PUBLICACIONES IBERUS

Alemany, S., Remon, A., Ballester, A., Vicente Durá, J., Nácher, B., Parrilla, E., & Carlos González, J. (2022). Data management and processing of 3D body scans. In N. Zakaria (Ed.), Digital Manufacturing Technology for Sustainable Anthropometric Apparel (pp. 97–116). Woodhead Publishing. https://doi.org/10.1016/B978-0-12-823969-8.00007-1

Arandia, N., Garate, J. I., & Mabe, J. (2023). Medical Devices with Embedded Sensor Systems: Design and Development Methodology for Start-Ups. Sensors (Basel, Switzerland), 23(5), 2578. https://doi.org/10.3390/s23052578

Arce-Bernal, F., Tomas-Chenoll, J., Vivas-Consuelo, D., Íñigo-Huarte, V., Renovell-Ferrer, P., & Peris, J.L. (2021). Analysis of the evolution of functional biomechanical parameters and patient-reported outcome measures in total knee arthroplasty. In: Value in Health, 25, S20. doi:10.1016/j.jval.2021.11.086

Ballester, A., Parrilla, E., Ruescas, A., Uriel, J., & Alemany, S. (2021). To MOVE4D, or not to Move, that is the Question, in: Proceedings of 3DBODY.TECH 2021 – 12th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies. 3DBODY.TECH Conference, Lugano, Switzerland. http://www.3dbody.tech/cap/abstracts/2021/2148ballester.html

Ballester, A., Wrigth, W., Valero, J., Scott, E., Devlin, T., Bullas, A., Silva, J., & McDonald, C. (2022). Dataset of the IEEE IC 3DBP Comparative Analysis of Anthropometric Methods. IEEEDataPort. https://doi.org/10.21227/2akb-0v63

Campomanes-Álvarez, C., Campomanes-Álvarez, B.R., & Quirós, P. (2020). Person Identification System in a Platform for Enabling Interaction with Individuals Affected by Profound and Multiple Learning Disabilities. International Journal of Software Scienceand Computational Intelligence, 12(1), 30-46.

De Rosario, H., Pitarch-Corresa, S., Pedrosa, I., Vidal-Pedrós, M., Otto-López, B. de, García-Mieres, H., & Álvarez-Rodríguez, L. (2023). Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review. JMIR Medical Informatics, 11(1), e48693. https://doi.org/10.2196/48693

De Rosario, H., Scataglini, S., Basso, F., Alemany, S., Saeys, W., & Truijen, S. (2023). Applications of Using 4D Scanning Technologies in Biomechanics. In S. Scataglini, G. Harih, W. Saeys, & S. Truijen (Eds.), Advances in Digital Human Modeling (pp. 98–105). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37848-5_11

De Rosario, H., Vivas-Broseta, M. J., Pitarch-Corresa, S., Ruescas, A., Basso, F., & López-Pascual, J. (2022). Improvement of joint reaction forces and moments calculation during a step up and over task using a 4D scanner data. Gait & Posture, 97, S262–S263. https://doi.org/10.1016/j.gaitpost.2022.07.159

Díez Díaz, F., Sánchez Lasheras, F., Moreno, V., Moratalla-Navarro, F., Molina de la Torre, A. J., & Martín Sánchez, V. (2021). GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines. Mathematics, 9(6), Article 6. DOI: 10.3390/math9060654

Fañez, M., Villar, J.R., de la Cal, E., Sedano, J., & González, V.M. (2020). Transfer learning and information retrieval applied to fall detection. Expert Systems. DOI:10.1111/exsy.12522

González, M. L., Sedano, J., García-Vico, Á. M., & Villar, J. R. (2022). A Comparison of Techniques for Virtual Concept Drift Detection. In H. Sanjurjo González, I. Pastor López, P. García Bringas, H. Quintián, & E. Corchado (Eds.), 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (pp. 3–13). Springer International Publishing. DOI: 10.1007/978-3-030-87869-6_1

Herrera Ligero, C., Bermejo Bosch, I., & Chaler Vilaseca, J.L. (2022). La medida de resultados en rehabilitación. Necesidad formativa clave en el siglo XXI. Rehabilitación 56, 169–172. DOI: 10.1016/j.rh.2022.02.007

Herrera Ligero, C., Vivas Broseta, M.J., Ferrer Gómez, C., de Rosario Martínez, H., Garrido-Lestache López-Belmonte, E., & Bermejo Bosch, I. (2022). Variabilidad interobservador del baremo de tráfico (Ley 35/2015) y utilidad de las pruebas biomecánicas en la valoración de las secuelas. Revista Española de Medicina Legal 48, 99–106. DOI: 10.1016/j.reml.2021.12.002

Herrera-Ligero, C., Chaler, J., & Bermejo-Bosch, I. (2022). Strengthening education in rehabilitation: Assessment technology and digitalization. Frontiers in Rehabilitation Sciences, 3. DOI: 10.3389/fresc.2022.883270

Mendibil, X., González-Pérez, F., Bazan, X., Díez-Ahedo, R., Quintana, I., Rodríguez, F. J., Basnett, P., Nigmatullin, R., Lukasiewicz, B., Roy, I., Taylor, C. S., Glen, A., Claeyssens, F., Haycock, J. W., Schaafsma, W., González, E., Castro, B., Duffy, P., & Merino, S. (2021). Bioresorbable and Mechanically Optimized Nerve Guidance Conduit Based on a Naturally Derived Medium Chain Length Polyhydroxyalkanoate and Poly(ε-Caprolactone) Blend. ACS Biomaterials Science & Engineering, 7(2), 672–689. DOI: 10.1021/acsbiomaterials.0c01476

