Ilaria Bortone
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Recent Grants
Grant: Close
TELOS - Tailored neurorehabilitation thErapy via multi-domain data anaLytics and adaptive seriOus games for children with cerebral palSy
Open Date: 2020-10-01
Close Date: 2023-03-01
Grant: Close
Robot4Children (R4C)
Open Date: 2016-10-01
Close Date:
Grant: Close
KISS-Health (Knowledge Intensive Social Services for Health)
Open Date: 2012-06-01
Close Date: 2015-06-01
Articles (10)
Year:
2023
Sports biomechanics enables thorough examination of athletic movements to enhance athletic performance and/or reduce injury risk. Few studies have looked at the possibilities of cutting-edge technology in fencing, even though it presents an intriguing scenario for sports biomechanics due to the significant demands it places on the body in terms of neuromuscular coordination, strength, power, and musculoskeletal system impact. The aim of the study is to identify and summarise current evidence on the application of motion technologies in support of fence athletes and to provide a framework for the assessment and training of fencers, including performance measures and protocols. Peer-reviewed research was identified from electronic databases using a structured keyword search. Details regarding experimental design, study group characteristics, and measured outcomes were extracted from retrieved studies, summarised, and information regrouped under themes for analysis. The methodological quality of the evidence was evaluated. Thirty-five studies were included in the present review, which showed kinetic, kinematic, muscle recruitment and coordination differences among athletes as gender and athletic training differed. Findings revealed that most of the included studies investigated the lunge technique in professional athletes using Optoelectronic Systems and force platforms as preferred motion technologies. Only nine studies reported the assessment of muscle activation during task execution (25.7%). Less than 20% of the study recurred to Artificial Intelligence/Machine Learning (AI/ML) approaches in the analysis. The potential contribution of the user’s kinematic/kinetic data and physiological measures is still underestimated. The recommendations provided in this study could help promote and support further cross-sectional and longitudinal studies in the field.
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2023
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2023
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2022
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2022
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2022
Collaborators (8)
eugenio di sciascio
full professor
Politecnico di Bari
Madia Lozupone
University of Bari Aldo Moro
Domenico Lofù
Assistant Professor (RTD-A) in Information Processing Systems
Politecnico di Bari
Francesco Panza
University of Bari Aldo Moro
Tommaso Di Noia
Polytechnic University of Bari
Nicola Quaranta
Full Professor Otolaryngology
Università degli Studi di Bari
Mario Altamura
Associate Professor in Psychiatry
University of Foggia
Giancarlo Sborgia
University of Bari
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