Author
Listed:
- Hui Wang
(Washington University
Washington University School of Medicine
Washington University School of Medicine)
- Zichao Wen
(Washington University School of Medicine
Washington University School of Medicine)
- Wenjie Wu
(Washington University School of Medicine
Washington University School of Medicine
Washington University)
- Zhexian Sun
(Washington University School of Medicine
Washington University School of Medicine
Washington University)
- Zulfia Kisrieva-Ware
(Washington University School of Medicine
Washington University School of Medicine)
- Yiqi Lin
(Washington University School of Medicine
Washington University School of Medicine
Washington University)
- Sicheng Wang
(Washington University School of Medicine
Washington University School of Medicine
Washington University)
- Hansong Gao
(Washington University School of Medicine
Washington University School of Medicine
Washington University)
- Haonan Xu
(Washington University School of Medicine
Washington University School of Medicine)
- Peinan Zhao
(Washington University School of Medicine)
- Qing Wang
(Washington University School of Medicine)
- George A. Macones
(The University of Texas at Austin)
- Alan L. Schwartz
(Washington University School of Medicine)
- Phillip Cuculich
(Washington University School of Medicine)
- Alison G. Cahill
(The University of Texas at Austin)
- Yong Wang
(Washington University School of Medicine
Washington University School of Medicine
Washington University
Washington University)
Abstract
Electromyometrial imaging (EMMI) was recently developed to image the three-dimensional (3D) uterine electrical activation during contractions noninvasively and accurately in sheep. Herein we describe the development and application of a human EMMI system to image and evaluate 3D uterine electrical activation patterns at high spatial and temporal resolution during human term labor. We demonstrate the successful integration of the human EMMI system during subjects’ clinical visits to generate noninvasively the uterine surface electrical potential maps, electrograms, and activation sequence through an inverse solution using up to 192 electrodes distributed around the abdomen surface. Quantitative indices, including the uterine activation curve, are developed and defined to characterize uterine surface contraction patterns. We thus show that the human EMMI system can provide detailed 3D images and quantification of uterine contractions as well as novel insights into the role of human uterine maturation during labor progression.
Suggested Citation
Hui Wang & Zichao Wen & Wenjie Wu & Zhexian Sun & Zulfia Kisrieva-Ware & Yiqi Lin & Sicheng Wang & Hansong Gao & Haonan Xu & Peinan Zhao & Qing Wang & George A. Macones & Alan L. Schwartz & Phillip Cu, 2023.
"Noninvasive electromyometrial imaging of human uterine maturation during term labor,"
Nature Communications, Nature, vol. 14(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36440-0
DOI: 10.1038/s41467-023-36440-0
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36440-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.