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

Data compression for storage of resting ECGs digitized at 500 samples/second.

B R Reddy1, D W Christenson, G I Rowlandson

  • 1Diagnostics Division, Marquette Electronics, Inc., Milwaukee, Wisconsin 53223.

Biomedical Instrumentation & Technology
|March 1, 1992
PubMed
Summary

This study presents a novel data compression method for resting electrocardiograms (ECGs), achieving significant data reduction while preserving signal fidelity. The bimodal decimation technique effectively compresses ECG data for rhythm analysis and storage.

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

Optimization study of 2-hydroxyquinoxaline (2-HQ) biodegradation by Ochrobactrum sp. HQ1.

3 Biotech·2017
Same author

Garlic and Resveratrol Attenuate Diabetic Complications, Loss of β-Cells, Pancreatic and Hepatic Oxidative Stress in Streptozotocin-Induced Diabetic Rats.

Frontiers in pharmacology·2016
Same author

Development & validation of a quantitative anti-protective antigen IgG enzyme linked immunosorbent assay for serodiagnosis of cutaneous anthrax.

The Indian journal of medical research·2015
Same author

Downward trends in the prevalence of childhood overweight in two pilot towns taking part in the VIASANO community-based programme in Belgium: data from a national school health monitoring system.

Pediatric obesity·2015
Same author

Biodegradation of 2-hydroxyquinoxaline (2-HQ) by Bacillus sp.

Journal of hazardous materials·2014
Same author

Effects of oral nutritional supplementation in the management of malnutrition in hospital and post-hospital discharged patients in India: a randomised, open-label, controlled trial.

Journal of human nutrition and dietetics : the official journal of the British Dietetic Association·2014

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Resting electrocardiograms (ECGs) generate large datasets, posing challenges for storage and transmission.
  • Existing data compression methods for ECGs often involve tradeoffs between compression ratio and signal fidelity.
  • Efficient compression is crucial for large-scale ECG analysis and remote patient monitoring.

Purpose of the Study:

  • To develop and evaluate a novel data compression technique for high-resolution (500 samples per second) resting ECGs.
  • To assess the impact of compression on ECG signal fidelity, particularly for rhythm analysis and QRS complex morphology.
  • To achieve significant data reduction while maintaining diagnostic accuracy.

Main Methods:

  • A bimodal decimation strategy was employed, retaining median complexes at full resolution and sampling rate.

Related Experiment Videos

  • The residue signal was processed using decimation and requantization, with specific focus on QRS complexes.
  • Compression performance was evaluated using standard metrics (RMS error, compression ratio) and physician overreading on the European Common Standards for Electrocardiography (CSE) database.

    • Main Results:

    • The bimodal decimation of the residue signal to 125 sps at 10 microvolts resolution preserved ECG signal fidelity effectively.
    • Abnormal atrial activity and QRS complexes were retained without distortion.
    • The average size of a 10-second compressed ECG was reduced to approximately 4.5 kilobytes, demonstrating significant data compression.

    Conclusions:

    • The proposed bimodal decimation method offers a viable approach for compressing resting ECG data.
    • This technique balances high compression ratios with excellent preservation of diagnostic waveform features.
    • The method is suitable for applications requiring efficient storage and transmission of ECG data without compromising clinical interpretation.