Journal ArticleDOI
A 2-D ECG compression method based on wavelet transform and modified SPIHT
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TLDR
A two-dimensional wavelet-based electrocardiogram (ECG) data compression method which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm and achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.Abstract:
A two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression method is presented which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm. This modified SPIHT algorithm utilizes further the redundancy among medium- and high-frequency subbands of the wavelet coefficients and the proposed 2-D approach utilizes the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. An ECG signal is cut and aligned to form a 2-D data array, and then 2-D wavelet transform and the modified SPIHT can be applied. Records selected from the MIT-BIH arrhythmia database are tested. The experimental results show that the proposed method achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.read more
Citations
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Journal ArticleDOI
A Real-Time ECG Data Compression and Transmission Algorithm for an e-Health Device
TL;DR: Because the proposed real-time data compression and transmission algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.
DissertationDOI
Intra-body communication for biomedical sensor networks
TL;DR: The first VLSI implementation of a modified SPIHT algorithm offers compression ratios of up to 20:1 for ECG signals still containing all significant details for medical diagnosis and the implementations fulfill all biomedical requirements on galvanic coupling into and within the human body.
Journal ArticleDOI
ECG Signal Compression and Classification Algorithm With Quad Level Vector for ECG Holter System
TL;DR: An ECG signal processing method with quad level vector (QLV) is proposed for the ECG holter system to achieve better performance with low-computation complexity.
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.
Patent
System for processing physiological data
Marina Brockway,Brian Brockway +1 more
TL;DR: In this article, an ECG sensing electrodes are attached to remote locations on a patient and sense ECG signals from the patient, and an amplifier circuit amplifies the sensed ECG signal and a digitizing circuit digitizes the amplified signal.
References
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A new, fast, and efficient image codec based on set partitioning in hierarchical trees
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Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm
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Journal ArticleDOI
Wavelet transform-based QRS complex detector
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Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
TL;DR: Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECGs are clinically useful.
Journal ArticleDOI
An efficient coding algorithm for the compression of ECG signals using the wavelet transform
TL;DR: The proposed algorithm is compared with direct-based and wavelet-based compression algorithms and showed superior performance and the ability of the coding algorithm to compress ECG signals is investigated.