Detail publikace

A Wavelet-Based ECG Delineation With Improved P Wave Offset Detection Accuracy

Originální název

A Wavelet-Based ECG Delineation With Improved P Wave Offset Detection Accuracy

Anglický název

A Wavelet-Based ECG Delineation With Improved P Wave Offset Detection Accuracy

Jazyk

en

Originální abstrakt

In this paper, we present an improved version of ECG delineation approach based on the continuous wavelet transform and singlescale approach. The algorithm was design to detect five main ECG significant points, which are QRS onset, QRS offset, T wave offset, P wave onset and P wave offset. The introduced approach was evaluated on the standard CSE multilead database. The obtained delineation results are comparable with other methods and accomplished given database criteria. The implemented algorithm improvement significantly increases accuracy of the P wave offset detection, which was the problematic part of the previous version of this method.

Anglický abstrakt

In this paper, we present an improved version of ECG delineation approach based on the continuous wavelet transform and singlescale approach. The algorithm was design to detect five main ECG significant points, which are QRS onset, QRS offset, T wave offset, P wave onset and P wave offset. The introduced approach was evaluated on the standard CSE multilead database. The obtained delineation results are comparable with other methods and accomplished given database criteria. The implemented algorithm improvement significantly increases accuracy of the P wave offset detection, which was the problematic part of the previous version of this method.

BibTex


@inproceedings{BUT35820,
  author="Martin {Vítek} and Jan {Hrubeš} and Jiří {Kozumplík}",
  title="A Wavelet-Based ECG Delineation With Improved P Wave Offset Detection Accuracy",
  annote="In this paper, we present an improved version of ECG delineation approach based on the continuous wavelet transform and singlescale approach. The algorithm was design to detect five main ECG significant points, which are QRS onset, QRS offset, T wave offset, P wave onset and P wave offset. The introduced approach was evaluated on the standard CSE multilead database. The obtained delineation results are comparable with other methods and accomplished given database criteria. The implemented algorithm improvement significantly increases accuracy of the P wave offset detection, which was the problematic part of the previous version of this method.",
  address="UBMI FEKT VUT v Brně",
  booktitle="Proceedings of Biosignal 2010: Analysis of Biomedical Signals and Images",
  chapter="35820",
  howpublished="online",
  institution="UBMI FEKT VUT v Brně",
  year="2010",
  month="june",
  pages="1--5",
  publisher="UBMI FEKT VUT v Brně",
  type="conference paper"
}