Literature DB >> 25984349

The Icelandic 16-electrode electrohysterogram database.

Asgeir Alexandersson1, Thora Steingrimsdottir2, Jeremy Terrien3, Catherine Marque3, Brynjar Karlsson1.   

Abstract

External recordings of the electrohysterogram (EHG) can provide new knowledge on uterine electrical activity associated with contractions. Better understanding of the mechanisms underlying labor can contribute to preventing preterm birth which is the main cause of mortality and morbidity in newborns. Promising results using the EHG for labor prediction and other uses in obstetric care are the drivers of this work. This paper presents a database of 122 4-by-4 electrode EHG recordings performed on 45 pregnant women using a standardized recording protocol and a placement guide system. The recordings were performed in Iceland between 2008 and 2010. Of the 45 participants, 32 were measured repeatedly during the same pregnancy and participated in two to seven recordings. Recordings were performed in the third trimester (112 recordings) and during labor (10 recordings). The database includes simultaneously recorded tocographs, annotations of events and obstetric information on participants. The publication of this database enables independent and novel analysis of multi-electrode EHG by the researchers in the field and hopefully development towards new life-saving technology.

Entities:  

Mesh:

Year:  2015        PMID: 25984349      PMCID: PMC4431509          DOI: 10.1038/sdata.2015.17

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


Background & Summary

Preterm birth is defined as birth before 37 completed weeks of gestation. On average, 12% of babies are born preterm in lower-income countries and 9% in higher-income countries[1]. Babies who are born preterm often require special care and face greater risks of serious health problems, including cerebral palsy, intellectual impairment, chronic lung disease, and vision and hearing loss. Preterm birth is the leading cause of newborn deaths (babies in the first four weeks of life) and the second leading cause of death in children under five years (after pneumonia). Preterm birth rates are increasing in almost all countries[1]. Currently, there is no effective way of preventing preterm birth. The main reason is that no good objective method currently exists to evaluate the stepwise progression of pregnancy through to labor, neither at term nor preterm. Various techniques have been adopted to monitor and/or diagnose labor, but they are either subjective or indirect and do not provide an accurate prediction of when labor will take place[2-5]. Studies have shown that external monitoring of uterine electrical activity using an electrohysterogram (EHG) is representative of uterine contractility[6] and show promising results in predicting preterm labor[3-5,7,8]. Most of the early studies on EHG used two to five electrodes[2,6] and therefore concentrated on the activity in a single location of the uterus. In 2007, a collaborative group from France and Iceland, involving biomedical researchers, engineers and medical doctors, started using monopolar electrodes in a 4-by-4 configuration on the abdomen aimed at providing information on uterine electrical activity propagation[9]. Guided by this preliminary work, the 16-electrode system was used to perform pregnancy and labor recordings in Iceland at Landspitali University Hospital, Akureyri Hospital and the Akureyri Primary Health Care Centre. In total, a database of 122 EHG recordings was created between 2008 and 2010. The majority of participants were measured multiple times during the same pregnancy and took part in two to seven recordings. These multiple, or longitudinal, measurements were aimed at observing the evolution of contractions during pregnancy and towards labor. Parts of the data have already been used for developing and analyzing various signal processing methods and have led to several publications[8,10-23]. In particular, the work has concentrated on efforts to accurately distinguish true labor contractions from normal pregnancy contractions, with some success[8,10-17,20-23]. Compared to linear methods, non-linear methods may provide a superior way to differentiate between pregnancy and labor contractions[8,11,22] and multichannel recordings seem to improve this classification rate[10]. Interest in EHG propagation parameters has been increasing among researchers[24] and efforts have been made to exploit the information on the propagation and/or synchronization of different locations of the uterus which the extended geometry of the measurement system provides. The results indicate that propagation parameters can be important in accurately recognizing true labor[25,26]. Parts of the data were included in the BioModUE_PTL project which led to the development and validation of a biophysics based multiscale model of the EHG, going from the cell to the electrical signal measured on the abdomen[27]. None of these past publications, however, have described the database in detail and studies have so far only used parts of the data presented. We provide open access to the database so that the international scientific community can freely generate greater understanding of the mechanics of the uterus and develop applications that improve obstetric care and hopefully accurately predict preterm labor. This paper describes the recording methods used and gives a detailed description of the Icelandic 16-electrode electrohysterogram database.

Methods

Data collection

The recordings were performed between 2008 and 2010 in Iceland. Pregnancy recordings, defined as recordings performed at antenatal care clinics on participants in the third trimester and not suspected to be in labor, were performed at Akureyri Primary Health Care Centre and Landspitali University Hospital. Labor recordings, defined as measurements performed on participants suspected to be in labor, present in the labor wards and who delivered within 24 h, were performed at Landspitali University Hospital and Akureyri Hospital. Participants were invited to take part in the recordings during antenatal care visits or at the labor wards and had normal singleton pregnancies and no known risk factors for preterm birth. Informed consent was obtained from every participant and the protocol was approved by the National Bioethics Committee in Iceland (VSN 02-006-V4). After each pregnancy recording, the participant was invited to take part in another recording one to two weeks later. All data can be found in PhysioNet (Data Citation 1).

Recording protocol

Reusable Ag/AgCl electrodes with a 13.0 mm outer diameter and an 8.0 mm inner diameter were used for the recordings. An alignment frame, a double sided hypoallergenic adhesive sheet and a silicone backing were designed and manufactured to enable a standardized electrode setup with a 17.5 mm distance between adjacent electrode centers. The alignment frame was used to align and attach an uncovered side of the double sided adhesive sheet to the silicone backing. The dimensions of the double sided adhesive sheet and silicone backing can be seen in Fig. 1 along with the back view of the silicone backing attached to the double sided adhesive sheet.
Figure 1

Silicone backing and double sided adhesive sheet.

