CODE 106729 ACADEMIC YEAR 2022/2023 CREDITS 6 cfu anno 1 BIOENGINEERING 11159 (LM-21) - GENOVA 6 cfu anno 2 BIOENGINEERING 11159 (LM-21) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/06 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW The course aims at providing the essential physiological background and knowledge of experimental methods and computational tools for understanding human movements. AIMS AND CONTENT LEARNING OUTCOMES L'insegnamento presenta le tecnologie, i metodi analitici, gli approcci modellistici per l'analisi e la quantificazione del movimento umano e dei suoi correlati neurali. Argomenti specifici includono analisi tridimensionale dei movimenti, la meccanica muscolare e corporea, la fisiologia e i segnali fisiologici nel controllo motorio, la modellistica del controllo motorio. AIMS AND LEARNING OUTCOMES By the end of the course the students will be able to record and analyse human movements (kinematics, kinetics, muscle activity) and describe the underlying control, using the appropriate devices, and analytical and modeling tools. PREREQUISITES There are no formal prerequisites, but students are expected to know mechanics, geometry, calculus and signal analysis. TEACHING METHODS The course combines lectures, guided experimental sessions, and analysis of movement data. SYLLABUS/CONTENT A. Human movement (wk 1-2). Levels of description of movement: kinematic, kinetic, muscle mechanics, physiology. Terminology for describing human movements (limb movements, hand movements including manipulation). Reminder of neuroanatomy of the sensorimotor system. B. Motion capture technologies (wk 3-4). Introduction to projective geometry.Stereophotogrammetry. Inertial measurement units. Analysis of movement kinematics. C. Muscle mechanics and control (wk 5-6). Reminder of muscle physiology. Fiber types: intrafusal, extrafusal. Hill’s model of muscle force generation. Muscles and contraction types. Motor units and size principle. Electromyography: surface vs intramuscular. Analysis of EMG signals. D. Single-joint and Multi-joint neuromechanics (wk 7-8). Rigid body mechanics: Newton-Euler and Lagrange Methods. Multi-joint movement statics. The redundancy problem. Dynamics: equations of motion of kinematic chains. Mechanical impedance and its measure. Dynamometry. E. Biomechanics of locomotion (wk 9-10). Gait kinematics and kinetics. Running, cycling, swimming. Computational motor control (wk 11-12). Historical overview. Movement psycho-physics. Multi-sensory and sensorimotor integration. Optimality in motor control. Joint action. Motor learning. RECOMMENDED READING/BIBLIOGRAPHY Uchida TK, Delp SL (2021) Biomechanics of Movement. MIT Press. TEACHERS AND EXAM BOARD VITTORIO SANGUINETI Ricevimento: VITTORIO SANGUINETI. Appointment: Tel. 0103356487 or vittorio.sanguineti@unige.it Exam Board VITTORIO SANGUINETI (President) MARCO MASSIMO FATO SILVIO PAOLO SABATINI (President Substitute) LESSONS LESSONS START https://corsi.unige.it/11159/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Written exam (weight 50%) Project work (weight 50%) ASSESSMENT METHODS The written exam will consist of questions and problems on lecture topics. The project work will involve recording a specific movement and analyzing the recorded data Exam schedule Data appello Orario Luogo Degree type Note 16/01/2023 09:30 GENOVA Scritto 16/01/2023 09:30 GENOVA Scritto 06/02/2023 09:30 GENOVA Scritto 06/02/2023 09:30 GENOVA Scritto 15/06/2023 09:30 GENOVA Scritto 15/06/2023 09:30 GENOVA Scritto 10/07/2023 09:30 GENOVA Scritto 10/07/2023 09:30 GENOVA Scritto 11/09/2023 09:30 GENOVA Scritto 11/09/2023 09:30 GENOVA Scritto