MIT-BIH P-Wave Annotations

When using this data, please cite:

MARŠÁNOVÁ, L .; NĚMCOVÁ, A .; SMÍŠEK, R. Detection of P wave during Second-Degree Atrioventricular Block in ECG Signals. In Proceedings of the 23rd Conference STUDENT EEICT 2017. Brno: University of Technology, Faculty of Electrical Engineering and Communication, 2017. pp. 655-659. ISBN: 978-80-214-5496- 5.

Please also include the standard citation for PhysioNet:

Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages; http://circ.ahajournals.org/cgi/content/full/101/23/e215]; 2000 (June 13).

Introduction

This database contains reference p-wave annotations for twelve signals from the MIT-BIH arrhythmia database.

Annotations

The annotations were made by two experts. The first of them made the manual annotations, and the second one checked them. Unclear parts of the records were consulted by both. The free software tool SignalPlant was used to mark the P-waves.

The annotators process and analyze ECG professionally, and have been analyzing Holter ECG for more than 5 years. Both of them have Master's degrees in Biomedical Engineering and Bioinformatics from Brno University of Technology.

The signals were chosen because they include pathologies which make the detection of the p-waves more difficult. These annotations may be used to evaluate algorithms, however there is no guarantee that all present p-waves are labelled, or that all labels are correct.

Contact

Andrea Němcová: nemcovaa(at)feec(dot)vutbr(dot)cz

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Updated Friday, 28 October 2016 at 16:58 EDT

PhysioNet is supported by the National Institute of General Medical Sciences (NIGMS) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number 2R01GM104987-09.