The dimensions (mm) of the silicone backing (a) and double sided adhesive sheet (b) are shown along with the back view of the silicone backing attached to the double sided adhesive sheet (c). The thickness of the silicone backing is 1.5 mm.

The electrodes were then placed into the holes in the silicone backing and attached to the adhesive sheet. The abdominal skin of the participant was carefully prepared using an abrasive paste and alcohol solution. After filling the electrode holes with electrode gel, wiping the excess gel away with a straight edged card and uncovering the other side of the double sided adhesive sheet, the electrode-adhesive-silicone matrix was attached to the abdomen. The electrode numbering scheme, as seen when looking at the abdomen of the participant, can be seen in Fig. 2.
Figure 2

The electrode numbering scheme, as seen when looking at the abdomen of the participant.

The desired position on the abdomen was with the third vertical line of electrodes (electrodes 9 to 12) placed on the median axis of the uterus and the 10th–11th pair of electrodes half way between the uterine fundus and pubic symphysis. The navel was avoided by displacing the matrix up or down whilst staying as close as possible to the desired position. The skin over the iliac crests on both sides was prepared in the same way as the abdomen and a patient ground electrode and reference electrode with electrode gel were then attached on each side using adhesive washers, with inner diameters corresponding to the inner diameter of the electrodes. The locations of the reference and patient ground electrodes were not standardized to certain sides for the recordings. The electrode positions can be seen in Fig. 3.
Figure 3

Ideal position of the 4-by-4 electrode grid.

The third vertical line of electrodes (electrodes 9 to 12) is placed on the median axis of the uterus and the 10th–11th pair of electrodes half way between the uterine fundus and pubic symphysis. The corner electrodes of the 4-by-4 grid are labelled. The black electrodes represent the patient ground and the reference electrodes (sides not standardized).

A tocodynamometer was also attached to the abdomen during recordings. For pregnancy recordings, the participants were seated in recliner chairs and a support, such as a small pillow, was positioned under the right side of the participants to prevent potential aortocaval compression syndrome. For labor recordings, the participants were lying on their beds in the maternity wards and the researcher did not try to affect their positioning. A photo of the setup during a recording can be seen in Fig. 4.
Figure 4

The recording setup.

The abdominal electrodes and the tocodynamometer can be seen.

The intended duration of a pregnancy recording was one hour and the intended duration of a labor recording was at least half an hour, but the participant could stop the measurement at any time. The measurements were performed using a sixteen channel multi-purpose physiological signal recorder (Embla A10), most commonly used for investigating sleep disorders. An anti-aliasing filter with a high cut-off frequency of 100 Hz was used but no high pass filter was used. The signal sampling rate was 200 Hz and the signal was digitized to 16 bits. The sixteen monopolar electrode signals were originally stored in the EDF (European Data Format) format by the Somnologica software used to control the Embla A10. All the recordings were performed by the same person (A.A.). Each participant was assigned an ID number and for each recording, information on participant age, body mass index (BMI) gestational age, placental position, gravidity, parity, history of cesarean section, eventual mode of delivery and gestational age at delivery was noted. During a recording, the researcher recorded participant movements, equipment manipulation, participant-reported possible contractions and fetal movements, and any other unusual events. The participant and researcher conversed freely during the recordings and no restrictions were placed on the participant in terms of changing position if needed.

Data processing

No processing of data was performed beyond converting between file formats. The aim is that those that use the data can do so with a fresh start. Future additions to this database may include pre-treated signals and segmented contractions. The EDF files obtained during the recordings were converted into WFDB (WaveForm DataBase—www.physionet.org/physiotools/wfdb.shtml) compatible signal (.dat) and header (.hea) files using the edf2mit WFDB application (www.physionet.org/physiotools/wag/edf2mi-1.htm) and Cygwin software (cygwin.com). Annotation (.atr) files containing events during recordings were created manually by using the WFDB-compatible signal and header files and WAVE, an X Window System client application (www.physionet.org/physiotools/wfdb.shtml#WAVE). The wfdb2mat WFDB application (www.physionet.org/physiotools/wag/wfdb2m-1.htm) was used to convert the WFDB-compatible signal and header files into MATLAB (.mat) and corresponding header (.hea) files. The rdann function from the WFDB Toolbox for MATLAB (www.physionet.org/physiotools/matlab/wfdb-app-matlab) was used to create MATLAB (.mat) files containing the information from the annotation files. The tocograph paper traces were scanned to JPEG images and a time axis corresponding to the recording was inserted onto the scanned images. All information that could possibly lead to the identification of the participant, such as personal data and dates, was manually removed from these images using a graphics editor.