Mollà-Casanova, S., Pedrero-Sánchez, J., Inglés, M., López-Pascual, J., Muñoz-Gómez, E., Aguilar-Rodríguez, M., Sempere-Rubio, N., & Serra-Añó, P. (2022). Impact of Parkinson’s Disease on Functional Mobility at Different Stages. Frontiers in Aging Neuroscience, 14. DOI: 10.3389/fnagi.2022.935841

Pedrero-Sánchez, J. F., Belda-Lois, J. M., Serra-Añó, P., Mollà-Casanova, S., & López-Pascual, J. (2023). Classification of Parkinson’s disease stages with a two-stage deep neural network. Frontiers in Aging Neuroscience, 15. DOI: 10.3389/fnagi.2023.1152917

Pedrero-Sánchez, J. F., Belda-Lois, J.-M., Serra-Añó, P., Inglés, M., & López-Pascual, J. (2022). Classification of healthy, Alzheimer and Parkinson populations with a multi-branch neural network. Biomedical Signal Processing and Control, 75, 103617. DOI: 10.1016/j.bspc.2022.103617

Pedrero-Sánchez, J.-F., De-Rosario-Martínez, H., Medina-Ripoll, E., Garrido-Jaén, D., Serra-Añó, P., Mollà-Casanova, S., & López-Pascual, J. (2023). The Reliability and Accuracy of a Fall Risk Assessment Procedure Using Mobile Smartphone Sensors Compared with a Physiological Profile Assessment. Sensors, 23(14), Article 14. DOI: 10.3390/s23146567

Pedrosa, I., Quirós, P., De Rosario, H., Garrido, D., Gonzalez Hernandez, M., Sedano, J., Arandia, N., & Bazan, X. (2022). Cutting-edge innovation on Artificial Intelligence for integrated care on neuromuskuloesketical disorders. Presented at the 22nd International Conference on Integrated Care, Odense. DOI: 10.13140/RG.2.2.15720.14088

Pérez-Ros, P., Sanchis-Aguado, M. A., Durá-Gil, J. V., Martínez-Arnau, F. M., & Belda-Lois, J. M. (2022). FallSkip device is a useful tool for fall risk assessment in sarcopenic older community people. International Journal of Older People Nursing, 17(3), e12431. https://doi.org/10.1111/opn.12431

Piqueras, P., Ballester, A., Durá-Gil, J. V., Martinez-Hervas, S., Redón, J., & Real, J. T. (2021). Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Frontiers in Psychology, 12, 631179. DOI: 10.3389/fpsyg.2021.631179

Pitarch-Corresa, S., De Rosario – Martínez, H., López – Pascual, J., Porcar – Seder, R., Ruescas – Nicolau, A., & Basso – Della Vedova, F. (2023). Innovative use of 4D scanner for gait analysis of neurological disorders: A case study. Gait & Posture, 106, S166–S167. DOI: 10.1016/j.gaitpost.2023.07.200

Rodríguez, M., Orrite, C., & Medrano, C. (2020). Space-time flexible kernel for recognizing activities from wearable cameras. Pattern Anal Applic. DOI:10.1007/s10044-020-00942-0

Ruescas Nicolau, A.V., De Rosario, H., Basso Della-Vedova, F., Parrilla Bernabé, E., Juan, M.C., & López-Pascual, J. (2022). Accuracy of a 3D temporal scanning system for gait analysis: Comparative with a marker-based photogrammetry system. Gait & Posture 97, 28–34. DOI: 10.1016/j.gaitpost.2022.07.001

Ruescas-Nicolau, A. V., De Rosario, H., Bernabé, E. P., & Juan, M.-C. (2024). Positioning errors of anatomical landmarks identified by fixed vertices in homologous meshes. Gait & Posture, 108, 215–221. DOI: 10.1016/j.gaitpost.2023.11.024

San Martín Valenzuela, C., Dueñas Moscardó, L., López-Pascual, J., Serra-Añó, P., & Tomás, J. M. (2020). Interference of functional dual-tasks on gait in untrained people with Parkinson’s disease and healthy controls: A cross-sectional study. BMC Musculoskeletal Disorders, 21(1), 396. DOI: 10.1186/s12891-020-03431-x

Serra-Añó, P., Pedrero-Sánchez, J. F., Inglés, M., Aguilar-Rodríguez, M., Vargas-Villanueva, I., & López-Pascual, J. (2020). Assessment of Functional Activities in Individuals with Parkinson’s Disease Using a Simple and Reliable Smartphone-Based Procedure. International Journal of Environmental Research and Public Health, 17(11), Article 11. DOI: 10.3390/ijerph17114123

Thürig, G., Panadero-Morales, R., Giovannelli, L., Kocher, F., Peris, J. L., Tannast, M., & Petek, D. (2022). Compressed Lateral and anteroposterior Anatomical Systematic Sequences «CLASS»: Compressed MRI sequences with assessed anatomical femoral and tibial ACL’s footprints, a feasibility study. Journal of Experimental Orthopaedics, 9, 8. DOI: 10.1186/s40634-022-00445-3

Uriel, J., Ruescas, A., Iranzo, S., Ballester, A., Parrilla, E., Remón, A., & Alemany, S. (2022). A methodology to obtain anthropometric measurements from 4D scans. Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022) and Iowa Virtual Human Summit 2022, 7(1), Article 1. DOI: 10.17077/dhm.31758

Villar, J.R., Chira, C., de la Cal, E., González, V.M., Sedano, J., & Khojasteh, S.B. (2020). Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. Neurocomputing. DOI:10.1016/j.neucom.2019.12.147