Development and Implementation of a Remote Monitoring and Feedback System for Female Pelvic Floor Rehabilitation Training Based on Artificial Intelligence

Pelvic Floor Rehabilitation Training Prescription Label: An individualized training prescription generated by aggregating a comprehensive profile of maternal information through AI and applying data deep-mining algorithms, aiming to deliver targeted and precise interventions for mothers at different behavioral stages.PFMT Error-Correction Feedback Program: A program that identifies abnormal pelvic floor muscle contractions in mothers by and analyzing electromyographic (EMG) signals from the abdominal muscles, gluteal muscles, and other muscle groups, and develops an error-correction program with text, visual, and audio prompts. Maternal Mobile APP: A system developed with functions including self-management, health education, nurse-patient communication, and remote monitoring. Preliminary Clinical Application: A randomized controlled trial (RCT) will be conducted in women at 6-8 weeks postpartum using the remote monitoring and feedback system for pelvic floor rehabilitation training. The clinical application effects will be evaluated to achieve full-process assessability, guidance, and supervision of postpartum PFMT, thereby improving maternal participation, compliance, and correctness in PFMT.