Data Records

The data records in the Icelandic 16-electrode electrohysterogram database are stored in a PhysioBank database in PhysioNet[28] (Data Citation 1). A total of 122 recordings were performed on 45 participants. Of the 45 participants, 32 were measured more than once during the same pregnancy and the highest number of recordings for a participant was seven recordings. Ten recordings were performed during labor and five participants took part in measurements during both pregnancy and labor. The lowest gestational age was twenty nine weeks and five days (29w5d—pregnancy recording) and the highest gestational age was forty one weeks and five days (41w5d—labor recording). The average recording duration for pregnancy recordings was 61 min (range 19–86 min) and the average recording duration for labor recordings was 36 min (range 8–64 min). File names in the database are of the form ice###_*type*_*record number*, where ice### is the ID of the participant (e.g., ice001), *type* refers to the type of recording: p (pregnancy) or l (labor), and *record number* is the number of recording for that particular participant (e.g., 1of3). Each recording has three associated files: -A scanned tocograph with a manually inserted recording time axis (.jgp file). Each small square represents 30 s. -A binary signal (.dat) file containing the data from the 16 monopolar electrodes. -A header (.hea) file: The fields in the header files are according to the WFDB convention and are listed in detail on the PhysioNet website (www.physionet.org/physiotools/wag/header-5.htm). Lines 2–17 of the header files are signal specification lines and the strings at the end of these lines correspond to the signal labels. The signals are labelled with ‘EHGn’ where ‘n’ refers to the relevant electrode number (electrode numbers are not in ascending order). Information from each recording is at the end of the header files and includes: -Participant ID -Record number -Record type (labor, pregnancy) -Age of participant (years) -BMI (body mass index) of participant before pregnancy -BMI of participant at time of recording -Gravidity (number of times participant has been pregnant, including current pregnancy) -Parity (previous births after 22 weeks gestation) -Previous cesarean (Yes, No) -Placental position -Gestational age at recording (weeks/days), according to a first trimester ultrasound -Gestational age at delivery (weeks/days), -Mode of delivery (Vaginal, Vaginal/Induction, Elective cesarean, Emergency cesarean due to slow progress, Emergency cesarean due to other than slow progress). Vaginal delivery indicates spontaneous onset unless appended with /Induction. -Synthetic oxytocin use in labor (Yes, No) -Epidural during labor (Yes, No) -Comments for recording -Comments for delivery For 111 of the recordings, there is also an annotation (.atr) file containing the type and timing of events. The types of event are: - C—Contraction. Used when the participant feels a contraction or there is a very likely contraction on the tocograph (not always used when there is an obvious contraction on the tocograph). - (c)—Possible contraction. Used when there is not a very likely contraction but the participant has pressure sensation or a contraction is suspected on the tocograph. - pm—Participant movement. - pos—Participant change of position. - fm—Fetal movement. Used when the participant feels fetal movement. - em—Equipment manipulation. Used when electrodes are pressed more firmly onto the abdomen if otherwise not explained in the comments. The database also includes: -The zip file icelandic16ehgmat.zip that includes MATLAB (.mat) versions of all the signal files along with header files (file names of the form ice###_*type*_*record number*m) and MATLAB (.mat) versions of the annotations (file names of the form ice###_*type*_*record number*m_ann). This is provided for the convenience of users that want to analyze the data in MATLAB. -RECORDS.txt containing a list of the recordings by record name, with one record name per line. Table 1 (available online only) contains the clinical information from each recording (information from the header files excluding comments) along with the recording duration and whether or not the recording has a corresponding annotation file. This information can also be found in info.txt in the database.
Table 1

The clinical information from each of the 122 recordings in the Icelandic 16-electrode electrohysterogram database along with recording duration and whether or not the recording has a corresponding annotation file

