Publication detail

Robust multichannel QRS detection

PLEŠINGER, F. JURČO, J. JURÁK, P. HALÁMEK, J.

Original Title

Robust multichannel QRS detection

Type

conference paper

Language

English

Original Abstract

The task of the CinC Challenge 2014 was to develop an algorithm for robust detection of a QRS complex throughout different measurement data. Our proposed approach starts with filtering and detection of the QRS complex in channel with electric activity using standard deviation and defines preliminary QRS annotations. The averaged shape (length of 640 ms) for each channel is found by accumulating data close to preliminary annotations through the whole record (max. 10 minutes). The weight of each averaged shape is computed by average correlation of the shape with its original signal through all preliminary QRS annotations. The correlation of each averaged shape to the corresponding channel is multiplied by its weight and forms a new channel containing the total correlation response channels. The resulting QRS annotations are found by tresholding this total correlation response. The final version of our method leads to results of SE+ = 99.87 and P+ = 99.96 for the Challenge Training data set containing 100 records. The overall score was 73.85 at the end of stage I (using an early version of this method) and 83.73 at the end of stage 111.

Keywords

correlation methods;electrocardiography;filtering theory;medical signal detection;medical signal processing;CinC Challenge 2014;ECG;average correlation;electric activity;electrocardiography;filtering;preliminary QRS annotations;robust multichannel QRS detection;standard deviation;total correlation response channels;Abstracts;Annealing;Indium tin oxide;Shape;Time measurement

Authors

PLEŠINGER, F.; JURČO, J.; JURÁK, P.; HALÁMEK, J.

RIV year

2014

Released

7. 9. 2014

Publisher

CCAL

Location

Cambridge, Massachusetts, USA

ISBN

978-1-4799-4346-3

Book

Computing in Cardiology

Edition

2014

Edition number

41

ISBN

0276-6574

Periodical

Computers in Cardiology

State

United States of America

Pages from

557

Pages to

560

Pages count

4

URL

http://ieeexplore.ieee.org/document/7043103/

BibTex

@inproceedings{BUT128410,
  author="Filip {Plešinger} and Juraj {Jurčo} and Pavel {Jurák} and Josef {Halámek}",
  title="Robust multichannel QRS detection",
  booktitle="Computing in Cardiology",
  year="2014",
  series="2014",
  journal="Computers in Cardiology",
  number="41",
  pages="557--560",
  publisher="CCAL",
  address="Cambridge, Massachusetts, USA",
  isbn="978-1-4799-4346-3",
  issn="0276-6574",
  url="http://ieeexplore.ieee.org/document/7043103/"
}