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

ABSTRACT:

Background

Pelvic floor surface electromyography (sEMG) is widely used to evaluate and treat pelvic floor dysfunctions (PFDs). Based on sEMG, the Glazer protocol was developed over 20 years ago with a limited sample size, making it challenging to accurately diagnose PFDs across diverse populations and conditions. This study aims to establish a multidimensional database for monitoring pelvic floor sEMG, derive more reasonable reference ranges for sEMG parameters, and achieve accurate diagnosis of PFDs through artificial intelligence (AI).

Methods

In this population-based, multicenter, cross-sectional study, we recruited 1605 participants from 21 centres across China, collected pelvic floor sEMG data, and established a multidimensional sEMG database. Based on the database, we

SUBMITTER: Chen J 

PROVIDER: S-EPMC12205696 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature