference between the reconstructed signal and the original. An analysis of the computational complexity of the SPIHT algorithm is also presented, using the Blackfin processor as an example implementation target.

Original language	English (Ireland)
Pages (from-to)	1017-1018
Number of pages	532
Journal	Electronics Letters
Volume	47
Issue number	18
DOIs	https://doi.org/10.1049/el.2011.1037
Publication status	Published - 1 Sep 2011

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Higgins, G,McGinley, B,Walsh, N,Glavin, M,Jones, E
Higgins, G;McGinley, B;Walsh, N;Glavin, M;Jones, E

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10.1049/el.2011.1037

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Lossy compression of EEG signals using SPIHT

Abstract

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