Specifications Table

Subject	Biomedical Engineering
Specific subject area	Electrophysiology; Imaging technique
Type of data	Figures
How data were acquired	Body-uterus geometry was imaged by Magnetic resonance imaging (MRI) and segmented using Amira software (Version 6.2). Electrograms and isochrone maps under deformation or electrical noise were reconstructed by Electromyometrial imaging (EMMI).
Data format	Raw computational Analyzed
Parameters for data collection	Images of uterus and abdomen were acquired using human MRI scanner from an anesthetized sheep. The sheep uterine electrograms were recorded during a surgical procedure to expose the sheep uterus [2]. Laplacian deformation algorithm was employed to simulate and generate geometrical changes under ideal elastic deformation conditions.
Description of data collection	MRI images of uterus and abdomen were acquired using a radial VIBE fast T1-weighted sequence from an anesthetized sheep. MRI images were segmented and rendered to uterus and body mesh. The sheep uterus was exposed surgically, and an elastic sock containing 64 or 128 sintered Ag–AgCl electrodes was slipped over the uterus to record the electrograms at a 2 kHz sampling rate using Biosemi system [2]. Gaussian and Perline noise were simulated with the SNR = 17.5 dB. Maximum body-uterus deformation ratios simulated for Type I kick, Type II kick, contraction were 0.3, 0.3, 0.14, respectively. The standard deviation of deformation distance of fetal/maternal movements is 0.67 cm.
Data source location	Washington University in St. Louis School of Medicine, St. Louis, Missouri, United States
Data accessibility	The data are available with the article.
Related research article	H. Wang, W. Wu, M. Talcott, S. Lai, R.C. McKinstry, P.K. Woodard, G.A. Macones, A.L. Schwartz, P.S. Cuculich, A.G. Cahill, Y. Wang, Accuracy of electromyometrial imaging of uterine contractions in clinical environment, Computers in biology and medicine, 116 (2020) 103543. doi:10.1016/j.compbiomed.2019.103543. [1].