CODE 117984 ACADEMIC YEAR 2025/2026 CREDITS 6 cfu anno 2 BIOENGINEERING 11159 (LM-21) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester OVERVIEW In recent years, the analysis of human movement in sport and exercise has become increasingly important for optimizing athletic performance, preventing injuries, supporting rehabilitation, and promoting safe and effective physical activity across diverse populations. The availability of advanced biomechanical measurement systems, motion analysis technologies, and computational modeling tools makes it crucial for bioengineers to acquire solid theoretical foundations and practical skills in this multidisciplinary field. This course introduces the scientific principles and practical applications of biomechanics in sports, integrating musculoskeletal biomechanics, ergonomics, movement science, and neuromuscular function. Students will learn how mechanical loads, joint kinematics, muscle activations, and motor control influence sports performance and injury risk. The course combines theoretical knowledge with hands-on experience in experimental techniques widely used in sports biomechanics. AIMS AND CONTENT LEARNING OUTCOMES The course offers an advanced and comprehensive understanding of the biomechanical and ergonomic principles that regulate human movement in sports, exercise, and rehabilitation. Students will develop theoretical and practical expertise in the analysis of posture, kinematics, dynamics, muscle function, and joint loading, applied across a variety of athletic and clinical populations, including amateur, professional, and para-athletes. Throughout the course, students will acquire familiarity with state-of-the-art experimental technologies used in the biomechanical evaluation of human movement. They will learn how to collect, process, and interpret complex biomechanical data, and to apply this information to the optimization of athletic performance and the prevention of sport-related injuries. Furthermore, students will be introduced to biomechanical modeling and simulation techniques, gaining the ability to virtually reconstruct and analyze human movement through musculoskeletal models. The integration of theoretical knowledge, experimental practice, and computational modeling will enable students to approach sport biomechanics with a multidisciplinary perspective, critically linking scientific evidence to real-world applications in sports science, rehabilitation, and ergonomic design. AIMS AND LEARNING OUTCOMES The course aims to provide students with advanced knowledge and practical skills for biomechanical analysis of human movement applied to sports and exercise. Laboratory and field-based activities will support the theoretical lectures, allowing students to directly use motion analysis technologies. At the end of the course, students will be able to: Analyze sports movements from kinematic, dynamic, and energetic perspectives; Acquire, process, and interpret muscle activity data during specific sports actions; Apply biomechanical measurement systems to characterize movement execution, contributing to injury prevention and performance optimization; Use advanced modeling and simulation tools (e.g., OpenSim) for the analysis of sports movements. PREREQUISITES Knowledge of biomechanics and informatics TEACHING METHODS The course includes interactive lectures and laboratory sessions. A combination of theoretical background and applied projects is used, with emphasis on case studies and group work. Students will be divided into small groups and will engage in hands-on computer-based tasks throughout the semester. Students with learning disabilities (DSA) are invited to contact the instructor to discuss personalized arrangements. SYLLABUS/CONTENT Fundamentals of Biomechanics in Sports Introduction to biomechanics and its role in sports and exercise Overview of the musculoskeletal system Concepts of posture, kinematics, dynamics, and energetics of movement Motion Analysis Techniques for sport Methods for capturing and analyzing human movement Use of motion capture systems, force plates, and inertial sensors Data processing and interpretation of kinematic and kinetic variables Muscle Activity and Neuromuscular Function during sport activity Principles of electromyography (EMG) Muscle activation patterns during athletic performance Experimental protocols and data interpretation Biomechanical Assessment and Performance Optimization Biomechanical characterization of sports exercises Injury prevention through movement analysis Ergonomic and performance-related implications for amateur, professional, and para-athletes Modeling and Simulation of sport gestures Introduction to biomechanical modeling tools (e.g., OpenSim) Creating and using musculoskeletal models Simulating and analyzing sports gestures to support performance enhancement and rehabilitation strategies RECOMMENDED READING/BIBLIOGRAPHY Specific indications on reference bibliography will be provided by the professor at the beginning of the lectures. TEACHERS AND EXAM BOARD ANDREA CANESSA Ricevimento: Students may contact the professor by e-mail to arrange an appointment. mail: andrea.canessa@unige.it Office: Dipartimento di informatica bioingegneria, robotica ed ingegneri dei sistemi Via opera pia 13, Building E, second floor CAMILLA PIERELLA Ricevimento: For appointment contact: camilla.pierella@unige.it LESSONS LESSONS START Classes will start according to the official academic calendar of the study program Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The final assessment consists of an oral examination on the theoretical topics covered throughout the course and a project-based discussion related to the laboratory work and data analysis performed by each student or group. ASSESSMENT METHODS Assessment will be based on both the final oral exam and the laboratory activities. Each component will be evaluated for completeness, originality, and quality, according to a shared and transparent grading rubric. Evaluation criteria include mastery of content, analytical skills, clarity of presentation, and innovation in data analysis or project development. FURTHER INFORMATION Ask the professor for other information not included in the teaching schedule.