MMG Database

The new PhysioNet website is available at: https://physionet.org. We welcome your feedback.

This database is used and described in

D. Escalona-Vargas, R.B. Govindan, A. Furdea, P. Murphy, C. L. Lowery, and H. Eswaran. Characterizing the Propagation of Uterine Electrophysiological Signals Recorded with a Multi-Sensor Abdominal Array in Term Pregnancies. PLoS ONE, 10(10), 2015.

Please cite this publication when referencing this material, and 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).
Figure 1: two-dimensional view of the array Figure 2: three-dimensional view of the array

This database contains uterine magnetomyographic (MMG) signals recorded using the 151 channel SARA (SQUID Array for Reproductive Assessment) system installed at UAMS, Little Rock, USA. Recordings are taken from 25 subjects who presented themselves in the Triage unit of Labor and Delivery and were undergoing monitoring and evaluation of labor. All subjects were asked to lean forward and sit comfortably with the sensor array covering their pregnant abdomens. The duration of a recording was typically around 20 minutes.

To obtain the final MMG signals, the original 250Hz data was downsampled to 32 Hz, bandpass filtered (0.1-1 Hz) to attenuate the maternal and fetal cardiac signals, and notch filtered (0.25-0.35 Hz) to suppress the prominent maternal breathing around 0.33 Hz. Furthermore, segments with maternal movement were excluded. Each final recording in this database contains 147 to 148 channels and lasts between 10 and 20 minutes.

The data was preprocessed in MATLAB and converted to WFDB format using the mat2wfdb function from the PhysioToolkit software. File names in the database are of the form ###_*GA, where ### is the ID of the participant, and *GA refers to gestational age in weeks and days (ie. 38w0d). Header files contain channel labels and the following clinical information:

The sensorpositions record contains x, y, and z coordinates of the SARA array's 149 different channels present in the database. Refer to SARAarray.eps or SARAarray.tif for diagrams of the apparatus.

Relevant Publications

H. Eswaran, H. Preissl, J. D. Wilson, P. Murphy, C. L. Lowery. Prediction of labor in term and preterm pregnancies using non-invasive magnetomyographic recordings of uterine contractions. Am J Obstet Gynecol, 190(6), pp. 1598-1602, 2004.
H. Eswaran, H. Preissl, J. D. Wilson, P. Murphy, S. E. Robinson,C. L. Lowery. First magnetomyographic recordings of uterine activity with spatial-temporal information with a 151-channel sensor array. Am J Obstet Gynecol, 187(1), pp. 145-151, 2002. 

