Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations

Hui Wang, Wenjie Wu, Michael Talcott, Robert C. McKinstry, Pamela K. Woodard, George A. Macones, Alan L. Schwartz, Phillip Cuculich, Alison G. Cahill, Yong Wang

Research output: Contribution to journalArticle

Abstract

The dataset presented in this paper is related to the recent work “Accuracy of electromyometrial imaging of uterine contractions in clinical environment” [1]. The dataset including body-uterus geometry obtained from magnetic resonance imaging (MRI), uterine electrograms and isochrone maps reconstructed using Electromyometrial imaging (EMMI) under various levels of deformations and electrical noise contamination in a translational sheep model are reported. The dataset make it possible for detailed evaluation and further improvement of EMMI. In addition, the researchers working on other types of electrophysiology imaging techniques, such as electrocardiographic imaging (ECGI), and Electrogastrography imaging (EGGI) could also adopt our method [1] and employ the dataset to evaluate and improve their imaging techniques.

Original languageEnglish
Article number105078
JournalData in Brief
Volume28
DOIs
StatePublished - Feb 2020

Keywords

  • Electrical noise
  • Electromyograms
  • Electromyometrial imaging
  • Geometry
  • Isochrone maps
  • Sheep model

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