Descrição: The amputation of the upper limb is a traumatic event that can have severe implications on the life of the patient. Prosthetic devices have been created with the purpose of restoring some of lost functionality and attempting to return a degree of normality to the patient's life. Unfortunately, replicating the fine skills present in hand movements is very challenging. This often leads to the development of devices that fall short in terms of functional capability, often leaving the user unsatisfied with their device. For this reason, abandonment rates for upper-limb prostheses remain high at 23% for myoelectric devices, and 26% for body-powered devices. Motor rehabilitation methods have been shown to contribute greatly to the patients' ability to utilize their prostheses and maximize its functionality. Technological advances, such as X-Reality platform, have contributed in this regard but offering patients the opportunity to adapt to using the device in a controlled environment and without with physical and mental burden associated with using the prosthesis. Reserarch has largely focused so far on advancing the control modality present in X-Reality systems, and to date, the use of X-Reality platforms in clinical rehabilitation of upper limb prosthetics remains limited. In this project, we aim to fill this gap by developing a fully comprehensive immersive virtual rehabilitation platform for clinical and remote training. The system will include sensory feedback to increase engagement during training. It will also include evaluation methods that allow therapists to measure progress over time. After development, we will test the platform on a large sample size of amputees and launch a longitudinal study to determine the users' attitude towards the platform and their prostheses over time. By doing this, we hope to offer patients the ability to increase functional use of their prosthesis and reduce device abandonment..
Situação: Em andamento; Natureza: Pesquisa.
Alunos envolvidos: Graduação: (2) / Especialização: (0) / Mestrado acadêmico: (2) / Mestrado profissional: (0) / Doutorado: (2) .

ICT Executora: Universidade Federal de Uberlândia, Faculdade de Engenharia Elétrica, Programa de Pós-graduação em Engenharia Elétrica (PPGEELT)
ICT Parceira: Qatar University (https://www.qu.edu.qa/sites/)
Integrantes: John-John Cabibihan - Integrante / Aya Gaballa - Integrante / Mohammed Sharafudeen Ajimsha - Integrante)

Artigos publicados:
A. Gaballa, R. S. Cavalcante, E. Lamounier, A. Soares and J. -J. Cabibihan, "Extended Reality “X-Reality” for Prosthesis Training of Upper-Limb Amputees: A Review on Current and Future Clinical Potential," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 1652-1663, 2022, doi: 10.1109/TNSRE.2022.3179327.

Moraes, Í.A., Cardoso, A., Soares, A.B. et al. Combining immersive virtual reality and postural therapy for scoliosis treatment and prevention in children. Res. Biomed. Eng. 38, 1003–1016 (2022). https://doi.org/10.1007/s42600-022-00235-x

Uso de Sensores Inerciais para Detecção de Movimentos na Reabilitação de Membros Superiores - Pedro de Paula Janini, Letícia Marques Pinho Tiago, Ana Carolina Coelho Robl, Gabriel Fernandes Cyrino, Edgard Afonso Lamounier Jr e Alcimar Barbosa Soares. DOI: 10.47573/XIIISEB.79

Capítulos de livro publicados:
Cavalcante, R., Gaballa, A., Cabibihan, JJ., Soares, A., Lamounier, E. (2021). A VR-Based Serious Game Associated to EMG Signal Processing and Sensory Feedback for Upper Limb Prosthesis Training. In: Baalsrud Hauge, J., C. S. Cardoso, J., Roque, L., Gonzalez-Calero, P.A. (eds) Entertainment Computing – ICEC 2021. ICEC 2021. Lecture Notes in Computer Science(), vol 13056. Springer, Cham. https://doi.org/10.1007/978-3-030-89394-1_36