Filename ID Record type Record number Age (years) BMI before pregnancy BMI at recording Gravidity Parity Previous caesarean Placental position Gestational age at recording (w/d) Gestational age at delivery (w/d) Mode of delivery Synthetic oxytocin use in labour Epidural during labour Duration of recording (hh:mm:ss) Annotation file
ice001_l_1of1ice001labour13123.327.632NoFundus39/339/3VaginalNoNo0:08:20No
ice002_p_1of3ice002pregnancy13820.725.941NoPosterior38/140/4VaginalNoNo1:08:05Yes
ice002_p_2of3ice002pregnancy23820.725.941NoPosterior39/140/4VaginalNoNo1:02:10Yes
ice002_p_3of3ice002pregnancy33820.726.441NoPosterior40/140/4VaginalNoNo1:00:35Yes
ice003_p_1of2ice003pregnancy12328.434.110NoAnterior37/640/0VaginalNoNo1:01:10Yes
ice003_p_2of2ice003pregnancy22328.434.610NoAnterior38/640/0VaginalNoNo1:00:45Yes
ice004_p_1of1ice004pregnancy13031.035.842NoPosterior36/541/3Vaginal/InductionNoNo1:06:10Yes
ice005_p_1of3ice005pregnancy12829.031.220NoPosterior32/440/3VaginalYesNo1:01:55Yes
ice005_p_2of3ice005pregnancy22829.031.220NoPosterior34/640/3VaginalYesNo0:59:20Yes
ice005_p_3of3ice005pregnancy32829.031.620NoPosterior36/640/3VaginalYesNo1:05:30Yes
ice006_p_1of2ice006pregnancy13031.637.421NoPosterior36/137/6Vaginal/InductionYesNo1:02:10Yes
ice006_p_2of2ice006pregnancy23031.637.621NoPosterior37/437/6Vaginal/InductionYesNo1:02:45Yes
ice007_p_1of3ice007pregnancy11923.227.810NoPosterior32/541/2VaginalNoNo1:06:40Yes
ice007_p_2of3ice007pregnancy21923.228.110NoPosterior35/541/2VaginalNoNo1:13:55Yes
ice007_p_3of3ice007pregnancy31923.229.410NoPosterior37/541/2VaginalNoNo1:01:50Yes
ice008_p_1of4ice008pregnancy12620.925.352NoAnterior35/540/2VaginalNoNo1:02:00Yes
ice008_p_2of4ice008pregnancy22620.925.352NoAnterior37/640/2VaginalNoNo1:00:55Yes
ice008_p_3of4ice008pregnancy32620.925.052NoAnterior39/240/2VaginalNoNo1:06:30Yes
ice008_p_4of4ice008pregnancy42620.925.352NoAnterior40/140/2VaginalNoNo1:05:30Yes
ice009_p_1of2ice009pregnancy12422.825.321NoPosterior33/139/0VaginalNoNo1:25:30Yes
ice009_p_2of2ice009pregnancy22422.826.121NoPosterior38/139/0VaginalNoNo0:49:35Yes
ice010_p_1of3ice010pregnancy12219.123.010NoPosterior29/541/4VaginalYesYes1:07:40Yes
ice010_p_2of3ice010pregnancy22219.123.010NoPosterior31/541/4VaginalYesYes1:02:00Yes
ice010_p_3of3ice010pregnancy32219.123.810NoPosterior34/541/4VaginalYesYes1:04:15Yes
ice011_p_1of3ice011pregnancy13725.430.943NoAnterior36/040/0VaginalYesNo1:06:10Yes
ice011_p_2of3ice011pregnancy23725.431.143NoAnterior38/040/0VaginalYesNo1:00:50Yes
ice011_l_3of3ice011labour33725.431.843NoAnterior40/040/0VaginalYesNo0:25:10No
ice012_p_1of4ice012pregnancy11923.426.820NoPosterior33/040/6VaginalNoYes1:01:05Yes
ice012_p_2of4ice012pregnancy21923.426.820NoPosterior35/040/6VaginalNoYes1:00:50Yes
ice012_p_3of4ice012pregnancy31923.427.420NoPosterior37/040/6VaginalNoYes1:00:55Yes
ice012_p_4of4ice012pregnancy41923.427.820NoPosterior38/040/6VaginalNoYes0:59:10Yes
ice013_p_1of3ice013pregnancy12830.535.421NoPosterior34/440/4VaginalNoNo1:02:20Yes
ice013_p_2of3ice013pregnancy22830.536.021NoPosterior38/040/4VaginalNoNo0:52:15Yes
ice013_p_3of3ice013pregnancy32830.535.921NoPosterior39/040/4VaginalNoNo1:03:40Yes
ice014_p_1of3ice014pregnancy13328.132.232NoPosterior36/240/1VaginalNoNo1:00:45Yes
ice014_p_2of3ice014pregnancy23328.132.732NoPosterior38/240/1VaginalNoNo1:02:35Yes
ice014_p_3of3ice014pregnancy33328.132.832NoPosterior39/240/1VaginalNoNo0:51:10Yes
ice015_p_1of1ice015pregnancy12325.130.710NoAnterior36/438/3Emergency caesarean due to other than slow progressNoNo1:14:55Yes
ice016_l_1of1ice016labour12023.930.530NoAnterior39/339/3VaginalYesYes0:50:55Yes
ice017_p_1of3ice017pregnancy13119.524.421NoAnterior36/542/1Vaginal/InductionYesNo0:46:50Yes
ice017_p_2of3ice017pregnancy23119.525.221NoAnterior39/342/1Vaginal/InductionYesNo1:00:40Yes
ice017_p_3of3ice017pregnancy33119.525.321NoAnterior40/642/1Vaginal/InductionYesNo0:19:10Yes
ice018_p_1of1ice018pregnancy13724.128.942YesPosterior38/138/4Elective caesareanNoNo1:01:10Yes
ice019_p_1of1ice019pregnancy12921.125.242NoFundus40/241/1VaginalNoNo0:55:15No
ice020_l_1of1ice020labour12420.927.210NoPosterior/Lateral left41/541/5VaginalYesYes1:04:10No
ice021_p_1of3ice021pregnancy12725.430.410NoAnterior35/340/2VaginalYesYes1:03:40Yes
ice021_p_2of3ice021pregnancy22725.430.410NoAnterior36/640/2VaginalYesYes1:03:00Yes
ice021_p_3of3ice021pregnancy32725.430.410NoAnterior37/640/2VaginalYesYes1:02:35Yes
ice022_p_1of1ice022pregnancy12119.624.410NoAnterior34/238/0VaginalNoNo1:08:10Yes
ice023_p_1of1ice023pregnancy12931.633.521NoPosterior32/440/5VaginalYesYes1:04:50Yes
ice024_l_1of1ice024labour13538.642.221NoPosterior39/639/6VaginalNoNo0:25:20Yes
ice025_l_1of1ice025labour12727.330.820NoAnterior41/241/2VaginalYesYes0:51:40Yes
ice026_p_1of4ice026pregnancy12526.228.510NoAnterior35/039/5VaginalYesNo0:52:45Yes
ice026_p_2of4ice026pregnancy22526.228.610NoAnterior37/039/5VaginalYesNo1:00:55Yes
ice026_p_3of4ice026pregnancy32526.228.910NoAnterior38/039/5VaginalYesNo1:00:50Yes
ice026_p_4of4ice026pregnancy42526.229.010NoAnterior39/039/5VaginalYesNo1:05:15Yes
ice027_p_1of7ice027pregnancy13131.134.572NoAnterior29/538/1VaginalYesNo0:56:45No
ice027_p_2of7ice027pregnancy23131.135.072NoAnterior33/338/1VaginalYesNo1:01:15Yes
ice027_p_3of7ice027pregnancy33131.135.272NoAnterior34/538/1VaginalYesNo1:00:25No
ice027_p_4of7ice027pregnancy43131.135.572NoAnterior35/538/1VaginalYesNo1:00:10Yes
ice027_p_5of7ice027pregnancy53131.135.272NoAnterior36/538/1VaginalYesNo1:00:25Yes
ice027_p_6of7ice027pregnancy63131.135.572NoAnterior37/538/1VaginalYesNo1:01:40Yes
ice027_l_7of7ice027labour73131.135.572NoAnterior38/138/1VaginalYesNo0:32:00No
ice028_p_1of3ice028pregnancy13121.624.941NoPosterior34/138/0VaginalNoNo1:03:30Yes
