Objectives
The aim of this course is providing students with basics of instrumentation management and the comprehension of biomechanical models used in motion analysis. The course describes the operation principle of sensors typically used in a movement analysis laboratory, such as force, position, velocity and displacement transducers. Subsequently, it explains the principal techniques for the experimental data analysis of biomechanical variables, which exhaustively represent human movement kinematics and kinetics.
Class attendance is expected and strongly encouraged.
Channels
EDUARDO PALERMO Teacher profile
Programme
Lesson topic
1. Introduction Examples of research in Biomechanics
History of Gait Analysis
Critical issues
2. State of the Art State of the art on experimental methodologies in Biomechanics
3. Kinematics of the Rigid Body Review of linear algebra
2. State of the Art Motion Analysis Laboratory Instrumentation
10. Matlab Tutorial Matlab Tutorial - Vectors
3. Kinematics of the Rigid Body Localization not optimal
2. State of the Art Motion Analysis Laboratory Instrumentation
10. Matlab Tutorial Matlab Tutorial - Vectors
3. Rigid Body Kinematics Optimal localization
4. Joint kinematics Measurements of joint kinematics
10. Matlab Tutorial Matlab Tutorial - Not optimal localization
3. Rigid Body Kinematics Differential kinematics
Exercises in exam mode
5. Joint Dynamics Measurements of joint dynamics
Measurements of joint dynamics
10. Matlab Tutorial Matlab Tutorial - Optimal localization
5. Joint Dynamics Measurements of joint dynamics
Measurements of joint dynamics
10. Matlab tutorial Matlab tutorial - Joint dynamics
6. Posturography Posturography and pressure sensor arrays
Sports Biomechanics seminar in collaboration with CONI
7. IMU Inertial Systems in Biomechanics (IMU)
Inertial Systems in Biomechanics (IMU)
Inertial Systems in Biomechanics (IMU)
10. Matlab Tutorial Matlab Tutorial - IMU
8. Electromyography Electromyography
9. Robot Mediated Therapy Robot Mediated Therapy
10. Matlab Tutorial Matlab Tutorial- Electromyography
9. Robot Mediated Therapy Robot Mediated Therapy
Robot-mediated therapy
Exercises in exam mode
Adopted texts
- David A. Winter, Biomechanics and Motor Control of Human Movement. Wiley.
- Lecture notes provided by the teacher.
Prerequisites
No previous course is strictly required. However, students are expected to be familiar with concepts from a basic mechanical measurements course and with rigid-body dynamics.
Study modes
The course is taught via traditional lectures. A substantial part of the class schedule is reserved for assisted practical sessions of implementation of biomechanical models in Matlab.
Frequency modes
Students are invited to come to class regularly. However, attendance is not strictly required.
Exam modes
Evaluation is based on both a written and oral exams. Written exam includes: exercises on joint kinematics and dynamics, short essay questions on theory, and Matlab coding test.
- Academic year: 2023/2024
- Curriculum: Biomedica (percorso valido anche ai fini del doppio titolo italo-venezuelano)
- Year: Second year
- Semester: First semester
- SSD: ING-IND/12
- CFU: 9
- Attività formative affini ed integrative
- Ambito disciplinare: Attività formative affini o integrative
- Lecture (Hours): 40
- CFU: 4
- SSD: ING-IND/12
- Attività formative affini ed integrative
- Ambito disciplinare: Attività formative affini o integrative
- Lecture (Hours): 50
- CFU: 5
- SSD: ING-IND/12