MIT-BIH Arrhythmia Database P-Wave Annotations

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When using this data, please cite:

Maršánová L, Němcová A, Smíšek R, Goldmann T, Vítek M, Smital L. Automatic Detection of P Wave in ECG During Ventricular Extrasystoles.. World Congress on Medical Physics and Biomedical Engineering 2018: Springer, Singapore; 2018. p. 381-5. DOI: 10.1007/978-981-10-9038-7_72.

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.

Files

Annotation files are provided in standard WFDB format. They can be read using the rdann function of the WFDB Software Package.

Annotations	Waveform record
100.pwave	100 (male, age 69)
101.pwave	101 (female, age 75)
103.pwave	103 (male, age not recorded)
106.pwave	106 (female, age 24)
117.pwave	117 (male, age 69)
119.pwave	119 (female, age 51)
122.pwave	122 (male, age 51)
207.pwave	207 (female, age 89)
214.pwave	214 (male, age 53)
222.pwave	222 (female, age 84)
223.pwave	223 (male, age 73)
231.pwave	231 (female, age 72)

Contact

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

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Updated Tuesday, 19 June 2018 at 15:53 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.