Journal ArticleDOI
Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure
Amjed S. Al-Fahoum
- Vol. 10, Iss: 1, pp 182-191
Reads0
Chats0
TLDR
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.Abstract:
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 testsread more
Citations
More filters
Journal ArticleDOI
Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems
Ayman Ibaida,Ibrahim Khalil +1 more
TL;DR: A wavelet-based steganography technique has been introduced which combines encryption and scrambling technique to protect patient confidential data and it is found that the proposed technique provides high-security protection for patients data with low distortion and ECG data remain diagnosable after watermarking.
Journal ArticleDOI
Wavelet energy based diagnostic distortion measure for ECG
TL;DR: Wavelet Energy based diagnostic distortion (WEDD) provides a better prediction accuracy and exhibits a statistically better monotonic relationship with the MOS ratings than Wavelet based weighted percentage root mean square difference (PRD) measure (WWPRD), PRD and other objective measures.
Journal ArticleDOI
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
TL;DR: A prospective review of wavelet-based ECG compression methods and their performances based upon findings obtained from various experiments conducted using both clean and noisy ECG signals is presented.
Journal ArticleDOI
ECG signal denoising using higher order statistics in Wavelet subbands
TL;DR: It is observed that the proposed denoising scheme not only filters the signal effectively but also helps retain the diagnostic information.
Journal ArticleDOI
Multichannel ECG Data Compression Based on Multiscale Principal Component Analysis
TL;DR: Multiscale principal component analysis (MSPCA) is proposed for multichannel electrocardiogram (MECG) data compression and the lowest mean opinion score error value of 5.56% is found.
References
More filters
Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Journal ArticleDOI
A Real-Time QRS Detection Algorithm
Jiapu Pan,Willis J. Tompkins +1 more
TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
Journal ArticleDOI
ECG data compression techniques-a unified approach
TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI
Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm
TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
Journal ArticleDOI
Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database
TL;DR: An algorithm for automatically locating the waveform boundaries (the onsets and ends of P, QRS, and T waves) in multilead ECG signals (the 12 standard leads and the orthogonal XYZ leads) achieves better agreement with manual measurements of the T-wave end and of interval values.