Document Detail


Analysis of tractable distortion metrics for EEG compression applications.
MedLine Citation:
PMID:  22735392     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Coding distortion in lossy electroencephalographic (EEG) signal compression methods is evaluated through tractable objective criteria. The percentage root-mean-square difference, which is a global and relative indicator of the quality held by reconstructed waveforms, is the most widely used criterion. However, this parameter does not ensure compliance with clinical standard guidelines that specify limits to allowable noise in EEG recordings. As a result, expert clinicians may have difficulties interpreting the resulting distortion of the EEG for a given value of this parameter. Conversely, the root-mean-square error is an alternative criterion that quantifies distortion in understandable units. In this paper, we demonstrate that the root-mean-square error is better suited to control and to assess the distortion introduced by compression methods. The experiments conducted in this paper show that the use of the root-mean-square error as target parameter in EEG compression allows both clinicians and scientists to infer whether coding error is clinically acceptable or not at no cost for the compression ratio.
Authors:
Carlos Bazán-Prieto; Manuel Blanco-Velasco; Julián Cárdenas-Barrera; Fernando Cruz-Roldán
Publication Detail:
Type:  Journal Article     Date:  2012-06-27
Journal Detail:
Title:  Physiological measurement     Volume:  33     ISSN:  1361-6579     ISO Abbreviation:  Physiol Meas     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-06-27     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  1237-47     Citation Subset:  IM    
Affiliation:
Departamento de Telecomunicaciones y Electrónica, Universidad Central 'Marta Abreu' de Las Villas, Santa Clara, Cuba.
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