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<title>Recerca (Articles i Congressos)</title>
<link>https://hdl.handle.net/20.500.12367/1846</link>
<description>Documents de recerca del TecnoCampus, en accés obert, com ara articles de revista, comunicacions, ponències, informes de recerca, working papers, etc.</description>
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<dc:date>2026-06-10T01:01:56Z</dc:date>
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<item rdf:about="https://hdl.handle.net/20.500.12367/3247">
<title>Inferences about fossil hominin locomotion through 3D morphometric analysis of wrist ligament insertion sites</title>
<link>https://hdl.handle.net/20.500.12367/3247</link>
<description>Inferences about fossil hominin locomotion through 3D morphometric analysis of wrist ligament insertion sites
Casado, Aroa; Martinez-Liria, Xavier; San Millán, Marta; Menés, Laura; Ciurana, Neus; García-Cuesta, Marcel; Rodríguez, Patrícia; Pastor, Francisco; Cabo, Roberto; Potau, Josep Maria
Understanding the evolution of wrist anatomy in fossil hominins is essential for reconstructing their locomotor behavior and manipulative capabilities. Traditionally, most studies have focused on bone morphology, overlooking the informative potential of soft tissue attachment sites. In this study, we introduce a novel approach based on the three-dimensional geometric morphometric analysis of ligament insertion sites on the distal radial epiphysis. We analyzed a comparative sample including fossil hominins—Australopithecus afarensis, Australopithecus anamensis, Australopithecus sediba, Paranthropus robustus, Homo neanderthalensis, and archaic Homo sapiens—as well as extant hominoids: Homo sapiens, Pan troglodytes, Gorilla gorilla and Pongo pygmaeus. The results show marked interspecies differences in the size, orientation, and position of specific ligament insertions, reflecting divergent functional adaptations. [...]
</description>
<dc:date>2025-01-01T00:00:00Z</dc:date>
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<item rdf:about="https://hdl.handle.net/20.500.12367/3246">
<title>Improvement responses in patellar tendinopathy patients treated with ultrasound-guided galvanic electrolysis technique: a 3-year follow-up study</title>
<link>https://hdl.handle.net/20.500.12367/3246</link>
<description>Improvement responses in patellar tendinopathy patients treated with ultrasound-guided galvanic electrolysis technique: a 3-year follow-up study
ABAT, FERRAN; De la Fuente, Carlos; Roby, Matias; Schek, Alberto; Roby, Santiago; Campos, Jocelio; Yañez, Roberto
Purpose: To determine the pattern changes over time in patients who experience different effects on the Victorian Institute of Sport Assessment–Patella score (VISA-P), International Knee Documentation Committee (IKDC), Kujala score and Tegner activity score following 3 years of follow-up after an ultrasound-guided galvanic electrolysis technique (USGET) intervention in patellar tendinopathy. Methods: Fifty-one adult patients with patellar tendinopathy were followed for 3 years after undergoing USGET. Clinical evaluations were conducted at baseline, 3-, 6-, 12-, 24- and 36-month postintervention, evaluating the VISA-P, IKDC, Kujala score and Tegner activity score. The intervention was applied bimonthly for 3 months, accompanied by a biweekly standardised therapeutic exercises routine. Clinical outcomes were analysed with latent growth linear modelling (α = 5%), which assesses individual trajectories of change over time, capturing both initial status (intercepts) and rate of change (slopes) while accounting for variability across subjects. […]
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<dc:date>2025-07-01T00:00:00Z</dc:date>
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<item rdf:about="https://hdl.handle.net/20.500.12367/3245">
<title>Health outcomes in fragility fractures in the Spanish registry of osteoporotic fractures according to the FLS care model</title>
<link>https://hdl.handle.net/20.500.12367/3245</link>
<description>Health outcomes in fragility fractures in the Spanish registry of osteoporotic fractures according to the FLS care model
Cuadra Llopart, Leonor; Santana Zorrilla, Samantha; MARTINEZ LAGUNA, DANIEL; Giner, Mercè; Izquierdo-Avino, Rafael; Montoya-García, María-José; Ovejero, Diana ; Mesa, Manuel; Castro Oreiro, Sonia; Fernández Sénder, Laura; Lojo-Oliveira, Leticia; Vaquero López, Carmen; Alvarado Escobar, Christian Mauricio; Montesa, María Jesús; Pareja Sierra, Teresa; Campos Fernández, Cristina; CANCIO TRUJILLO, JOSE MANUEL; Fuentes, Sonia; Marassi-Campos, Ma Jose; Martínez-Díaz-Guerra, Guillermo; mora-fernandez, jesus; REFRA_FLS group
Background: Fracture Liaison Services (FLS) are the gold standard for secondary fracture prevention, but their characteristics vary depending on the care model. This study describes the differences between Orthogeriatric (FLS-ORT) and Bone Metabolism (FLS-MET) models in Spain, based on data from the national osteoporotic fracture registry.&#13;
Methods: We conducted a retrospective, multicenter cohort study including 8,962 patients aged ≥50 years with fragility fractures from 25 active FLS in Spain (2019–2023). Patients were classified based on the care model: FLS-ORT (n = 3,695) or FLS-MET (n = 5,267). Baseline characteristics, fracture types, treatment initiation, adherence, and 12-month outcomes were compared. […]
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<dc:date>2026-04-01T00:00:00Z</dc:date>
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<item rdf:about="https://hdl.handle.net/20.500.12367/3244">
<title>Handwriting-based gender classification using robotic and machine learning models</title>
<link>https://hdl.handle.net/20.500.12367/3244</link>
<description>Handwriting-based gender classification using robotic and machine learning models
Aleman, Belen E.; Diaz, Moises; Ferrer, Miguel A; Quintana, Jose J.; Faundez-Zanuy, Marcos
Handwriting analysis provides insights into motor control and cognitive processes, with potential differences arising from biological gender and neurological conditions such as Parkinson’s disease (PD). Investigating these differences can lead to improved understanding of motor and cognitive functions. This study introduces a novel methodology that integrates robotic features to estimate gender from handwriting. Kinematic and dynamic features are estimated by simulating handwriting with a robotic model. Linear predictive coding (LPC) and singular spectrum analysis (SSA) are applied to the kinematic and dynamic sequences. Machine learning algorithms are used to classify handwriting as male or female. Handwriting samples from healthy individuals (BiosecurID database) and PD patients (PaHaW dataset) were analyzed. The proposed method demonstrates state-of-the-art performance in gender classification, revealing significant differences between healthy and unhealthy individuals. [...]
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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