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-<h1>MMG Database</h1>
-<p><strong>Published:</strong> March 4, 2016. <strong>Version:</strong> 1.0.0</p>
-<p><strong>New Database Added:</strong> MMGDB (March 4, 2016, midnight)</p>
+<h1>Induced Cesarean EHG DataSet (ICEHG DS): An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery</h1>
 
-<p>The MMG Database contains uterine magnetomyographic (MMG) signals recorded using the 151 channel SARA (SQUID Array for Reproductive Assessment) system installed at UAMS, Little Rock, USA.</p>
+<p><strong>Creator:</strong> Franc Jager</p>
+<p><strong>Published:</strong> Oct. 8, 2023. <strong>Version:</strong> 1.0.1</p>
 
 <h2>Citation</h2>
-<p>When using this resource, please cite the original publication:<br>
-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. <em>PLoS ONE</em>, 10(10), 2015.</p>
+<p>When using this resource, please cite:<br>
+Jager, F. (2023). Induced Cesarean EHG DataSet (ICEHG DS): An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery (version 1.0.1). PhysioNet. <a href="https://doi.org/10.13026/zw34-n382" target="_blank">https://doi.org/10.13026/zw34-n382</a>.</p>
+
+<p>Additionally, please cite the original publication:<br>
+Jager, F. (2023). An open dataset with electrohysterogram records of pregnancies ending in induced and cesarean section delivery. <em>Scientific Data</em>. 10, Article number: 669. <a href="https://doi.org/10.1038/s41597-023-02581-6" target="_blank">https://doi.org/10.1038/s41597-023-02581-6</a></p>
 
 <p>Please include the standard citation for PhysioNet:<br>
 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. <em>Circulation</em> [Online]. 101 (23), pp. e215–e220.</p>
 
 <h2>Abstract</h2>
-<p>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.</p>
+<p>The surface electrohysterogram (EHG) has emerged as a promising diagnostic tool for non-invasive automated preterm birth prediction. This dataset contains 126 30-minute EHG records, recorded either early (23rd week) or later (31st week) during pregnancy, from pregnancies that ended in induced or cesarean section delivery. Data were collected at the University Medical Center Ljubljana, Slovenia, and are intended to support studies into improving the robustness of automated preterm birth prediction methods.</p>
+
+<h2>Background</h2>
+<p>Existing preterm birth prediction methods often ignore induced and cesarean deliveries. With the increasing frequency of such deliveries, it is critical to account for these cases. This dataset, ICEHG DS, was created to enhance understanding of EHG signal characteristics and support the development of better predictive models.</p>
+
+<h2>Methods</h2>
+<h3>Data Collection</h3>
+<p>EHG records were collected between 1997 and 2006 at the Clinical Department of Perinatology, University Medical Center Ljubljana. They were recorded during routine checkups or hospital admissions for impending preterm labor. Women provided written informed consent, and ethical approval was obtained from the National Medical Ethics Committee of the Republic of Slovenia (No. 32/01/97).</p>
+
+<h3>Recording Protocol</h3>
+<p>EHG signals were collected using four Ag/AgCl electrodes placed symmetrically around the navel. Data were sampled at 20 Hz with a 16-bit resolution. Signals were filtered before recording to remove noise and aliasing effects.</p>
+
+<h3>Data Processing</h3>
+<p>The original signals were digitally filtered (0.08 Hz to 5.0 Hz band-pass Butterworth filter) to remove slow drifts. Filtered versions were included alongside the original signals in the dataset.</p>
 
 <h2>Data Description</h2>
-<p>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.</p>
-
-<p>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 (i.e., 38w0d). Header files contain channel labels and the following clinical information:</p>
-
+<p>The ICEHG DS contains:</p>
 <ul>
-  <li>Cervical dilation (dilation cm)/(effacement %)/(station)</li>
-  <li>Days to delivery after SARA recording</li>
-  <li>Race</li>
-  <li>BMI</li>
-  <li>Gestation Period (weeks+days)</li>
+  <li>126 EHG records from 91 pregnancies.</li>
+  <li>Records are categorized into early (23rd week) and later (31st week) datasets based on delivery mode (induced, cesarean, induced-cesarean).</li>
+  <li>Stored in PhysioNet's WFDB format and also available in MATLAB format.</li>
 </ul>
 
-<p>The <strong>sensorpositions</strong> record contains x, y, and z coordinates of the SARA array's 149 different channels present in the database. Refer to <em>SARAarray.eps</em> or <em>SARAarray.tif</em> for diagrams of the apparatus.</p>
+<p>Each record includes:</p>
+<ul>
+  <li>A figure showing raw and filtered signals.</li>
+  <li>A binary signal file (.dat).</li>
+  <li>A header file (.hea) with clinical and recording information.</li>
+</ul>
 
-<h2>Relevant Publications</h2>
+<h2>Usage Notes</h2>
+<p>The ICEHG DS supports:</p>
 <ul>
-  <li>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. <em>Am J Obstet Gynecol</em>, 190(6), pp. 1598-1602, 2004.</li>
-  <li>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. <em>Am J Obstet Gynecol</em>, 187(1), pp. 145-151, 2002.</li>
+  <li>Studying physiological mechanisms leading to induction or cesarean delivery.</li>
+  <li>Prediction of delivery mode early in pregnancy.</li>
+  <li>Improved classification models for term and preterm birth prediction.</li>
 </ul>
+
+<p>Limitations:</p>
+<ul>
+  <li>Unipolar electrode signals are not stored.</li>
+  <li>Filtered signals may have transient artifacts at the start and end (first and last 150 seconds).</li>
+</ul>
+
+<h2>Ethics</h2>
+<p>The collection was approved by the National Medical Ethics Committee of Slovenia. Participants provided written consent.</p>
+
+<h2>Acknowledgements</h2>
+<p>This research was funded by the Slovenian Research Agency (ARRS) under the project "Metabolic and inborn factors of reproductive health, birth III".</p>
+
+<h2>Conflicts of Interest</h2>
+<p>No conflict of interest was declared. The funder had no role in study design, data collection, analysis, or publication.</p>
+
+<h2>References</h2>
+<p>[References 1-11 available in original documentation.]</p>