Project Publications
Lucas, S., Portillo, E. Methodology based on spiking neural networks for univariate time-series forecasting, Neural Networks,
vol. 173, No. 106171, pp. 1-22, 2024. JCR Impact Factor: 7.8 (2024). Quartile: Q1.
https://doi.org/10.1016/j.neunet.2024.106171
Vermander, P., Perez, N., Mancisidor, A., Cabanes, I., Torres, J. A sitting posture monitoring system in wheelchair users, Springer Book: Activity Recognition and Prediction for Smart IoT Environments. ,
pp. 1-19, Springer, 2024.
https://doi.org/10.1007/978-3-030-70316-5_14
Perez, N., Mancisidor, A., Cabanes, I., Vermander, P., González, J. Continuous postural and movement monitoring system for wheelchair users assessment, Measurement,
vol. 115179, pp. 30 páginas, 2024. JCR Impact Factor: 5,2 (2024). Quartile: Q1.
https://doi.org/10.1016/j.measurement.2024.115179
Vermander, P., Mancisidor, A., Cabanes, I., Perez, N. Intelligent systems for sitting posture monitoring and anomaly detection: an overview, Journal of NeuroEngineering and Rehabilitation,
vol. 21:28 , pp. 26 pags, 2024. JCR Impact Factor: 5,2 (2023). Quartile: Q1.
https://doi.org/10.1186/s12984-024-01322-z
Vermander, P., Mancisidor, A., Gravina, R., Cabanes, I., Fortino, G. Intelligent sitting postural anomaly detection system for wheelchair users with unsupervised techniques, Digital Communications and Networks,
vol. Special Issue on Deep Learning for Cognitive Healthcare, pp. 12, 2024. JCR Impact Factor: 7.5 (2023). Quartile: Q1.
https://doi.org/10.1016/j.dcan.2024.05.006
Vermander, P., Mancisidor, A., Cabanes, I., Perez, N., Torres, J. Intelligent sitting posture classifier for wheelchair users, IEEE in Transactions on Neural Systems Rehabilitation Engineering,
vol. 31, pp. 944-953, 2023. JCR Impact Factor: 4.8 (2023). Quartile: Q1.
https://doi.org/10.1109/TNSRE.2023.3236692
Zubizarreta, A., Cabanes, I., Portillo, E., Mancisidor, A., Brull, A., Vermander, P., Lucas, S., Perez, N., Otamendi, J. Herramientas inteligentes para la monitorización y el diagnóstico funcional en personas que usan dispositivos de asistencia, Inteligencia Artificial y Sistemas Cognitivos. Aplicaciones de IA en el ámbito Biomédico,
pp. 1-31, UNIDIGITAL_IASAC , 2023.
http://unidigitaliasac.unizar.es/ficha/herramientas-inteligentes-para-monitorizacion-y-diagnostico-funcional-en-personas
Otamendi, J., Zubizarreta, A., Portillo, E. Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach, Neural Computing and Applications,
pp. 1-17, 2023. JCR Impact Factor: 6.0 (2022). Quartile: Q2.
https://doi.org/10.1007/s00521-023-08601-1
Vermander, P., Mancisidor, A., Fortino, G., Cabanes, I., Gravina, R. Unsupervised learning-based for detection of postural anomalies in wheelchair users, 2023 IEEE International Conference on Systems, Man and Cybernetics (SMC), Honolulu, Oahu HI, USA, 2023.
10.1109/SMC53992.2023.10394563
Rodriguez, A., Zubizarreta, A., Cabanes, I., Brull, A., Sesar, I., Torres, J., Portillo, E., Espin, A., Santisteban, L. Dispositivo Sensor para monitorizar la marcha, Application number: P202130682 (patent pending)
16/07/2021.
Vermander, P., Perez, N., Otamendi, J., Brull, A., Mancisidor, A., Cabanes, I. Análisis del número de sensores para la clasificación postural en sedestación, XLIII Jornadas de Automática, Logroño, 2022.
ISBN: 978-84-9749-841-8.
https://doi.org/10.17979/spudc.9788497498418.0171