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

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

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07697508
Enrollment
96
Registered
2026-07-13
Start date
2025-10-19
Completion date
2026-03-29
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pelvic Floor Rehabilitation Training

Brief 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.

Interventions

BEHAVIORALa 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.

Sponsors

Peking Union Medical College Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Age ≥ 18 years; * Women who underwent pelvic floor screening at our hospital's Pelvic Floor Center at 6-8 weeks postpartum; * Have normal cognitive ability and are able to use mobile apps or other means to access information; * Voluntarily participate in the study and sign the informed consent form.

Exclusion criteria

* Women with contraindications to pelvic floor muscle training (e.g., vaginal or rectal bleeding, etc.); * Those with psychiatric disorders that preclude cooperation with this study; * Those who have difficulty adhering to follow-up visits.

Design outcomes

Primary

MeasureTime frameDescription
Pelvic Floor Muscle ContractilityBaseline, 6 weeks post-intervention, and 12 weeks post-interventionPelvic floor muscle strength

Secondary

MeasureTime frameDescription
Type I and Type II pelvic floor muscle fiber strengthBaseline, 6 weeks post-intervention, and 12 weeks post-interventionPhysiological indicators of pelvic floor muscle pressure were assessed using a pelvic floor muscle pressure measurement device. The parameters included: (1) Type I muscle fiber strength and fatigue - representing slow-twitch fibers responsible for sustained resting tone and endurance; (2) Type II muscle fiber strength and fatigue - representing fast-twitch fibers responsible for rapid, forceful contractions; and (3) maximum vaginal contraction pressure - reflecting the overall maximal voluntary contraction capacity of the pelvic floor muscles.
Pelvic Floor Distress Inventory (PFDI-20) scoreBaseline, 6 weeks post-intervention, and 12 weeks post-interventionPelvic floor dysfunction-related symptoms were assessed using the Pelvic Floor Distress Inventory-20 (PFDI-20). The total score ranges from 0 to 300, with higher scores indicating greater symptom distress and more severe pelvic floor dysfunction.
Quality of life scoreBaseline, 6 weeks post-intervention, and 12 weeks post-interventionQuality of life was assessed using the Incontinence Impact Questionnaire-7 (IIQ-7). The total score ranges from 0 to 100, with higher scores indicating a greater negative impact of urinary incontinence on daily activities, emotional well-being, and social functioning, reflecting poorer quality of life.
Adherence to pelvic floor muscle trainingBaseline, 6 weeks post-intervention, and 12 weeks post-interventionAdherence to pelvic floor muscle training (PFMT) was monitored and recorded through the mobile APP. Adherence was defined as the percentage of prescribed training sessions actually completed over the 12-week intervention period. Participants were conside

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 14, 2026