Bladder Dysfunction Diagnosis Using Surface EMG: A Novel Approach with Convolution-Based Signal Processing and Bladder Vector Hypothesis

– Bladder dysfunctions, including overactive bladder (OAB), detrusor underactivity (DU), and neurogenic bladder disorders, require precise diagnostic methods for effective treatment. Traditional urodynamic studies (UDS) rely on invasive catheterization to measure bladder pressure, which is uncomfortable and unsuitable for long-term monitoring. This study proposes surface electromyography (sEMG) as a non-invasive alternative to assess bladder function by recording detrusor muscle activity from the lower abdomen and pelvic floor. To enhance signal quality, adaptive filtering techniques and convolution-based signal processing are employed, effectively reducing noise and artifacts. Additionally, a novel Bladder Vector Hypothesis is introduced, inspired by ECG vector recording, to analyze multi-electrode spatial contraction patterns for improved diagnostics. This approach has the potential to enable non-invasive, real-time urodynamic assessments, revolutionizing the diagnosis of bladder dysfunctions.