AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosis

This study was supported by grants from the National Key R&D Program of China: The Establishment of a Comprehensive Network for PFD Prevention, Rehabilitation, Pelvic Floor Surgery and Related Complications (2021YFC2701300), Perception and Analysis of the Situation of Major Infectious Disease Outbreaks Based on Internet Big Data (2021ZD0111202), Research on New Models for Forecasting Major Infectious Diseases and Policy Evaluation (2021ZD0111205); Beijing Natural Science Foundation (7212073), National High-Level Hospital Clinical Research Funding (2022-PUMCH-B-087) and the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M- C&T-B- 021).

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Publication Details

Journal
EBioMedicine
Published
2025-06-06
DOI
https://doi.org/10.1016/j.ebiom.2025.105755
Citations
2
Primary Topic
Pelvic floor disorders treatments
Type
article
Field-Weighted Citation Impact
3.34

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article

AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosis

Shuxia Zhang, Li He, Jin Cen, Heyuan Wang et al.
2 citations
EBioMedicine
Pelvic floor disorders treatments
3.34
article

AI-based pelvic floor surface electromyography reference ranges and high-precision pelvic floor dysfunction diagnosis

Shuxia Zhang, Li He, Jin Cen, Heyuan Wang, Qin Liu, Xue‐Feng Yu, Caibin Zhao, Allègre Ge, Lan Zhu, Hongmei Zhou, Juan Chen, Tingting Fu, Zimu Fu, Bo Jiang, Zhengxian Xu, Wei Chen, Dan Li, Feng Zhang, Cong Jin, Lei Chu, Linyi Wei, Liu Huang, Dongmei Yao, Xiao‐Ying Xu, Jiahui Yao, Huan Ge, Tengjiao Wang
article en
2 citations

Abstract

This study was supported by grants from the National Key R&D Program of China: The Establishment of a Comprehensive Network for PFD Prevention, Rehabilitation, Pelvic Floor Surgery and Related Complications (2021YFC2701300), Perception and Analysis of the Situation of Major Infectious Disease Outbreaks Based on Internet Big Data (2021ZD0111202), Research on New Models for Forecasting Major Infectious Diseases and Policy Evaluation (2021ZD0111205); Beijing Natural Science Foundation (7212073), National High-Level Hospital Clinical Research Funding (2022-PUMCH-B-087) and the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (2021-I2M- C&T-B- 021).

EBioMedicineVol. 117
Qingdao University (CN), King University (US), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking Union Medical College Hospital (CN), Qinghai University Affiliated Hospital (CN), Chengdu Women's and Children's Central Hospital (CN), Qinzhou Maternity and Child Health Care Hospital (CN), Foshan Maternity and Child Health Care Hospital (CN), Guangzhou Women and Children Medical Center (CN), Shaoxing City Women and Children Hospital (CN), International Peace Maternity & Child Health Hospital (CN), Guangxi Zhuang Autonomous Region Health and Family Planning (CN), Gansu Provincial Maternal and Child Health Hospital (CN), Hubei Provincial Women and Children's Hospital (CN), Second Hospital of Tianjin Medical University (CN), Ninghai County First Hospital (CN), Lishui Maternity and Child Health Care Hospital (CN), Xi’an Children’s Hospital (CN), Hunan Provincial People's Hospital (CN), Jiangsu Province Hospital (CN), Weifang Maternity and Child Care Hospital (CN), Ningbo No.6 Hospital (CN), Qingdao Women and Children's Hospital (CN), Tianjin Medical University (CN), Guangzhou Medical University (CN)
Natural Science Foundation of Beijing Municipality, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, National Key Research and Development Program of China
Openalex Percentile: Top 8%
Pelvic floor disorders treatments
3.34
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