Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

ECG data compression by modeling.

B Madhukar1, I S Murthy

  • 1Department of Electrical Engineering, Indian Institute of Science, Bangalore.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Postoperative risk factors influencing corneal graft survival in the Singapore corneal transplant study.

American journal of ophthalmology·2011
Same author

Considerations on genetic and environmental factors that contribute to resistance or sensitivity of mammals including humans to toxicity of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and related compounds. Part 1: Genetic factors affecting the toxicity of TCDD.

Ecotoxicology and environmental safety·1997
Same author

Digital models for arterial pressure and respiratory waveforms.

IEEE transactions on bio-medical engineering·1993
Same author

ECG data compression by modeling.

Computers and biomedical research, an international journal·1993
Same author

Expression of protein kinase C isozymes in rat glial cell line.

Neuroreport·1993
Same author

System identification for the ECG using CZT.

Computers and biomedical research, an international journal·1992
Same journal

Intelligent monitor for an anesthesia breathing circuit.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Design considerations for intelligent data entry: development of MedIO.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Medical information retrieval and WWW browsers at Mayo.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

A model of clinical query management that supports integration of biomedical information over the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Automated MeSH indexing of the World-Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Teaching literature searching in the context of the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
See all related articles

This study introduces a new algorithm for compressing single-lead electrocardiogram (ECG) data using parametric modeling and Differential Pulse Code Modulation, achieving high compression ratios up to 1:40 without significant distortion.

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Data Compression

Background:

  • Single-lead electrocardiogram (ECG) data requires efficient compression for storage and transmission.
  • Existing compression methods may struggle with maintaining signal fidelity, especially at high compression ratios.

Purpose of the Study:

  • To develop a novel algorithm for compressing single-lead ECG data.
  • To improve the high-frequency reconstruction of the ECG signal during compression.
  • To achieve high compression ratios without significant signal distortion.

Main Methods:

  • Parametric modeling of the Discrete Cosine Transformed (DCT) ECG signal.
  • Separate modeling of low and high-frequency regions of the transformed signal.
  • Application of Differential Pulse Code Modulation (DPCM) on model parameters.

Related Experiment Videos

Main Results:

  • Achieved compression ratios up to 1:40.
  • Maintained signal fidelity without significant distortion.
  • Demonstrated improved high-frequency reconstruction.

Conclusions:

  • The proposed algorithm offers an effective method for ECG data compression.
  • The combination of parametric modeling and DPCM enhances compression efficiency.
  • The technique is suitable for applications requiring high-fidelity ECG data compression.