ice028_p_2of3ice028pregnancy23121.625.341NoPosterior36/138/0VaginalNoNo1:00:30Yes
ice028_p_3of3ice028pregnancy33121.625.741NoPosterior37/138/0VaginalNoNo1:06:20Yes
ice029_p_1of2ice029pregnancy12524.528.332NoAnterior/Superior32/535/3Vaginal/InductionYesYes1:00:20Yes
ice029_p_2of2ice029pregnancy22524.528.832NoAnterior/Superior34/535/3Vaginal/InductionYesYes1:00:40Yes
ice030_p_1of4ice030pregnancy13320.125.621YesPosterior/Superior33/637/0VaginalYesYes1:01:25No
ice030_p_2of4ice030pregnancy23320.126.021YesPosterior/Superior35/637/0VaginalYesYes1:04:25Yes
ice030_p_3of4ice030pregnancy33320.126.421YesPosterior/Superior36/637/0VaginalYesYes1:01:00Yes
ice030_l_4of4ice030labour43320.126.421YesPosterior/Superior37/037/0VaginalYesYes0:31:30No
ice031_p_1of3ice031pregnancy13835.035.963YesAnterior36/139/0VaginalYesNo1:00:15Yes
ice031_p_2of3ice031pregnancy23835.035.663YesAnterior38/339/0VaginalYesNo1:00:35Yes
ice031_l_3of3ice031labour33835.035.863YesAnterior39/039/0VaginalYesNo0:37:55Yes
ice032_p_1of5ice032pregnancy13126.028.710NoPosterior31/640/1VaginalNoNo0:34:10Yes
ice032_p_2of5ice032pregnancy23126.028.710NoPosterior34/040/1VaginalNoNo1:01:15Yes
ice032_p_3of5ice032pregnancy33126.029.410NoPosterior36/040/1VaginalNoNo1:07:00Yes
ice032_p_4of5ice032pregnancy43126.029.810NoPosterior37/240/1VaginalNoNo1:08:25Yes
ice032_p_5of5ice032pregnancy53126.030.110NoPosterior40/040/1VaginalNoNo1:00:35Yes
ice033_p_1of1ice033pregnancy12020.424.130NoAnterior33/239/1VaginalYesYes1:00:45Yes
ice034_p_1of5ice034pregnancy13622.124.932NoAnterior/High30/338/5Vaginal/InductionYesYes1:01:45Yes
ice034_p_2of5ice034pregnancy23622.125.232NoAnterior/High32/338/5Vaginal/InductionYesYes1:04:35Yes
ice034_p_3of5ice034pregnancy33622.125.732NoAnterior/High35/338/5Vaginal/InductionYesYes1:03:20Yes
ice034_p_4of5ice034pregnancy43622.125.832NoAnterior/High37/538/5Vaginal/InductionYesYes0:50:00Yes
ice034_l_5of5ice034labour53622.125.832NoAnterior/High38/538/5Vaginal/InductionYesYes0:36:00No
ice035_p_1of3ice035pregnancy13434.336.332YesAnterior/High32/039/0Elective caesareanNoNo1:00:25Yes
ice035_p_2of3ice035pregnancy23434.336.532YesAnterior/High34/039/0Elective caesareanNoNo1:00:25Yes
ice035_p_3of3ice035pregnancy33434.337.032YesAnterior/High36/039/0Elective caesareanNoNo1:00:15Yes
ice036_p_1of6ice036pregnancy13931.035.552NoAnterior/High31/641/1Emergency caesarean due to other than slow progressNoNo1:00:30Yes
ice036_p_2of6ice036pregnancy23931.036.252NoAnterior/High34/241/1Emergency caesarean due to other than slow progressNoNo0:58:40Yes
ice036_p_3of6ice036pregnancy33931.035.552NoAnterior/High37/341/1Emergency caesarean due to other than slow progressNoNo1:04:55Yes
ice036_p_4of6ice036pregnancy43931.035.852NoAnterior/High38/341/1Emergency caesarean due to other than slow progressNoNo1:03:15Yes
ice036_p_5of6ice036pregnancy53931.035.852NoAnterior/High39/341/1Emergency caesarean due to other than slow progressNoNo0:43:50Yes
ice036_p_6of6ice036pregnancy63931.035.852NoAnterior/High40/241/1Emergency caesarean due to other than slow progressNoNo1:02:10Yes
ice037_p_1of2ice037pregnancy13326.631.921YesPosterior/High33/538/5Emergency caesarean due to other than slow progressNoNo1:03:35Yes
ice037_p_2of2ice037pregnancy23326.632.621YesPosterior/High36/538/5Emergency caesarean due to other than slow progressNoNo0:59:20Yes
ice038_p_1of1ice038pregnancy12928.432.241YesAnterior/High33/337/2Elective caesareanNoNo1:00:40Yes
ice039_p_1of6ice039pregnancy13429.829.910NoAnterior/High31/440/0VaginalNoNo1:02:20Yes
ice039_p_2of6ice039pregnancy23429.829.610NoAnterior/High33/440/0VaginalNoNo0:58:45Yes
ice039_p_3of6ice039pregnancy33429.830.010NoAnterior/High35/540/0VaginalNoNo1:01:50Yes
ice039_p_4of6ice039pregnancy43429.830.110NoAnterior/High37/240/0VaginalNoNo1:02:10Yes
ice039_p_5of6ice039pregnancy53429.830.510NoAnterior/High38/240/0VaginalNoNo1:02:30Yes
ice039_p_6of6ice039pregnancy63429.830.310NoAnterior/High39/240/0VaginalNoNo0:56:20Yes
ice040_p_1of5ice040pregnancy13920.728.220NoPosterior/High36/541/6Vaginal/InductionYesNo1:03:00Yes
ice040_p_2of5ice040pregnancy23920.728.920NoPosterior/High37/541/6Vaginal/InductionYesNo0:52:20Yes
ice040_p_3of5ice040pregnancy33920.729.420NoPosterior/High38/541/6Vaginal/InductionYesNo1:00:35Yes
ice040_p_4of5ice040pregnancy43920.729.720NoPosterior/High39/541/6Vaginal/InductionYesNo1:01:55Yes
ice040_p_5of5ice040pregnancy53920.729.720NoPosterior/High40/641/6Vaginal/InductionYesNo1:01:20Yes
ice041_p_1of2ice041pregnancy12633.937.631NoAnterior/Right36/038/5Vaginal/InductionNoNo1:02:30Yes
ice041_p_2of2ice041pregnancy22633.937.931NoAnterior/Right36/538/5Vaginal/InductionNoNo1:03:05Yes
ice042_p_1of2ice042pregnancy12520.322.620NoAnterior/High34/440/3VaginalYesYes1:00:40Yes
ice042_p_2of2ice042pregnancy22520.322.920NoAnterior/High38/240/3VaginalYesYes0:46:55Yes
ice043_p_1of2ice043pregnancy12524.126.220NoAnterior33/240/5Emergency caesarean due to other than slow progressNoNo1:06:15No
ice043_p_2of2ice043pregnancy22524.126.920NoAnterior36/440/5Emergency caesarean due to other than slow progressNoNo1:01:15Yes
ice044_p_1of3ice044pregnancy12823.228.410NoAnterior/High36/340/6VaginalYesNo1:01:55Yes
ice044_p_2of3ice044pregnancy22823.228.710NoAnterior/High38/540/6VaginalYesNo1:04:10Yes
ice044_p_3of3ice044pregnancy32823.229.110NoAnterior/High40/540/6VaginalYesNo0:58:30Yes
ice045_p_1of4ice045pregnancy12624.729.441NoAnterior/High33/240/0VaginalNoNo1:06:45Yes
ice045_p_2of4ice045pregnancy22624.729.841NoAnterior/High35/640/0VaginalNoNo1:05:55Yes
ice045_p_3of4ice045pregnancy32624.730.141NoAnterior/High37/340/0VaginalNoNo1:07:15Yes
ice045_p_4of4ice045pregnancy42624.730.541NoAnterior/High39/440/0VaginalNoNo1:11:00Yes

