Lossy compression of EEG signals using SPIHT
2011; Institution of Engineering and Technology; Volume: 47; Issue: 18 Linguagem: Inglês
10.1049/el.2011.1037
ISSN1350-911X
AutoresG. Higgins, Brian McGinley, Noel Walsh, Martin Glavin, Edward Jones,
Tópico(s)Advanced Data Compression Techniques
ResumoA 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.
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