Ms. Miyako Muta, RN, PHN, in department of gerontological nursing/wound care management
In this study, supervised ML was performed using bladder videos obtained from women’s self-performed US in order to develop an algorithm for automatic evaluation of PFM contractions. The results showed that the algorithm could automatically classify PFM contractions with a high performance of 0.73 accuracy and 0.91 AUC. The results of this study suggest a new biofeedback method for women requiring PFMT.
Access the full paper here: https://pubmed.ncbi.nlm.nih.gov/39876615/