Technical Validation

The EHG signal has been shown to be representative of uterine contractions[6] and EHG is, in general, a well-proven technique[5]. The proof of concept and technical validation for the recording method used for the database was made in a preliminary study in 2007 (ref. 9). The preliminary study applied recognized EHG techniques to a new recording setup involving a 4-by-4 grid. This was mainly to better observe and analyze the spatial characteristics and propagation of the electrical activity during contractions rather than just the activity in a single location of the uterus as had been done before[2,6]. The results from the preliminary study showed a very acceptable SNR (signal to noise ratio) of bipolar signals (difference between adjacent monopolar electrodes)[29]. The use of the monopolar signals singly was however considered problematic, even with adaptive filtering methods due to external common mode noise (maternal ECG, respiration movements etc.). Efforts to use recent techniques such as empirical mode decomposition (EMD) and canonical component analysis (CCA) to clean up the signal have since met with some success[30]. The preliminary study data was also used to present a moving picture of the electrical activity during contractions. The activity was clearly observed and correlated well with the simultaneous tocograph trace[9]. In the preliminary study, electrodes were placed one at a time for the 4-by-4 grid, which was a time-consuming task and achieving the desired inter-electrode distance required great operator precision. To address these issues, a placement guide system was specifically developed (described in Methods). The system has a standardized setup ensuring a consistent distance between electrodes. The database therefore contains recordings made in a very similar way to the preliminary study, with the same electrode configuration, the same electrodes and same recording device but with a slightly smaller inter-electrode distance (17.5 versus 21 mm). The system has a shorter electrode attachment time than for the one by one electrode attachment method from the preliminary study and the placement of the electrodes into the silicone backing can be done before a recording, shortening the setup time for an actual recording to around five minutes. This enables recordings to be performed when there is little time and reduces any inconveniences for participants and health professionals. The data from the preliminary study is not included in the database presented here. All recordings were performed by the same researcher (A.A.) using the same protocol. The researcher (A.A.) stayed with the participants during recordings, recorded events first hand and monitored the equipment and electrode readouts continually. The tocodynamometer was recalibrated to 20 if readouts were zero. In the Embla A10 machine, an electrode that is unconnected or floating will give a signal which very quickly goes to saturation and is therefore easily recognized. If during a recording, an electrode gave a trace that was visually very unlike the traces of other electrodes or displayed values notably different from other values, it was pressed more firmly onto the abdomen to ensure connection to the skin. If all electrode traces seemed suboptimal (e.g., very noisy visually), the patient ground and reference electrode connections were inspected and the electrodes pressed more firmly onto the skin. In a few cases when suboptimal traces did not improve, the electrodes were reconnected and the recording then resumed. We therefore assume that although there may be parts of the data where the contact is faulty between the skin and the electrode, they are few and moreover they are easily recognizable. Parts of the data have already been used for developing and analyzing various signal processing methods and have led to several publications[8,10-23]. The technical quality of the data has been thoroughly checked throughout this work and has never been found to be lacking.

