Design of an Electronic Cane and Advanced Clinical Procedure for Continuous Gait Rehabilitation Monitoring

Barriga J.A.; Vilcahuaman L.; Aldana A.C. · IFMBE Proceedings (2026) · DOI: 10.1007/978-3-032-20291-8_32

Resumen

This study presents the development and validation of a mobile application for screening gait abnormalities in apparently healthy individuals. The goal is to provide quantitative data on joint positions, angles, torques, velocities, and accelerations of the hip, knee, and ankle in the sagittal plane, aiding in the early detection of gait disorders. The mobile application was developed using a client-server architecture, incorporating a FastAPI backend and Xamarin Forms interface. MySQL was used for data storage. Gait analysis was performed using the MediaPipe pose estimation model. For validation, a healthy individual was filmed from the sagittal plane, and data were compared to reference values from the literature and Kinovea software. The application demonstrated a reasonable agreement with traditional gait analysis methods. The angles for the hip, knee, and ankle showed discrepancies of 12.48°, 8.22°, and 18.06°, respectively, when compared to literature data. The application was also capable of effectively identifying angular velocities and accelerations, with results aligning with existing research. The developed mobile application proves to be a cost-effective and accessible tool for the early diagnosis of gait abnormalities. Despite limitations, such as the sample size and focus on a single plane of movement, this study lays the foundation for future research and practical applications in gait evaluation, particularly in resource-limited communities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Instituciones: Pontificia Universidad Católica del Perú