Total Variation Electrocardiogram Filtering

Abstract

We examine the performance of Total Variation (TV) smoothing for processing of noisy Electrocardiogram (ECG) recorded by an ambulatory device. The TV smoothing is compared with traditionally-used bandpass filtering using ECG with artificially added noise as well as with real-world noise obtained during physiological monitoring. The fundamental difference between TV smoothing and traditional band-pass filtering is that TV smoothing allow preserving sharp slopes in the ECG, while traditional smoothing dampens them. Since the QRS complex represents a feature with steep slopes, the TV smoothing is a better choice ECG filtering. We found that TV smoothing outperforms traditional filtering on ECG signals recorded under different conditions and can be used as effective filtering tool in popular QRS detection algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA540424

Entities

People

  • Andrei Gribok
  • Mark J. Buller
  • Reed Hoyt
  • William Rumpler

Organizations

  • United States Department of Agriculture

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Bandpass Filters
  • Detection
  • Electrocardiography
  • Filters
  • Filtration
  • Frequency
  • Frequency Response
  • Health Services
  • Heart Rate
  • Low Pass Filters
  • Monitoring
  • Noise
  • Physiological Monitoring
  • Signal Processing
  • Vital Signs

Fields of Study

  • Engineering

Readers

  • Cardiovascular Physiology
  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.