Usage Notes

Although EHG has become, in general, a well-proven technique, the EHG signals are known to be problematic in the sense that they are very low frequency and very low amplitude. The individual monopolar signals contain the measurement of the electric potential at each site in the matrix as referenced to the patient ground, with the reference electrode as a reference for the patient ground circuit. The patient ground and reference electrodes were always more than 20 cm away from each electrode in the matrix (varying between participants and gestational ages) and positioned over the iliac crest where little electrical activity is suspected. No use was made of the other electrodes as reference, average or otherwise. The raw signals therefore contain everything that creates a potential difference between the monopolar electrode and the patient ground. This includes the maternal and fetal ECG and some EMG from striated muscles. The signal also contains artifacts related to movements of the participant, fetal movement, and even fetal respiration has been observed. Fetal hiccups can give periodic spikes that are clearly visible. Our system proved very robust to 50 Hz line noise and this was never observed during measurements. Neither active shielding nor active grounding was used in the recordings. The setup resulted in a high level of electrode offset varying very slowly over time. There were considerable differences between electrodes during the same measurement sessions, with a typical value of the offset being several millivolts while the EHG signal is at the level of several tens of microvolts. Any processing of the signals could include high pass filtering with a very low cut-off frequency and/or a creation of a new reference using adjacent electrodes (i.e., bipolar or Laplacian). During pregnancy recordings, the fetal or maternal heart rates were not recorded. During labor recordings, fetal heart rate was usually monitored by the clinical team, but was not collected as a part of the study. The annotations and the tocograph complement each other. Some contractions that are present in the annotations are not obvious on the tocograph and some obvious contractions on the tocograph are not in the annotations. This explains in part why some recordings are without annotations. Noted fetal movement could last for differing amounts of time and participants did not always notify if they felt fetal movement. Sometimes fetal movement can be seen on the tocograph. The first sample of a signal file is indexed with 1 in the .mat files but with 0 in the .dat files and so there is an index number discrepancy of one between the two file formats (.mat and .dat). The MATLAB files contain the absolute raw units. Division by 131.068 gives the physical units in mV. Even though some pregnancies ended in cesarean, the participant was on occasion already in spontaneous labor. These incidences are explained in the comments sections of the header files. If a recording was close to birth, then the timing of the recording with regard to the birth is in the comments of the header file. Our aim is to publish this database as is, without giving the user any detailed directions and thus encouraging open-minded exploitation of the data. Making raw data available is the best way to do this. There are however some pointers about how to make sense of the data which we would like to communicate to the users. The data is sampled at 200 Hz. The EHG signals are generally assumed to be of very low frequency, from almost dc up to 3 Hz maximum. Decimating the raw signal (after low pass filtering) is advised, before or after creating a bipolar/multipolar signal or other de-noising. This will create more manageable files and it is often better to work with signals when the frequency of the signal to be observed is not as far away from the sampling frequency as in this case. This will also cut down calculation time in any complex analysis. Results have shown that decimation of this signal has little or even a positive effect on the performance of analysis methods[20]. Please be aware that there are inherent imprecisions in the synchronization between the EHG recordings and the annotations and tocographs. There can be differences in when participants start to feel a contraction or fetal movements and so differences in when participants notify about events. Events were therefore occasionally approximated to the nearest whole minute. There are also delays internal to the tocodynamometers. Due to factors such as these, the inserted recording times on the tocographs and the annotation times may be up to±30 s from the actual recording or event times. A user doing intensive work using these signals will have to develop an effective methodology to keep track of the signals, the way they have been pre-treated and the associated clinical parameters. Inspiration on how to organize such work can be sought in the structure of the SQL database framework which we developed[31]. Users can view the data and annotations through two web interfaces: LightWAVE (a JavaScript viewer—www.physionet.org/lightwave) and ATM (Automated Teller Machine—www.physionet.org/cgi-bin/atm/ATM). ATM´s toolbox includes software that can convert WFDB signal files to text, CSV, EDF or .mat files and can show samples and annotations as text. WAVE can also be used for viewing and analyzing the signals (www.physionet.org/physiotools/wfdb.shtml#WAVE). Annotations can be opened by using the ‘–a’ option with the wave WFDB application (www.physionet.org/physiotools/wag/wave-1.htm). The WFDB Software Package can be used to work with the recordings (www.physionet.org/physiotools/wfdb.shtml). For example, the command ‘rdann -r *record name* -a atr -f 0’ can be used to read the annotation files (www.physionet.org/physiotools/wag/rdann-1.htm). The WFDB Toolbox for MATLAB and Octave can also be used to work with the recordings (www.physionet.org/physiotools/matlab/wfdb-app-matlab).

