Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure

Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming a...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2006-01, Vol.10 (1), p.182-191
Main Author: Al-Fahoum, A.S.
Format: Article
Language:English
Subjects:
Algorithms
Communication channels
Computer errors
Computer Simulation
Data Compression - methods
Data Interpretation, Statistical
Diagnosis, Computer-Assisted - methods
Dynamic range
Electrocardiograph (ECG)
Electrocardiography
Electroencephalography - methods
Frequency
Hardware
Humans
Models, Neurological
Models, Statistical
percent root mean-squared difference (PRD)
Quality assessment
Quality Assurance, Health Care - methods
Reproducibility of Results
Sensitivity and Specificity
Software
Video compression
wavelet transform
wavelet-based weighted PRD measure (WWPRD)
Wideband
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Summary:Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming at high compression rates. In general, most of the introduced ECG compression techniques depend on their evaluation performance on either inaccurate measures or measures targeting random behavior of error. In this paper, a new wavelet-based quality measure is proposed. A new wavelet-based quality measure is proposed. The new approach is based on decomposing the segment of interest into frequency bands where a weighted score is given to the band depending on its dynamic range and its diagnostic significance. A performance evaluation of the measure is conducted quantitatively and qualitatively. Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests
ISSN:1089-7771
2168-2194
1558-0032
2168-2208
DOI:10.1109/TITB.2005.855554