Icon  Name                    Last modified      Size  Description
[PARENTDIR] Parent Directory                             -   
[   ] DOI                     2019-02-06 12:53   19   
[   ] MD5SUMS                 2016-03-02 19:51  2.6K  
[   ] SHA1SUMS                2016-03-02 19:51  3.0K  
[   ] SHA256SUMS              2016-03-02 19:51  4.3K  
[IMG] figure1.png             2016-03-03 18:29   54K  
[IMG] figure2.png             2016-03-03 18:29   64K  
[   ] 202_38w0d.dat           2016-03-02 19:26  9.2M  digitized signal(s)
[   ] 203_37w3d.dat           2016-03-02 19:26  8.1M  digitized signal(s)
[   ] 204_37w6d.dat           2016-03-02 19:26   10M  digitized signal(s)
[   ] 205_40w1d.dat           2016-03-02 19:26  7.6M  digitized signal(s)
[   ] 207_38w2d.dat           2016-03-02 19:26  9.2M  digitized signal(s)
[   ] 209_37w3d.dat           2016-03-02 19:26  9.8M  digitized signal(s)
[   ] 210_37w3d.dat           2016-03-02 19:26  9.8M  digitized signal(s)
[   ] 211_37w2d.dat           2016-03-02 19:26  9.2M  digitized signal(s)
[   ] 212_39w0d.dat           2016-03-02 19:26  7.6M  digitized signal(s)
[   ] 213_37w4d.dat           2016-03-02 19:26  7.6M  digitized signal(s)
[   ] 214_37w3d.dat           2016-03-02 19:26  7.0M  digitized signal(s)
[   ] 218_38w0d.dat           2016-03-02 19:26  7.6M  digitized signal(s)
[   ] 221_37w0d.dat           2016-03-02 19:26  9.2M  digitized signal(s)
[   ] 222_38w0d.dat           2016-03-02 19:26  9.2M  digitized signal(s)
[   ] 224_39w0d.dat           2016-03-02 19:26  9.5M  digitized signal(s)
[   ] 225_37w6d.dat           2016-03-02 19:26  6.2M  digitized signal(s)
[   ] 226_38w0d.dat           2016-03-02 19:26  8.4M  digitized signal(s)
[   ] 227_40w3d.dat           2016-03-02 19:26  9.5M  digitized signal(s)
[   ] 229_39w1d.dat           2016-03-02 19:26  8.4M  digitized signal(s)
[   ] 230_38w5d.dat           2016-03-02 19:26  9.5M  digitized signal(s)
[   ] 232_37w6d.dat           2016-03-02 19:26  9.5M  digitized signal(s)
[   ] 233_39w3d.dat           2016-03-02 19:26  8.9M  digitized signal(s)
[   ] 234_37w5d.dat           2016-03-02 19:26  9.8M  digitized signal(s)
[   ] 235_39w0d.dat           2016-03-02 19:26  5.7M  digitized signal(s)
[   ] 237_40w2d.dat           2016-03-02 19:26  8.9M  digitized signal(s)
[   ] sensorpositions.dat     2016-03-02 19:26  894   digitized signal(s)
[   ] 202_38w0d.hea           2016-03-02 19:27  8.2K  header file
[   ] 203_37w3d.hea           2016-03-02 19:27  8.3K  header file
[   ] 204_37w6d.hea           2016-03-02 19:27  8.3K  header file
[   ] 205_40w1d.hea           2016-03-02 19:27  8.3K  header file
[   ] 207_38w2d.hea           2016-03-02 19:27  8.3K  header file
[   ] 209_37w3d.hea           2016-03-02 19:27  8.3K  header file
[   ] 210_37w3d.hea           2016-03-02 19:27  8.3K  header file
[   ] 211_37w2d.hea           2016-03-02 19:27  8.3K  header file
[   ] 212_39w0d.hea           2016-03-02 19:27  8.3K  header file
[   ] 213_37w4d.hea           2016-03-02 19:27  8.3K  header file
[   ] 214_37w3d.hea           2016-03-02 19:27  8.2K  header file
[   ] 218_38w0d.hea           2016-03-02 19:27  8.3K  header file
[   ] 221_37w0d.hea           2016-03-02 19:27  8.2K  header file
[   ] 222_38w0d.hea           2016-03-02 19:27  8.3K  header file
[   ] 224_39w0d.hea           2016-03-02 19:27  8.2K  header file
[   ] 225_37w6d.hea           2016-03-02 19:27  8.2K  header file
[   ] 226_38w0d.hea           2016-03-02 19:27  8.3K  header file
[   ] 227_40w3d.hea           2016-03-02 19:27  8.3K  header file
[   ] 229_39w1d.hea           2016-03-02 19:27  8.3K  header file
[   ] 230_38w5d.hea           2016-03-02 19:27  8.3K  header file
[   ] 232_37w6d.hea           2016-03-02 19:27  8.3K  header file
[   ] 233_39w3d.hea           2016-03-02 19:27  8.3K  header file
[   ] 234_37w5d.hea           2016-03-02 19:27  8.3K  header file
[   ] 235_39w0d.hea           2016-03-02 19:27  8.2K  header file
[   ] 237_40w2d.hea           2016-03-02 19:27  8.3K  header file
[   ] sensorpositions.hea     2016-03-02 19:27  9.0K  header file
[   ] RECORDS                 2016-03-02 19:36  266   list of record names

Questions and Comments

If you would like help understanding, using, or downloading content, please see our Frequently Asked Questions.

If you have any comments, feedback, or particular questions regarding this page, please send them to the webmaster.

Comments and issues can also be raised on PhysioNet's GitHub page.

Updated Friday, 28 October 2016 at 16:58 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.