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52059-01 - Lecture: Clinical Biomechanics 3 CP

Semester fall semester 2024
Course frequency Every fall sem.
Lecturers Matilde Bertoli (matilde.bertoli@unibas.ch)
Linda Bühl (linda.buehl@unibas.ch)
Lauren Stephanie Waiman Chee (lauren.chee@unibas.ch)
Eleonora Croci (eleonora.croci@unibas.ch)
Beat Göpfert (beat.goepfert@unibas.ch)
Simon Herger (simon.herger@unibas.ch)
Marlene Mauch (marlene.mauch@unibas.ch)
Sébastien Muheim (s.muheim@unibas.ch)
Annegret Mündermann (annegret.muendermann@unibas.ch)
Corina Nüesch (c.nueesch@unibas.ch)
Georg Rauter (georg.rauter@unibas.ch)
Jacqueline Romkes (j.romkes@unibas.ch)
Morgan Sangeux (morgan.sangeux@unibas.ch)
Heide Elke Viehweger (heideelke.viehweger@unibas.ch, Assessor)
Michèle Widmer (mi.widmer@unibas.ch)
Regine Zibold (regine.lohss@unibas.ch)
Content Introduction Clinical Biomechanics Normal Walking and Observational Analysis
Healthy Gait Kinematics: Clinical background
Healthy Gait Kinematics: Mechanical understanding
Inertial measurement units and their clinical utility and challenges
Recap muscle physiology, Electromyography and its clinical application
Kinetics: Mechanical background
Kinetics: The kinetics of normal gait
Robotics in clinics
Clinical applications (lower limb, knee)
Musculoskeletal Modelling in clinical application
Clinical applications (foot, spine)
Clinical applications


Learning objectives Motion Capture Principles: Students will gain an understanding of how a center of motion capture is set up in a clinical setting. They will gain an insight into the process of preparing laboratory equipment and data acquisition in a hospital environment.
Motion Data Interpretation: By examining gait patterns and biomechanical parameters collected using various applications/technologies of clinical motion analysis, students gain a deeper understanding of human movement. Through examining a variety of cases from the fields of orthopaedics, neuroorthopaedics, sports and everyday life, students develop the ability to interpret movement data and identify abnormalities and their clinical consequences.
Knowledge on Technical Applications in Clinical Motion/Gait Analysis: Students become familiar with the technical applications commonly used in clinical motion and gait analysis. Moreover, they learn which applications provide certain types of data, and gain insight into the complexity of motion data analysis. Additionally, students explore how biomechanical parameters are calculated and learn to navigate the challenges and limitations inherent in data collection systems.
Transfer of Clinical Interpretation Knowledge: Through case studies, students learn to transfer their interpretation knowledge to different scenarios. By applying their understanding of biomechanical principles to various cases, students develop the ability to adapt their analytical skills to diverse clinical settings.
Bibliography BAKER, R., & HART, H. M. (2013). Measuring walking a handbook of clinical gait analysis. London, Mac Keith Press. http://site.ebrary.com/id/10705870.

WINTER, D. A. (2009). Biomechanics and motor control of human movement. Hoboken, New Jersey, John Wiley & Sons

Armand S, Sawacha Z, Goudriaan M, Horsak B, van der Krogt M, Huenaerts C, Daly C, Kranzl A, Boehm H, Petrarca M, Guiotto A, Merlo A, Spolaor F, Campanini I, Cosma M, Hallemans A, Horemans H, Gasq D, Moissenet F, Assi A, Sangeux M. Current practices in clinical gait analysis in Europe: A comprehensive survey-based study from the European society for movement analysis in adults and children (ESMAC) standard initiative. Gait Posture. 2024 Jun;111:65-74. doi: 10.1016/j.gaitpost.2024.04.014. Epub 2024 Apr 22. PMID: 38653178.

Campanini I, Disselhorst-Klug C, Rymer WZ, Merletti R. Surface EMG in Clinical Assessment and Neurorehabilitation: Barriers Limiting Its Use. Front Neurol. 2020 Sep 2;11:934. doi: 10.3389/fneur.2020.00934. PMID: 32982942; PMCID: PMC7492208.

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Admission requirements Participation to the following modules:
- «minimal requirements» Basics in Physiology and Anatomy (C08 OR C60 OR C61) AND Basics in Maths and Mechanics (C04 AND C16)
- «recommended requirements»: Extended knowledge in Maths and Mechanics (C05 and C21)
- «nice to have»: Basics in Statistics C56
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Friday 08.15-10.00 Biozentrum, Seminarraum 02.073

Dates

Date Time Room
Friday 20.09.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 27.09.2024 08.15-10.00 Biozentrum, Seminarraum 01.006
Friday 04.10.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 11.10.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 18.10.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 25.10.2024 08.15-10.00 Biozentrum, Seminarraum 01.006
Friday 01.11.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 08.11.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 15.11.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 22.11.2024 08.15-10.00 Biozentrum, Seminarraum U1.197
Friday 29.11.2024 08.15-10.00 Dies Academicus
Friday 06.12.2024 08.15-10.00 Biozentrum, Seminarraum 01.006
Friday 13.12.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 20.12.2024 08.15-10.00 Biozentrum, Seminarraum 02.073
Friday 10.01.2025 14.00-16.00 Biozentrum, Seminarraum U1.191
Modules Modul: Diagnostic and Therapeutic Technologies (Master's Studies: Biomedical Engineering)
Module: Biomedical Engineering (Master's Studies: Biomedical Engineering (Start of studies before 01.08.2023))
Assessment format record of achievement
Assessment details Format: written exam (once per year, every autumn semester)
Duration: 1.5 hours (multiple choice questions)
Exam date:10.01.2025 14:00 - 16:00 Biozentrum, Seminarraum U1.191
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination one repetition, best attempt counts
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Medicine
Offered by Departement Biomedical Engineering (DBE)

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