A wavelet footprints-based compression scheme for ECG signals

@article{Wei2004AWF,
  title={A wavelet footprints-based compression scheme for ECG signals},
  author={Ho Tatt Wei and Varun Jeoti},
  journal={2004 IEEE Region 10 Conference TENCON 2004.},
  year={2004},
  volume={A},
  pages={283-286 Vol. 1}
}
  • Ho Tatt Wei, V. Jeoti
  • Published 21 November 2004
  • Computer Science
  • 2004 IEEE Region 10 Conference TENCON 2004.
Herein, an ECG compression scheme is proposed, which is based on the wavelet footprint representation of ECG signals [Ho Tatt Wei and Varun Jeoti, July 2004] in combination with some signal preprocessing, linear quantization and Huffman coding. Experiments conducted on selected records of the MTT-BlH Arrythmia database indicate that compression ratios of about 10x are achievable with average PRD of 0.8450%. 

Figures and Tables from this paper

COMPRESION DE SEÑALES ECG UTILIZANDO DWT Y CODIFICACION HUFFMAN

TLDR
Software models for the wavelet decomposition and Huffman encoding that form the completely system of data compression, implemented in Matlab, version R2009a are presented.

Compression and Enhancement of Digital Mammograms with Wavelet Footprints

  • Ho Tatt WeiV. Jeoti
  • Computer Science, Medicine
    TENCON 2005 - 2005 IEEE Region 10 Conference
  • 2005
We propose a near lossless representation of digital mammograms using the wavelet footprint basis, that can simultaneously enhance the diagnostic features of the mammogram and yield some compression.

Design and VLSI Implementation of Efficient Discrete Wavelet Transfer Scheme

TLDR
The proposed architecture has replaced the multiplications by optimized shift and add operations to reduce the critical path delay and benefits from the features of reduced memory, low power consumption, low latency, and high throughput over several existing designs.

Point Tracking on a thin elastomer to emulate Skin-stretch induced motion artifacts in Electrocardiogram measurements

TLDR
It is expected that quantifying this strain field will help eliminate motion artifacts due to skin stretch in ECG signal acquisition and be validated against a finite element simulation in SolidWorks® as well as tensile-test data.

Quantum spectral analysis: frequency in time, with applications to signal and image processing

TLDR
A toolbox is completed for spectral analysis, which is essential for all applications of Digital Signal Processing and Digital Image Processing and, even, in the latter, FAT allows edge detection, denoising, despeckling, compression, and superresolution of still images.

Quantum spectral analysis: bandwidth at time

A quantum time-dependent spectrum analysis, or simply, quantum spectral analysis (QSA) is presented in this work, and it is based on Schrodinger equation, which is a partial differential equation

Quantum spectral analysis: frequency at time (a lecture)

TLDR
A toolbox is completed for spectral analysis, edge detection, denoising, despeckling, compression and superresolution in a set of experimental results in an important section on Applications and Simulations, respectively.

Quantum spectral analysis: bandwidth at time (a lecture)

TLDR
A toolbox is completed for all applications of Digital Signal Processing (DSP) and Digital Image processing (DIP); and, even, in the latter, BAT allows edge detection, denoising, despeckling, compression, and superresolution of still images.

Quantum spectral analysis: frequency at time

TLDR
A toolbox is completed for spectral analysis, edge detection, denoising, despeckling, compression and superresolution in a set of experimental results in an important section on Applications and Simulations, respectively.

References

SHOWING 1-7 OF 7 REFERENCES

Wavelet Compression of ECG Signals by the Set Partitioning in Hierarchical Trees ( SPIHT ) Algorithm

TLDR
A wavelet ECG data codec based on the Set Partitioning In Hierarchical Trees (SPIHT) compression algorithm is proposed and revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.

Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

TLDR
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.

PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

TLDR
The newly inaugurated Research Resource for Complex Physiologic Signals, which was created under the auspices of the National Center for Research Resources, is intended to stimulate current research and new investigations in the study of cardiovascular and other complex biomedical signals.

Wavelet footprints: theory, algorithms, and applications

TLDR
It is shown that footprints form an overcomplete dictionary and develop efficient and robust algorithms to find the exact representation of a piecewise polynomial function in terms of footprints, which leads to efficient approximation of piecewise smooth functions.

Wavelet Footprints Representation of ECG Signals”, accepted by CSNDSP04

  • University of Newcastle,
  • 2004

Fundamentals of the Decision of Optimal Factors in the ECG Data Compression ”

  • IEICE Trans . in Information & Systems