Tesis Telecomunicaciones

Permanent URI for this collectionhttp://repositorio.uta.edu.ec/handle/123456789/34848

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    Plataforma de realidad virtual para la rehabilitación de lesiones músculo – esqueléticas y respiratorias: un estudio piloto en un entorno clínico
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones., 2026-07-03) Eugenio Arias, María Belén; Manzano Villafuerte, Víctor Santiago; Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas Electrónica e Industrial. Carrera de Telecomunicaciones.
    REALIDAD VIRTUAL, REHABILITACIÓN MÚSCULO-ESQUELÉTICA, REHABILITACIÓN RESPIRATORIA, SENSOR INERCIAL, VISIÓN COMPUTACIONAL, GAMIFICACIÓN, ADULTOS MAYORES. This research addressed the development and validation of a virtual reality (VR)platform for the rehabilitation of musculoskeletal and respiratory conditions in older adults, implemented as a pilot study at the Universidad Técnica de Ambato. Conventional rehabilitation programs show low adherence due to their repetitive nature, limited feedback, and access barriers for patients with reduced mobility. To address this, the system integrates immersive VR environments with gamification and real-time physiological monitoring. Developed in Unity 6 for the Meta Quest 3 headset, the platform includes three threedimensional scenarios modeled in Blender where patients perform exercises guided by a virtual avatar. The respiratory module RespMon uses an MPU6050 sensor mounted on a diaphragmatic band with an ESP32-C3 microcontroller, transmitting via BLE the inhalation and exhalation times, I:E ratio, and apnea events. The musculoskeletal module ROMAnalyzer applies computer vision with MediaPipe Pose to estimate joint angles of the upper and lower limbs using a mobile device camera. Validation with twenty older adult patients and three rehabilitation specialists confirmed the clinical viability of the system. RespMon recorded an average respiratory rate of 13.6 rpm within the expected physiological range and an approximate battery life of 3 hours per charge. ROMAnalyzer detected joint asymmetries of up to 46.60° in shoulder flexion and 43.28° in elbow flexion, values consistent with individual diagnoses. Patient satisfaction reached 4.48/5 and specialist assessment 4.75/5, supporting the platform as a functional, motivating, and scalable therapeutic tool for older adult rehabilitation.