Version 1.0 - 19/02/2019
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Please also include the standard citation for PhysioNet:
@article{PhysioNet, author = {Goldberger, Ary L. and Amaral, Luis A. N. and Glass, Leon and Hausdorff, Jeffrey M. and Ivanov, Plamen Ch. and Mark, Roger G. and Mietus, Joseph E. and Moody, George B. and Peng, Chung-Kang and Stanley, H. Eugene}, title = {{PhysioBank}, {PhysioToolkit}, and {PhysioNet}: Components of a New Research Resource for Complex Physiologic Signals}, journal = {Circulation}, publisher = {American Heart Association, Inc.}, volume = {101}, number = {23}, year = {2000}, month = {June}, pages = {e215--e220}, doi = {10.1161/01.CIR.101.23.e215}, issn = {0009-7322}, url = {http://circ.ahajournals.org/content/101/23/e215} }
Introduction
Fetal cardiac arrhythmias are defined as any irregular fetal cardiac rhythm or regular rhythm at a rate outside the reference range of 100 to 200 beat per minute (bpm). Arrhythmias are discovered in about 1% of fetuses with about 10% of these being considered potential sources of morbidity. Although most fetal arrhythmias are benign, some can cause fetal hydrops and lead to fetal death. This means that up to 1 fetus in 100 need their arrhythmias to be closely monitored and if indicated treated in-utero using antiarrhythmic therapy.
The Non-Invasive Fetal ECG Arrhythmia Database (NIFEA DB) provides a series of fetal arrhythmias recordings (n=12) and a number of control normal rhythm recordings (n=14) performed using the non-invasive fetal electrocardiography (NI-FECG) technique.
Data Description
For each recording, a set of four or five abdominal channels and one chest maternal channel were recorded. The sampling frequency was 500 Hz or 1 kHz and is indicated in the header of each file.The detailed diagnosis information as well as gestational age of each fetus can be found in the publication. Recordings are named with the following convention:
- ARR: arrhythmia fetus.
- NR: normal rhythm fetus.
The mention 'chest' corresponds to the single lead maternal chest ECG that was recorded. The mention 'abdominal' corresponds to the 4-5 raw abdominal channels that were recorded.
Contributors
This data was contributed by Joachim A. Behar, Laurent Bonnemains, Vyacheslav Shulgin, Julien Oster, Oleksii Ostras and Igor Lakhno.
Contact
For further information, please contact:
Name - Joachim Behar
Technion – Israel Institute of Technology
Email - joachim.a.behar@gmail.com
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Parent Directory - RECORDS 2019-02-15 12:04 168 list of record names NR_14.hea 2019-02-15 12:04 383 header file NR_14.dat 2019-02-15 12:04 7.0M digitized signal(s) NR_13.hea 2019-02-15 12:04 399 header file NR_13.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_12.hea 2019-02-15 12:04 383 header file NR_12.dat 2019-02-15 12:04 5.0M digitized signal(s) NR_11.hea 2019-02-15 12:04 393 header file NR_11.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_10.hea 2019-02-15 12:04 395 header file NR_10.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_09.hea 2019-02-15 12:04 392 header file NR_09.dat 2019-02-15 12:04 8.6M digitized signal(s) NR_08.hea 2019-02-15 12:04 395 header file NR_08.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_07.hea 2019-02-15 12:04 383 header file NR_07.dat 2019-02-15 12:04 7.0M digitized signal(s) NR_06.hea 2019-02-15 12:04 391 header file NR_06.dat 2019-02-15 12:04 7.2M digitized signal(s) NR_05.hea 2019-02-15 12:04 400 header file NR_05.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_04.hea 2019-02-15 12:04 389 header file NR_04.dat 2019-02-15 12:04 7.1M digitized signal(s) NR_03.hea 2019-02-15 12:04 398 header file NR_03.dat 2019-02-15 12:04 7.0M digitized signal(s) NR_02.hea 2019-02-15 12:04 398 header file NR_02.dat 2019-02-15 12:04 6.9M digitized signal(s) NR_01.hea 2019-02-15 12:04 392 header file NR_01.dat 2019-02-15 12:04 6.9M digitized signal(s) ARR_12.hea 2019-02-15 12:04 409 header file ARR_12.dat 2019-02-15 12:04 6.9M digitized signal(s) ARR_11.hea 2019-02-15 12:04 401 header file ARR_11.dat 2019-02-15 12:04 6.9M digitized signal(s) ARR_10.hea 2019-02-15 12:04 340 header file ARR_10.dat 2019-02-15 12:04 5.8M digitized signal(s) ARR_09.hea 2019-02-15 12:04 387 header file ARR_09.dat 2019-02-15 12:04 3.8M digitized signal(s) ARR_08.hea 2019-02-15 12:04 383 header file ARR_08.dat 2019-02-15 12:04 7.6M digitized signal(s) ARR_07.hea 2019-02-15 12:04 393 header file ARR_07.dat 2019-02-15 12:04 3.5M digitized signal(s) ARR_06.hea 2019-02-15 12:04 388 header file ARR_06.dat 2019-02-15 12:04 11M digitized signal(s) ARR_05.hea 2019-02-15 12:04 397 header file ARR_05.dat 2019-02-15 12:04 5.5M digitized signal(s) ARR_04.hea 2019-02-15 12:04 396 header file ARR_04.dat 2019-02-15 12:04 6.9M digitized signal(s) ARR_03.hea 2019-02-15 12:04 399 header file ARR_03.dat 2019-02-15 12:04 8.7M digitized signal(s) ARR_02.hea 2019-02-15 12:04 406 header file ARR_02.dat 2019-02-15 12:04 6.9M digitized signal(s) ARR_01.hea 2019-02-15 12:04 400 header file ARR_01.dat 2019-02-15 12:04 6.9M digitized signal(s)