Peer-Reviewed Journal Details
Mandatory Fields
Higgins, G;McGinley, B;Walsh, N;Glavin, M;Jones, E
2011
September
Electronics Letters
Lossy compression of EEG signals using SPIHT
Published
WOS: 15 ()
Optional Fields
47
1017
1548
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.
0013-5194
10.1049/el.2011.1037
Grant Details
Publication Themes