Non-Invasive Fetal Electrocardiogram Database

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When referencing this material, please 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).

Sample of abdominal non-invasive fetal electrocardiogram (FECG) recording

This database contains a series of 55 multichannel abdominal non-invasive fetal electrocardiogram (FECG) recordings, taken from a single subject between 21 to 40 weeks of pregnancy. The records have variable durations, and were taken weekly (two or more records were acquired during some weeks). These records may be very useful for testing signal separation algorithms.

The FECGs in this collection were amplified using a g.BSamp Biosignal Amplifier. The data have been stored in EDF/EDF+ format.

Recording information

2 thoracic signals
3 or 4 abdominal signals (most records include 4).
Electrode positioning was varied in order to improve SNR.
The analog amplifier also includes a 50Hz notch filter switched ON.
Ag-AgCl transducer.
Bandwidth: 0.01Hz-100Hz (synchronous sampling of all signals)
Sampling rate: 1kHz.
Resolution: 16 bits.
Gains and input ranges are included in the records in EDF format.
Patient Identification contains the gestational age. The format is week+day.

The database was prepared for PhysioNet by:

Marcelino Martinez Sober, PhD (email: marcelino.martinez at uv dot es)
Jorge Granado Marco
Digital Signal Processing Group (GPDS)
Electronics Engineering Department
ETSE Escuela Técnica Superior de Ingeniería
Universitat de València
C/ Dr. Moliner, 50, 46100 Burjassot (Valencia) Spain

 Name  DOI  ANNOTATORS  ecgca900.edf.qrs  ecgca300.edf.qrs  ecgca410.edf.qrs  ecgca997.edf.qrs  ecgca445.edf.qrs  RECORDS  ecgca473.edf.qrs  ecgca876.edf.qrs  ecgca102.edf.qrs  ecgca868.edf.qrs  ecgca998.edf.qrs  ecgca826.edf.qrs  ecgca192.edf.qrs  ecgca748.edf.qrs  ecgca154.edf.qrs  ecgca896.edf.qrs  ecgca811.edf.qrs  ecgca902.edf.qrs  ecgca840.edf.qrs  ecgca416.edf.qrs  ecgca986.edf.qrs  ecgca848.edf.qrs  ecgca595.edf.qrs  ecgca699.edf.qrs  ecgca629.edf.qrs  ecgca274.edf.qrs  ecgca392.edf.qrs  ecgca323.edf.qrs  ecgca880.edf.qrs  ecgca368.edf.qrs  ecgca886.edf.qrs  ecgca384.edf.qrs  ecgca776.edf.qrs  ecgca585.edf.qrs  ecgca436.edf.qrs  ecgca968.edf.qrs  ecgca659.edf.qrs  ecgca252.edf.qrs  ecgca864.edf.qrs  ecgca244.edf.qrs  ecgca816.edf.qrs  ecgca308.edf.qrs  ecgca127.edf.qrs  ecgca115.edf.qrs  ecgca746.edf.qrs  ecgca515.edf.qrs  ecgca711.edf.qrs  ecgca571.edf.qrs  ecgca621.edf.qrs  ecgca733.edf.qrs  ecgca290.edf.qrs  ecgca649.edf.qrs  ecgca444.edf.qrs  ecgca597.edf.qrs  ecgca906.edf.qrs  ecgca771.edf.qrs  ecgca900.edf  ecgca300.edf  ecgca410.edf  ecgca445.edf  ecgca997.edf  ecgca876.edf  ecgca473.edf  ecgca868.edf  ecgca998.edf  ecgca102.edf  ecgca826.edf  ecgca192.edf  ecgca154.edf  ecgca748.edf  ecgca902.edf  ecgca811.edf  ecgca896.edf  ecgca986.edf  ecgca416.edf  ecgca840.edf  ecgca274.edf  ecgca699.edf  ecgca595.edf  ecgca323.edf  ecgca848.edf  ecgca392.edf  ecgca368.edf  ecgca629.edf  ecgca886.edf  ecgca880.edf  ecgca384.edf  ecgca776.edf  ecgca585.edf  ecgca968.edf  ecgca436.edf  ecgca252.edf  ecgca659.edf  ecgca864.edf  ecgca816.edf  ecgca244.edf  ecgca308.edf  ecgca127.edf  ecgca115.edf  ecgca515.edf  ecgca746.edf  ecgca711.edf  ecgca571.edf  ecgca621.edf  ecgca649.edf  ecgca733.edf  ecgca290.edf  ecgca444.edf  ecgca597.edf  ecgca906.edf  ecgca771.edf

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Updated Friday, 28 October 2016 at 16:58 EDT

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