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Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors
Author
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A telemedicine system using communication and information technology to deliver medical signals such as ECG, EEG for long distance medical services has become reality.
In either the urgent treatment or ordinary healthcare, it is necessary to compress these signals for the efficient use of bandwidth.
This paper discusses a quality on demand compression of EEG signals using neural network predictors for telemedicine applications.
The objective is to obtain a greater compression gains at a low bit rate while preserving the clinical information content.
A two-stage compression scheme with a predictor and an entropy encoder is used.
The residue signals obtained after prediction is first thresholded using various levels of thresholds and are further quantized and then encoded using an arithmetic encoder.
Three neural network models, single-layer and multi-layer perceptrons and Elman network are used and the results are compared with linear predictors such as FIR filters and AR modeling.
The fidelity of the reconstructed EEG signal is assessed quantitatively using parameters such as PRD, SNR, cross correlation and power spectral density.
It is found from the results that the quality of the reconstructed signal is preserved at a low PRD thereby yielding better compression results compared to results obtained using lossless scheme.
American Psychological Association (APA)
Sriraam, N.. 2011. Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors. International Journal of Telemedicine and Applications،Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-504098
Modern Language Association (MLA)
Sriraam, N.. Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors. International Journal of Telemedicine and Applications No. 2011 (2011), pp.1-13.
https://search.emarefa.net/detail/BIM-504098
American Medical Association (AMA)
Sriraam, N.. Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors. International Journal of Telemedicine and Applications. 2011. Vol. 2011, no. 2011, pp.1-13.
https://search.emarefa.net/detail/BIM-504098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504098