ECG signals (744 fragments)

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Abstract: 

For research purposes, the ECG signals were obtained from the PhysioNet service (http://www.physionet.org) from the MIT-BIH Arrhythmia database. The created database with ECG signals is described below. 1) The ECG signals were from 29 patients: 15 female (age: 23-89) and 14 male (age: 32-89). 2) The ECG signals contained 17 classes: normal sinus rhythm, pacemaker rhythm, and 15 types of cardiac dysfunctions (for each of which at least 10 signal fragments were collected). 3) All ECG signals were recorded at a sampling frequency of 360 [Hz] and a gain of 200 [adu / mV]. 4) For the analysis, 744, 10-second (3600 samples) fragments of the ECG signal (not overlapping) were randomly selected. 5) Only signals derived from one lead, the MLII, were used. 6) Data are in mat format (Matlab).

Instructions: 

For research purposes, the ECG signals were obtained from the PhysioNet service (http://www.physionet.org) from the MIT-BIH Arrhythmia database. The created database with ECG signals is described below. 1) The ECG signals were from 29 patients: 15 female (age: 23-89) and 14 male (age: 32-89). 2) The ECG signals contained 17 classes: normal sinus rhythm, pacemaker rhythm, and 15 types of cardiac dysfunctions (for each of which at least 10 signal fragments were collected). 3) All ECG signals were recorded at a sampling frequency of 360 [Hz] and a gain of 200 [adu / mV]. 4) For the analysis, 744, 10-second (3600 samples) fragments of the ECG signal (not overlapping) were randomly selected. 5) Only signals derived from one lead, the MLII, were used. 6) Data are in mat format (Matlab).

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Dataset Details

Citation Author(s):
Paweł Pławiak
Submitted by:
Pawel Plawiak
Last updated:
Mon, 04/30/2018 - 15:22
DOI:
10.21227/H2GH2M
Data Format:
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[1] Paweł Pławiak, "ECG signals (744 fragments)", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2GH2M. Accessed: Jun. 18, 2018.
@data{h2gh2m-18,
doi = {10.21227/H2GH2M},
url = {http://dx.doi.org/10.21227/H2GH2M},
author = {Paweł Pławiak },
publisher = {IEEE Dataport},
title = {ECG signals (744 fragments)},
year = {2018} }
TY - DATA
T1 - ECG signals (744 fragments)
AU - Paweł Pławiak
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2GH2M
ER -
Paweł Pławiak. (2018). ECG signals (744 fragments). IEEE Dataport. http://dx.doi.org/10.21227/H2GH2M
Paweł Pławiak, 2018. ECG signals (744 fragments). Available at: http://dx.doi.org/10.21227/H2GH2M.
Paweł Pławiak. (2018). "ECG signals (744 fragments)." Web.
1. Paweł Pławiak. ECG signals (744 fragments) [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2GH2M
Paweł Pławiak. "ECG signals (744 fragments)." doi: 10.21227/H2GH2M