ClinicalTrials.gov
public full text
Public Domain
Ultrasound and Electromyography Biofeedback for Pelvic Floor Muscle Training
This study aims to investigate the factors influencing adherence to pelvic floor muscle training (PFMT) devices among patients with pelvic floor dysfunction (PFD) through structured questionnaires, while simultaneously comparing the effectiveness of different feedback modalities, including non-invasive ultrasound imaging and invasive manometry with electromyography (EMG). By integrating subjective adherence data with objective performance outcomes, the project seeks to evaluate the potential of system-level integration for personalized therapeutic strategies, ultimately enhancing treatment efficacy, improving patient satisfaction, and promoting sustained engagement in PFMT.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Fibromyalgia TENS in Physical Therapy Study (TIPS): an Embedded Pragmatic Clinical Trial#1087584
- Adherence to Exercises for Low Back Pain.#1045889
- The Intermediate and Long-term Follow up of Home Based Pelvic Muscle Training#1127475
- Three Month Automated Messaging Intervention#1112517
- Addressing Kinesiophobia in Post-Meniscoplasty Patients Through Progressive Muscle Relaxation Training and Acupressure#860861
Record · ID 851358
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive