Scientific research generates a tangible impact also through dissemination within the global academic community. For the VISIONARY project consortium, the publication of results does not represent the mere conclusion of an experimental workflow, but rather a fundamental act of institutional responsibility and collective progress. Making methodologies, algorithms, and data accessible accelerates innovation in the field of neurorehabilitation, transforming the team’s outcomes into a shared and reproducible scientific heritage. In accordance with this vision, the publication details and direct links for the full consultation of the works are provided below.
Pierella, C., Rizzoglio, F., Inglese, M., Casadio, M. (2025). Testing Linear or Non Linear Mapping Algorithms for a Hybrid Body-Machine Interface That Combines Movement and Muscle Signals. In: Pons, J.L., Tornero, J., Akay, M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation V. ICNR 2024. Biosystems & Biorobotics, vol 31. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-77588-8_68
Sedda G., Olla G., Pani D. (2025). Nonlinear error augmentation applied to upper limb movements enhances motor learning. Annu Int Conf IEEE Eng Med Biol Soc. 2025 Jul;2025:1-5. DOI: 10.1109/EMBC58623.2025.11253401. PMID: 41336561. PubMed: https://pubmed.ncbi.nlm.nih.gov/41336561/
Sedda, G., Ariu, E., Melis, R., Vacca, J., Lai, M.E., Pili, G., Caruso, M., Balta, D., Coduri, M., Pierella, C., Lutzoni, L., Casadio, M., Cereatti, A., Pani, D. (2025). EMG-based visual biofeedback applied to upper limb motor tasks in virtual environment. Gait & Posture, Volume 122, Supplement, 109944.49, ISSN 0966-6362. DOI: https://doi.org/10.1016/j.gaitpost.2025.08.051. ScienceDirect: https://www.sciencedirect.com/science/article/pii/S0966636225006484
Caruso, M. et al. (2025). Minimizing wearables, maximizing insight: fusing complementary strength of IMUs and RGB-D for upper body kinematics in home rehabilitation. Proc. XXV Congresso Nazionale SIAMOC, Cagliari, Italy, Oct. 1–4, 2025, p. 156. Proceedings: https://amsacta.unibo.it/id/eprint/8533/1/Proceedings_SIAMOC_2025.pdf
D. Balta et al., “Development and validation of a markerless protocol based on a single RGB-D camera, leveraging an AI-based pose estimator and parametric statistical models of the human body,” in Proc. XXX Congress of the International Society of Biomechanics, Stockholm, Sweden, 27-31 July, 2025