Automatic quality classification of entire electrocardiographic recordings obtained with a novel patch type recorder

Dorthe B Saadi, Karsten Hoppe, Kenneth Egstrup, Poul Jennum, Helle K Iversen, Jørgen L Jeppesen, Helge B D Sorensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Recently, new patch type electrocardiogram (ECG) recorders have reached the market. These new devices possess a number of advantages compared to the traditional Holter recorders. This forms the basis of questions related to benefits and drawbacks of different ambulatory ECG recording techniques. One of the important questions is the ability to obtain high clinical quality of the recordings during the entire monitoring period. It is thus desirable to be able to obtain an automatic estimate of the global quality of entire ECG recordings. The purpose of this pilot study is therefore to design an algorithm for automatic classification of entire ECG recordings into the groups "noisy" and "clean" recordings. This novel algorithm is based on three features and a simple Bayes classifier. The algorithm was tested on 40 ECG recordings in a five-fold cross validation scheme and it obtained an average accuracy of 90% on the test data.

Original languageEnglish
Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PublisherIEEE
Publication date2. Nov 2014
Pages5639-5642
Article number6944906
ISBN (Electronic)978-1-4244-7929-0
DOIs
Publication statusPublished - 2. Nov 2014
Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Sheraton Chicago Hotel and Towers, Chicago, United States
Duration: 1. Jan 197030. Aug 2014
Conference number: 36

Conference

Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number36
LocationSheraton Chicago Hotel and Towers
Country/TerritoryUnited States
CityChicago
Period01/01/197030/08/2014
SeriesI E E E Engineering in Medicine and Biology Society. Conference Proceedings
ISSN2375-7477

Keywords

  • Adult
  • Algorithms
  • Bayes Theorem
  • Electrocardiography, Ambulatory
  • Equipment Design
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pilot Projects
  • Reproducibility of Results
  • Signal Processing, Computer-Assisted
  • Journal Article
  • Research Support, Non-U.S. Gov't

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