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

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 reconstruc...

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Detalles Bibliográficos
Autores principales: Wang, Hui, Wu, Wenjie, Talcott, Michael, McKinstry, Robert C., Woodard, Pamela K., Macones, George A., Schwartz, Alan L., Cuculich, Phillip, Cahill, Alison G., Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956746/
https://www.ncbi.nlm.nih.gov/pubmed/31956675
http://dx.doi.org/10.1016/j.dib.2019.105078
Descripción
Sumario: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.