Articles
AI-Based Pelvic Floor Surface Electromyography Reference Ranges and High-Precision Pelvic Floor Dysfunction Diagnosis
This study aims to improve pelvic floor sEMG diagnosis of PFDs using a new database for better reference ranges and AI.
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).
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