High-density surface electromyographic assessment of pelvic floor hypertonicity in IC/BPS patients: a pilot study

Multi-Regional Pelvic Floor Muscle Function Diagnosis System Based on Inflatable Stretchable Electrode Array

BACKGROUND

Effective prevention and treatment of pelvic floor dysfunction (PFD) necessitates the identification of lesions within the complex pelvic floor muscle (PFM) groups associated with various symptoms. Here, we developed a multi-region pelvic floor muscle functional diagnosis system (MPDS) based on an inflatable stretchable electrode array, which aids in accurately locating areas related to PFD.

METHODS

Clinical diagnostic experiments were conducted on 56 patients with postpartum stress urinary incontinence (PSUI) and 73 postpartum asymptomatic controls. MPDS collects pelvic floor electromyography from all participants. By assessing EMG parameters such as activation time differences (ATD) and using Jensen-Shannon (JS) divergence to verify, with the aim of locating target muscle groups with functional abnormalities.

RESULTS

Clinical test results showed that by observing the AT sequence of the PSUI group and the control group, muscle groups with functional abnormalities in the Pubococcygeus muscle (PC) and Puborectalis muscle (PR) regions could be preliminarily diagnosed. In the assessment of regional muscle contribution values based on JS divergence, it was verified that the contribution values of rapid contraction in the PC and PR regions of the PSUI group were relatively lower compared to those of the control group, which correlated with urinary control dysfunction.

CONCLUSIONS

These experiments demonstrate that the MPDS helps in accurately locating target muscle groups with functional abnormalities, showcasing its potential in precise assessment of complex muscle groups such as PFM, which may improve diagnostic precision and reliability.

Risk factors and nomogram construction for predicting women with chronic pelvic pain:a cross-sectional population study

Background

Chronic pelvic pain (CPP) in women is a critical challenge. Due to the complex etiology and difficulties in diagnosis, it has a greatly negative impact on women's physical and mental health and the healthcare system. At present, there is still a lack of research on the related factors and predictive models of chronic pelvic pain in women. Our study aims to identify risk factors associated with chronic pelvic pain in women and develop a predictive nomogram specifically tailored to high-risk women with CPP.

Materials and methods

From May to October 2022, trained interviewers conducted face-to-face questionnaire surveys and pelvic floor surface electromyography assessments on women from community hospitals in Nanjing. We constructed a multivariate logistic regression-based predictive model using CPP-related factors to assess the risk of chronic pelvic pain and create a predictive nomogram. Both internal and external validations were conducted, affirming the model's performance through assessments of discrimination, calibration, and practical applicability using area under the curve, calibration plots, and decision curve analysis.

Results

1108 women were recruited in total (survey response rate:1108/1200), with 169 (15.3 %) being diagnosed as chronic pelvic pain. Factors contributing to CPP included weight, dysmenorrhea, sexual dysfunction, urinary incontinence, a history of pelvic inflammatory disease, and the surface electromyography value of post-baseline rest. In both the training and validation sets, the nomogram exhibited strong discrimination abilities with areas under the curve of 0.85 (95 % CI: 0.81-0.88) and 0.85 (95 % CI: 0.79-0.92), respectively. The examination of the decision curve and calibration plot showed that this model fit well and would be useful in clinical settings.

Conclusions

Weight, dysmenorrhea, sexual dysfunction, history of urinary incontinence and pelvic inflammatory disease, and surface electromyography value of post-baseline rest are independent predictors of chronic pelvic pain. The nomogram developed in this study serves as a valuable and straightforward tool for predicting chronic pelvic pain in women.

Changes in pelvic floor electrical activity and vulvar pain after botulinum toxin treatment of vestibulodynia: are clinical and electrophysiological outcomes related?. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023;2023:1-4. [PMID: 38082636 DOI: 10.1109/embc40787.2023.10340830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

Vestibulodynia is a gynecological condition with different treatment options available, including botulinum neurotoxin type A (BoNT/A) injections into the vulvar vestibule. Unlike other treatments, no studies have assessed changes in the myoelectrical activity of the pelvic floor muscles (PFM) after BoNT/A treatment. The aim of this study was thus to evaluate these changes and to correlate them with changes in vulvar pain sensitivity. To do this, 35 patients with vestibulodynia were recruited, the myoelectrical activity of their left and right PFM was recorded with surface electromyography (sEMG), and their vulvar pain sensitivity was monitored according to Visual Analogue Scale (VAS) and an algometer, both before and after BoNT/A treatment. According to our results, patients' signals during PFM relaxation showed a significantly higher power than those of healthy women at baseline, as shown by their root mean square values (RMS), but became similar at follow-up. Patients' mean vulvar pain VAS scores significantly decreased after treatment. Furthermore, baseline-to-follow-up differences of RMS at PFM rest vs. mean VAS were significantly correlated (CC=0.48, p<0.01) so that higher reductions in the PFM activity power were associated with higher decreases in vulvar pain.Clinical Relevance- Altered PFM electrophysiological condition of patients with vestibulodynia becomes similar to healthy women's after BoNT/A treatment. This study also points to a relationship between the evolution of clinical and PFM electrophysiological conditions.

Image Segmentation for High-Density Surface Electromyography Mappings of Pelvic Floor Muscle Activity of Women with Interstitial Cystitis/Bladder Pain Syndrome

Interstitial cystitis/bladder pain syndrome (IC/BPS) can result in pelvic floor muscle (PFM) overactivity. Current clinical assessment protocols include basic electromyographic assessment of PFM activation; however, they do not provide a comprehensive assessment localized to each region of the PFM. We examined the ability of high-definition features from intravaginal high-density surface electromyography (HD-sEMG) to assess the severity of PFM overactivity in female IC/BPS patients. HD-sEMG was collected from fifteen female IC/BPS patients and fifteen urologically healthy female controls. The 2D mappings of root mean squared amplitude (RMS) at rest normalized by maximal voluntary contraction (resting RMS ratios) were segmented via k-means to identify areas of peak activity and surrounding activity. Female IC/BPS patients exhibited significantly greater resting RMS ratios for peak activity (p=0.0096), surrounding activity (p=0.0003), and average activity (p=0.0016) compared to healthy female controls. Furthermore, the area of peak activity was significantly larger for female IC/BPS patients than for healthy female controls (p=0.0063). Image segmentation of intravaginal HD-sEMG provides a more robust biomarker of PFM as compared to current methods.