Proceedings ArticleDOI
ECG signal compression with a new wavelet method
Zhitao Lu,Dong Youn Kim,W.A. Pearlman +2 more
- Vol. 2, pp 955
TLDR
A wavelet electrocardiogram (ECG) signal encoder/decoder (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.Abstract:
A wavelet electrocardiogram (ECG) signal encoder/decoder (codec) based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed. Experiments on selected records from the MIT-BIH arrhythmia database reveal that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate.read more
Citations
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Proceedings ArticleDOI
Optimal wavelets for electrogastrography
TL;DR: Approximated wavelet-based versions of EGG signals were calculated using Pollen parameterization of 6-tap wavelet filters and wavelet compression techniques and the wavelets generated were remarkably similar to the standard Daubechies-3 wavelet.
Proceedings ArticleDOI
Transmitting SPIHT compressed ECG data over a next-generation mobile telecardiology testbed
Chia-Yuan Huang,Shaou-Gang Miaou +1 more
TL;DR: A joint design for SPIHT-based ECG data compression method over a next-generation mobile telecardiology testbed based on the 3G cellular phone standard is proposed and the performance of the testbed for the compressed ECGData segments selected from the MIT-BIH arrhythmia database is evaluated in terms of BER, PRD, compression ratio, transmission time, and diagnostic quality.
Journal ArticleDOI
Wavelet Analysis in a Canine Model of Gastric Electrical Uncoupling
TL;DR: A wavelet-based analysis of electrogastrograms (EGG, the cutaneous recordings of gastric electric activity), to detect Gastric electric uncoupling is provided.
Journal ArticleDOI
Wavelet analysis in a canine model of gastric electrical uncoupling.
R J de Sobral Cintra,I V Tchervensky,Vassil S. Dimitrov,Martin P. Mintchev,Martin P. Mintchev +4 more
TL;DR: In this paper, a wavelet-based analysis of electrogastrograms (EGG, the cutaneous recordings of gastric electric activity), to detect the onset of electrical uncoupling was provided.
Proceedings ArticleDOI
Fast Internet transmission of physiological signals using the lifting scheme and SPIHT coding algorithm
TL;DR: A multiresolution approach based on a powerful combination of the lifting scheme and the SPIHT coding algorithm is presented that allows a lossless transmission, and is capable of reconstructing essential waveforms of the data even when the network halts after a certain period of transmission.
References
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Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
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
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.
Proceedings ArticleDOI
Analysis by synthesis ECG signal compression
TL;DR: The authors introduce a new ECG compression algorithm, and a new distortion measure that is based on comparing PQRST complex features of the original ECG signal and the reconstructed one.