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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Wang, Hui |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6956746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69567462020-01-17 Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations 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 Data Brief Engineering 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. Elsevier 2020-01-03 /pmc/articles/PMC6956746/ /pubmed/31956675 http://dx.doi.org/10.1016/j.dib.2019.105078 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Engineering 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 Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title | Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title_full | Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title_fullStr | Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title_full_unstemmed | Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title_short | Electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
title_sort | electromyometrial imaging dataset of electromyograms and isochrone maps under deformation/electrical noise contaminations |
topic | Engineering |
url | 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 |
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