Publication detail

Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts

MARŠÁNOVÁ, L. NĚMCOVÁ, A. SMITAL, L. SMÍŠEK, R. VÍTEK, M.

Original Title

Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts

Type

journal article in Web of Science

Language

English

Original Abstract

Reliable P wave detection is necessary for accurate and automatic electrocardiogram (ECG) analysis. Currently, methods for P wave detection in physiological conditions are well-described and efficient. However, methods for P wave detection during pathology are not generally found in the literature, or their performance is insufficient. This work introduces a novel method, based on a phasor transform, as well as innovative rules that improve P wave detection during pathology. These rules are based on the extraction of a heartbeats' morphological features and knowledge of heart manifestation during both physiological and pathological conditions. To properly evaluate the performance of the proposed algorithm in pathological conditions, a standard database with a sufficient number of reference P wave positions is needed. However, such a database did not exist. Thus, ECG experts annotated 12 chosen pathological records from the MIT-BIH Arrhythmia Database. These annotations are publicly available via Physionet. The algorithm performance was also validated using physiological records from the MIT-BIH Arrhythmia and QT databases. The results for physiological signals were Se =98.42% and PP =99.98%, which is comparable to other methods. For pathological signals, the proposed method reached Se = 96.40% and PP = 85.84%, which greatly outperforms other methods. This improvement represents a huge step towards fully automated analysis systems being respected by ECG experts. These systems are necessary, particularly in the area of long-term monitoring.

Keywords

ECG; arrhythmia; pathological signals; P wave; ventricular extrasystoles; second-degree atrioventricular block

Authors

MARŠÁNOVÁ, L.; NĚMCOVÁ, A.; SMITAL, L.; SMÍŠEK, R.; VÍTEK, M.

Released

13. 12. 2019

Publisher

NATURE PUBLISHING GROUP

Location

LONDON

ISBN

2045-2322

Periodical

Scientific Reports

Year of study

9

Number

18582

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

11

Pages count

11

URL

https://www.nature.com/articles/s41598-019-55323-3

BibTex

@article{BUT160195,
  author="Lucie {Šaclová} and Andrea {Němcová} and Radovan {Smíšek} and Lukáš {Smital} and Martin {Vítek}",
  title="Advanced P Wave Detection in Ecg Signals During Pathology: Evaluation in Different Arrhythmia Contexts",
  journal="Scientific Reports",
  year="2019",
  volume="9",
  number="18582",
  pages="1--11",
  doi="10.1038/s41598-019-55323-3",
  issn="2045-2322",
  url="https://www.nature.com/articles/s41598-019-55323-3"
}