Imperial College London

ProfessorRobertIstepanian

Faculty of MedicineInstitute of Global Health Innovation

Visiting Professor
 
 
 
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Contact

 

+44 (0)7554 342 293robert.istepanian Website

 
 
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Location

 

Central FacultyFaculty BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Istepanian:2000,
author = {Istepanian, RS and Petrosian, AA},
journal = {IEEE Trans Inf Technol Biomed},
pages = {200--211},
title = {Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system.},
url = {https://www.ncbi.nlm.nih.gov/pubmed/11026590},
volume = {4},
year = {2000}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - A new integrated design approach for an optimal zonal wavelet-based ECG data compression (OZWC) method for a mobile telecardiology model is presented. The hybrid implementation issues of this wavelet method with a GSM-based mobile telecardiology system are also introduced. The performance of the mobile system with compressed ECG data segments selected from the MIT-BIH arrhythmia data base is evaluated in terms of bit error rate (BER), percent rms difference (PRD), and visual clinical inspection. The compression performance analysis of the OZWC is compared with another wavelet-based (Discrete Symmetric Wavelet Compression) approach. The optimal wavelet algorithm achieved a maximum compression ratio of 18: 1 with low PRD ratios. The mobile telemedical simulation results show the successful compressed ECG transmission at speeds of 100 (km/h) with BER rates of less than 10(-15), providing a 73% reduction in total mobile transmission time with clinically acceptable reconstruction of the received signals. This approach will provide a framework for the design and functionality issues of GSM-based wireless telemedicine systems with wavelet compression techniques and their future integration for the next generation of mobile telecardiology systems.
AU - Istepanian,RS
AU - Petrosian,AA
EP - 211
PY - 2000///
SN - 1089-7771
SP - 200
TI - Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system.
T2 - IEEE Trans Inf Technol Biomed
UR - https://www.ncbi.nlm.nih.gov/pubmed/11026590
VL - 4
ER -