Additional information

Table 1 is only available in the online version of this paper. How to cite this article: Alexandersson, A. et al. The Icelandic 16-electrode electrohysterogram database. Sci. Data 2:150017 doi: 10.1038/sdata.2015.17 (2015).
  21 in total

1.  Nonlinear estimation of coupling and directionality between signals: application to uterine EMG propagation.

Authors:  A Diab; M Hassan; S Boudaoud; C Marque; B Karlsson
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

2.  A multiscale model of the electrohysterogram the BioModUE_PTL project.

Authors:  Catherine Marque; Jérémy Laforêt; Chiara Rabotti; Asgeir Alexandersson; Guy Germain; Jean Gondry; Brynjar Karlsson; Brane Leskosek; Massimo Mischi; Charles Muszinski; Guid Oei; Jan Peuscher; Drago Rudel
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

3.  Combination of canonical correlation analysis and empirical mode decomposition applied to denoising the labor electrohysterogram.

Authors:  Mahmoud Hassan; Sofiane Boudaoud; Jérémy Terrien; Brynjar Karlsson; Catherine Marque
Journal:  IEEE Trans Biomed Eng       Date:  2011-05-10       Impact factor: 4.538

4.  Comparison between approximate entropy, correntropy and time reversibility: application to uterine electromyogram signals.

Authors:  Mahmoud Hassan; Jérémy Terrien; Catherine Marque; Brynjar Karlsson
Journal:  Med Eng Phys       Date:  2011-04-15       Impact factor: 2.242

Review 5.  Propagation of electrical activity in uterine muscle during pregnancy: a review.

Authors:  C Rabotti; M Mischi
Journal:  Acta Physiol (Oxf)       Date:  2014-12-05       Impact factor: 6.311

6.  Better pregnancy monitoring using nonlinear correlation analysis of external uterine electromyography.

Authors:  Malunoud Hassan; Jérémy Terrien; Charles Muszynski; Asgeir Alexandersson; Catherine Marque; Brynjar Karlsson
Journal:  IEEE Trans Biomed Eng       Date:  2012-11-21       Impact factor: 4.538

7.  Quantitative performance analysis of four methods of evaluating signal nonlinearity: application to uterine EMG signals.

Authors:  A Diab; M Hassan; C Marque; B Karlsson
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  Windowed multivariate autoregressive model improving classification of labor vs. pregnancy contractions.

Authors:  Brynjar Karlsson; Mahmoud Hassan; Catherine Marque
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

9.  Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals.

Authors:  Ahmad Diab; Mahmoud Hassan; Catherine Marque; Brynjar Karlsson
Journal:  Med Eng Phys       Date:  2014-03-01       Impact factor: 2.242

Review 10.  Uterine electromyography: a critical review.

Authors:  D Devedeux; C Marque; S Mansour; G Germain; J Duchêne
Journal:  Am J Obstet Gynecol       Date:  1993-12       Impact factor: 8.661

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  14 in total

1.  Comparison of electrohysterogram signal measured by surface electrodes with different designs: A computational study with dipole band and abdomen models.

Authors:  Pei Gao; Dongmei Hao; Yang An; Ying Wang; Qian Qiu; Lin Yang; Yimin Yang; Song Zhang; Xuwen Li; Dingchang Zheng
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

2.  Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Authors:  Lili Chen; Yaru Hao
Journal:  Comput Math Methods Med       Date:  2017-02-19       Impact factor: 2.238

3.  Automated electrohysterographic detection of uterine contractions for monitoring of pregnancy: feasibility and prospects.

Authors:  C Muszynski; T Happillon; K Azudin; J-B Tylcz; D Istrate; C Marque
Journal:  BMC Pregnancy Childbirth       Date:  2018-05-08       Impact factor: 3.007

4.  Characterization and automatic classification of preterm and term uterine records.

Authors:  Franc Jager; Sonja Libenšek; Ksenija Geršak
Journal:  PLoS One       Date:  2018-08-28       Impact factor: 3.240

5.  Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder.

Authors:  Lili Chen; Yaru Hao; Xue Hu
Journal:  PLoS One       Date:  2019-04-16       Impact factor: 3.240

6.  Development of Electrohysterogram Recording System for Monitoring Uterine Contraction.

Authors:  Dongmei Hao; Yang An; Xiangyun Qiao; Qian Qiu; Xiya Zhou; Jin Peng
Journal:  J Healthc Eng       Date:  2019-07-01       Impact factor: 2.682

7.  Evaluation of convolutional neural network for recognizing uterine contractions with electrohysterogram.

Authors:  Dongmei Hao; Jin Peng; Ying Wang; Juntao Liu; Xiya Zhou; Dingchang Zheng
Journal:  Comput Biol Med       Date:  2019-08-19       Impact factor: 4.589

Review 8.  Electrodes in external electrohysterography: a systematic literature review.

Authors:  Thierry R Jossou; Aziz Et-Tahir; Zakaria Tahori; Abdelmajid El Ouadi; Daton Medenou; Abdelmajid Bybi; Latif Fagbemi; Mohamed Sbihi; Davide Piaggio
Journal:  Biophys Rev       Date:  2021-05-09

9.  Toward noninvasive monitoring of ongoing electrical activity of human uterus and fetal heart and brain.

Authors:  S Lew; M S Hämäläinen; Y Okada
Journal:  Clin Neurophysiol       Date:  2017-09-19       Impact factor: 3.708

10.  Electrohysterogram for ANN-Based Prediction of Imminent Labor in Women with Threatened Preterm Labor Undergoing Tocolytic Therapy.

Authors:  J Mas-Cabo; G Prats-Boluda; J Garcia-Casado; J Alberola-Rubio; R Monfort-Ortiz; C Martinez-Saez; A Perales; Y Ye-Lin
Journal:  Sensors (Basel)       Date:  2020-05-08       Impact factor: 3.576

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