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Development and Implementation of a Remote Monitoring and Feedback System for Female Pelvic Floor Rehabilitation Training Based on Artificial Intelligence
Sponsor: Peking Union Medical College Hospital
Summary
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.
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
96
Start Date
2025-10-19
Completion Date
2026-03-29
Last Updated
2026-07-13
Healthy Volunteers
Yes
Conditions
Interventions
a remote monitoring and feedback system for female pelvic floor rehabilitation training based on artificial intelligence
The researchers assisted the participants in downloading the user-side APP, and provided and instructed them on the use of the home-based pelvic floor rehabilitation device. On the healthcare provider side, remote monitoring of the participants' compliance with pelvic floor muscle training was conducted, and compensatory errors were corrected individually. The training regimen was intelligently adjusted based on real-time data, and the participants completed daily check-ins and questionnaire assessments via the APP.
Locations (1)
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences
Beijing, Beijing Municipality, China