Research and Development

Research and development is crucial for Adapttech. Through R&D we can identify new and innovative ways to improve prosthetic devices, making them more comfortable, efficient, and effective. This includes developing new technologies, improving the design of prosthetic components, and testing new outcome measures that can help clinicians and patients monitor progress and measure success.

Publications

Antunes, I., Assis, A., Castro, M., & Carvalho, V. (2023). Assessing Lower-Limb Prosthetic Users’ Activity Levels: A Comparison and Real-World Measures. 2023 AOPA Supplement. Journal of Rehabilitation and Assistive Technologies Engineering, 10, 8-9.

Castro, M., Carvalho, V., & Antunes, I. (2023). Technology-based Assessment of Transtibial Prosthesis User’s Functionality and Comparison with Traditional Methods – A Case Study. 2023 AOPA Supplement. Journal of Rehabilitation and Assistive Technologies Engineering, 10, 59-60.

Rolo dos Santos, B., & Carvalho, V. (2022). Patient Outcomes and Mental Health - Poster Presentation. AOPA 2022, San Antonio, Texas.

Delgado, C., Assis, S., Carvalho, V., & Lopes, D. (2022). Optimizing Socket Comfort and Prosthetic Alignment utilizing Portable Socket Pressure-sensing Technology - Digital Presentation. AOPA 2022, San Antonio, Texas.

Delgado, C., & Koykas, D. (2022). Best Practices for Evaluating Lower Limb Prosthetic Users in a Physical Therapy Clinic - Symposia. AOPA 2022, San Antonio, Texas.

Costa, A., Rodrigues, D., Castro, M., Assis, S., & Oliveira, H. P. (2021). Embedding Anatomical Characteristics in 3D Models of Lower-limb Sockets through Statistical Shape Modelling. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP, 528–535.

Costa, A., Rodrigues, D., Castro, M., Assis, S., & Oliveira, H. P. (2022). The effect of augmentation and transfer learning on the modelling of lower-limb sockets using 3D adversarial autoencoders. Displays, 74, 102190.

Want to use our technology for research? Get in touch with us.