SALIS, FRANCESCA

SALIS, FRANCESCA  

Dipartimento di Elettronica e Telecomunicazioni  

045355  

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Risultati 1 - 12 di 12 (tempo di esecuzione: 0.016 secondi).
Citazione Data di pubblicazione Autori File
Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning / Brasiliano, P., Orejel-Bustos, A.S., Belluscio, V., Cereatti, A., Della Croce, U., Trabassi, D., Salis, F., Tramontano, M., Buzzi, M.G., Vannozzi, G., Bergamini, E.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 16:1(2026). [10.1038/s41598-026-43666-7] 1-gen-2026 Cereatti, AndreaSalis, FrancescaTramontano, Marco + Brasiliano et al_2026.pdf
Automated Multicohort Mobility Assessment With an Instrumented L-Test (iL-test) / Albites-Sanabria, J., Palumbo, P., D'Ascanio, I., Bonci, T., Caruso, M., Salis, F., Cereatti, A., Del Din, S., Alcock, L., Kuederle, A., Paraschiv-Ionescu, A., Gazit, E., Kluge, F., Kirk, C., Encarna Micó-Amigo, M., Scott, K., Hansen, C., Klenk, J., Schwickert, L., Megaritis, D., et al.. - In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. - ISSN 1534-4320. - 33:(2025), pp. 717-727. [10.1109/TNSRE.2025.3531723] 1-gen-2025 Marco CarusoFrancesca SalisAndrea Cereatti + Automated_Multicohort_Mobility_Assessment_With_an_Instrumented_L-Test_iL-test.pdf
Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor / Tasca, P., Salis, F., Rosati, S., Balestra, G., Mazza, C., Cereatti, A.. - In: IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. - ISSN 1534-4320. - ELETTRONICO. - 33:(2025), pp. 858-867. [10.1109/TNSRE.2025.3542568] 1-gen-2025 Tasca P.Salis F.Rosati S.Balestra G.Mazza C.Cereatti A. 2025_Estimating_Gait_Speed_in_the_Real_World_With_a_Head-Worn_Inertial_Sensor.pdf
The influence of training data quantity on CNN-LSTM generalization in gait laterality detection / Tasca, P., Salis, F., Cereatti, A.. - In: GAIT & POSTURE. - ISSN 0966-6362. - ELETTRONICO. - 122:(2025). (XXV Congresso SIAMOC 2025 Cagliari (Ita) 1-4 Ottobre 2025) [10.1016/j.gaitpost.2025.08.019]. 1-gen-2025 Tasca, P.Salis, F.Cereatti, A. Tasca et al. - 2025 - The influence of training data quantity on CNN-LSTM generalization in gait laterality detection.pdf
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device / Kirk, C., Küderle, A., Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A., Caruso, M., Caulfield, B., Cereatti, A., et al.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 14:1(2024). [10.1038/s41598-024-51766-5] 1-gen-2024 Salis, FrancescaBertuletti, StefanoCaruso, MarcoCereatti, Andrea + Kirk et al_2024.pdf
Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study / Kluge, F., Brand, Y.E., Encarna Micó-Amigo, M., Bertuletti, S., D'Ascanio, I., Gazit, E., Bonci, T., Kirk, C., Küderle, A., Palmerini, L., Paraschiv-Ionescu, A., Salis, F., Soltani, A., Ullrich, M., Alcock, L., Aminian, K., Becker, C., Brown, P., Buekers, J., Carsin, A., et al.. - In: JMIR FORMATIVE RESEARCH. - ISSN 2561-326X. - ELETTRONICO. - 8:(2024). [10.2196/50035] 1-gen-2024 Stefano BertulettiFrancesca SalisMarco CarusoAndrea Cereatti + kluge_et_al_JMIR_2024.pdf
Real-world gait detection with a head-worn inertial unit and features-based machine learning / Tasca, P., Salis, F., Cereatti, A.. - In: GAIT & POSTURE. - ISSN 0966-6362. - ELETTRONICO. - 114:(2024). (XXIV Congresso SIAMOC 2024 Stresa (Ita) 2-5 Ottobre 2024) [10.1016/J.GAITPOST.2024.08.068]. 1-gen-2024 Tasca, P.Salis, F.Cereatti, A. 1-s2.0-S0966636224005861-main.pdf
A machine learning-based pipeline for stride speed estimation with a head-worn inertial sensor / Tasca, P., Salis, F., Rosati, S., Balestra, G., Cereatti, A.. - In: GAIT & POSTURE. - ISSN 0966-6362. - 105:(2023), pp. 54-54. (XXIII Congresso SIAMOC 2023 Roma (Ita) 4-7 Ottobre 2023) [10.1016/J.GAITPOST.2023.07.341]. 1-gen-2023 P. TascaF. SalisS. RosatiG. BalestraA. Cereatti 1-s2.0-S0966636223013693-main.pdf
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions / Salis, F., Bertuletti, S., Bonci, T., Caruso, M., Scott, K., Alcock, L., Buckley, E., Gazit, E., Hansen, C., Schwickert, L., Aminian, K., Becker, C., Brown, P., Carsin, A., Caulfield, B., Chiari, L., D'Ascanio, I., Del Din, S., Eskofier, B.M., Garcia-Aymerich, J., et al.. - In: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY. - ISSN 2296-4185. - ELETTRONICO. - 11:(2023). [10.3389/fbioe.2023.1143248] 1-gen-2023 Francesca SalisStefano BertulettiMarco CarusoLorenzo ChiariAndrea Cereatti + Salis 2023 a multi sensor wearable system for the assessment of diseased gait in real world conditions.pdf
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium / Micó-Amigo, M.E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A., Caruso, M., Caulfield, B., Cereatti, A., et al.. - In: JOURNAL OF NEUROENGINEERING AND REHABILITATION. - ISSN 1743-0003. - ELETTRONICO. - 20:1(2023), p. 78. [10.1186/s12984-023-01198-5] 1-gen-2023 Salis, FrancescaBertuletti, StefanoCaruso, MarcoCereatti, Andrea + migo-amigo et al 2023 assenssing real-world gait.pdf
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases / Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A., Caruso, M., Caulfield, B., Chiari, L., D( extquotesingle)Ascanio, I., Del Din, S., et al.. - In: FRONTIERS IN NEUROLOGY. - ISSN 1664-2295. - ELETTRONICO. - 14:(2023). [10.3389/fneur.2023.1247532] 1-gen-2023 Francesca SalisAndrea CereattiStefano BertulettiMarco Caruso + Romijnders Caruso 2023 Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.pdf
A novel multi-sensor system for gait assessment in real-world conditions: preliminary results / Salis, F., Bertuletti, S., Caruso, M., Bonci, T., Scott, K., Rossanigo, R., Croce, U.D., Mazza, C., Cereatti, A.. - (2020), pp. 472-475. (7th National Congress of Bioengineering, GNB 2020 Trieste 2020). 1-gen-2020 Salis F.Bertuletti S.Caruso M.Rossanigo R.Cereatti A. + GNB2020_paper_126.pdf