# Design and Development of Rehabi, a mHealth Telerehabilitation Platform with Markerless Motion Analysis

**Authors:** Arturo González-Mendoza, Hipólito Aguilar-Sierra, Rafael Zepeda-Mora, Aldo Alessi-Montero, Gerardo Rodríguez-Reyes, Lidia Núñez Carrera, Ivett Quiñones-Uriostegui, Paola Ayala-Cadena, Adriana Gomez-Verdad

PMC · DOI: 10.3390/bioengineering13030308 · Bioengineering · 2026-03-06

## TL;DR

Rehabi is a mobile telerehabilitation platform that uses markerless motion analysis to help patients with musculoskeletal disorders.

## Contribution

Rehabi introduces a user-centered, scalable mHealth platform integrating markerless motion analysis for remote rehabilitation.

## Key findings

- Pilot validation showed moderate agreement for hip flexion (ICC = 0.686) and good agreement for knee flexion (ICC = 0.801).
- The system was developed using Clean Architecture principles to ensure modularity and scalability.
- User-centered design methods were used to gather requirements from patients and clinicians.

## Abstract

Musculoskeletal disorders such as rheumatoid arthritis and osteoarthritis affect millions worldwide and are projected to rise sharply by 2050, highlighting the importance of scalable telerehabilitation. This paper introduces Rehabi, a mobile, user-friendly tele-rehabilitation platform that centrally integrates markerless motion for biomechanical assessment and monitoring. Rehabi development followed a user-centered methodology, combining questionnaires, interviews, and natural language processing to elicit requirements from patients and clinicians. The system architecture was implemented in accordance with Clean Architecture principles to ensure modularity and scalability. In a pilot clinical validation of the markerless motion algorithm integrated into Rehabi, 14 post-arthroplasty patients showed moderate agreement for hip flexion (ICC = 0.686) and good agreement for knee flexion (ICC = 0.801). Although the sample was small, the results show a promising trend suggesting that mobile markerless motion capture may be a viable option for remote assessment and monitoring.

## Linked entities

- **Diseases:** rheumatoid arthritis (MONDO:0008383), osteoarthritis (MONDO:0005178)

## Full-text entities

- **Diseases:** Musculoskeletal disorders (MESH:D009140), rheumatoid arthritis (MESH:D001172), osteoarthritis (MESH:D010003)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13024108/full.md

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13024108/full.md

## References

43 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024108/full.md

---
Source: https://tomesphere.com/paper/PMC13024108