Name: Fetal ECG Synthetic Database
Published: April 29, 2016
License: https://opendatacommons.org/licenses/by/index.html

Database Open Access

Fernando Andreotti , Joachim Behar , Gari D. Clifford

Published: April 29, 2016. Version: 1.0.0

New Database Added: FECGSYNDB (April 29, 2016, midnight)

The fetal ECG synthetic database is a large database of simulated adult and non-invasive fetal ECG (NI-FECG) signals, which provides a robust resource that enables reproducible research in the field. The data is generated using the FECGSYN simulator.

When using this resource, please cite the original publication:

Andreotti F., Behar J., Zaunseder S.,Oster J. and Clifford G D., An Open-Source Framework for Stress-Testing Non-Invasive Foetal ECG Extraction Algorithms. Physiol Meas 5, pp. 627-648, 2016.

Please include the standard citation for PhysioNet: (show more options)
Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

APA	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
MLA	Goldberger, A., et al. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
CHICAGO	Goldberger, A., L. Amaral, L. Glass, J. Hausdorff, P. C. Ivanov, R. Mark, J. E. Mietus, G. B. Moody, C. K. Peng, and H. E. Stanley. "PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220." (2000).
HARVARD	Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P.C., Mark, R., Mietus, J.E., Moody, G.B., Peng, C.K. and Stanley, H.E., 2000. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.
VANCOUVER	Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov PC, Mark R, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

Abstract

The FECGSYNDB is a large database of simulated adult and non-invasive fetal ECG (NI-FECG) signals, which provides a robust resource that enables reproducible research in the field. The data is generated using the FECGSYN simulator (visit website).

Experiment/Simulation Details

The simulator represents maternal and foetal hearts as punctual dipoles with different magnitudes and spatial positions. This current version obtains foetal–maternal mixtures by treating each abdominal signal component (e.g. foetal/maternal ECG or noise signals) as an individual source, whose signal is propagated onto the observational points (‘electrodes’). Therefore this database is able to provide separate waveform files for each signal source.

The modeled volume conductor, sampled from 34 channels (32 abdominal and 2 maternal ECG reference channels), is shown in fig1.png. The figure shows side (a) and upper (b) views the of volume conductor. Positions of foetal (small sphere, blue) and maternal (larger sphere, red) hearts shown.

For this database, ten different pregnancies were simulated. For each simulated pregnant subject, seven different physiological events were considered and simulated as described below:

Case	Description
Baseline	Abdominal mixture (no noise or events)
0	Baseline (no events) + noise
1	Foetal movement + noise
2	MHR /FHR acceleration / decelerations + noise
3	Uterine contraction + noise
4	Ectopic beats (for both foetus and mother) + noise
5	Additional NI-FECG (twin pregnancy) + noise

On top of this, there were five different levels of additive noise and 5 repetitions for each combination of settings.

Overall a total of 10 (simulated pregnants) x 7 (cases) x 5 (SNR levels) x 5 (repetitions) = 1750 synthetic signals were produced, totaling 145.8 hours of multichannel data with 1.1 million fetal peaks. Each simulation had a duration of 5 minutes, and was sampled at 250 Hz with a 16-bit resolution. For more technical details, see section 2.1 of Andreotti et al., 2016.

Files

Each subdirectory subXX/snrYYdb/ includes a set of data for simulated pregnancy XX and SNR level YY.

Inside each subdirectory are numerous files in WFDB format. The files names are in the form

subXX_snrYYdb_lZ_WW_VVVV

where:

XX	=	simulated pregnancy number [01 to 10].
YY	=	SNR level [00, 03, 06, 09, 12] dB.
Z	=	repetition number [1 to 5].
WW	=	[c0 to c5], or empty for the baseline case, representing the cases shown in the above section.
VVVV	=	Fetal ECG [fecgN] where N is the fetus number, maternal ECG [mecg], or [noise].

The file extensions are in the standard WFDB MIT format: .hea for header files, and .dat for signal files. As shown in Fig. 1 above, channels 1–32 are the abdominal FECG channels and channels 33-34 are the maternal reference ECG channels. Header files also contain additional model parameters described in table 2 of Andreotti et al. The units are listed as 'nu' for no units since the signals are simulated, though their amplitudes do correspond to the 1–2mV amplitudes of normal MECG signals. Annotation files .qrs give machine generated QRS locations of their respective signals.

Contact

If you have any questions, suggestions or want to know more about FECGSYNDB, do not hesitate to contact us .

Access

Access Policy:
Anyone can access the files, as long as they conform to the terms of the specified license.

License (for files):
Open Data Commons Attribution License v1.0

Discovery

DOI (version 1.0.0):
https://doi.org/10.13026/C21P4T

Topics:
synthetic fetal ecg

Corresponding Author

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Files

Total uncompressed size: 33.3 GB.

Access the files

Download the ZIP file (33.3 GB)
Access the files using the Google Cloud Storage Browser here. Login with a Google account is required.
Access the data using the Google Cloud command line tools (please refer to the gsutil documentation for guidance):
```
gsutil -m -u YOUR_PROJECT_ID cp -r gs://fecgsyndb-1.0.0.physionet.org DESTINATION
```

Download the files using your terminal:

wget -r -N -c -np https://physionet.org/files/fecgsyndb/1.0.0/

Download the files using AWS command line tools:

aws s3 sync --no-sign-request s3://physionet-open/fecgsyndb/1.0.0/ DESTINATION

Visualize waveforms

Folder Navigation:

Name	Size	Modified
Parent Directory
fig1.png (download)	245.8 KB	2016-04-26
samplechart.png (download)	77.2 KB	2016-04-28

Fetal ECG Synthetic Database

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Abstract

Experiment/Simulation Details

Files

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Discovery

Corresponding Author

Files

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