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52059-01 - Vorlesung: Clinical Biomechanics 3 KP

Semester Herbstsemester 2024
Angebotsmuster Jedes Herbstsemester
Dozierende 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, BeurteilerIn)
Michèle Widmer (michele.klaeusler@unibas.ch)
Regine Zibold (regine.lohss@unibas.ch)
Inhalt 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


Lernziele Motion Capture Principles: Students will gain an understanding of how a motion capture laboratory 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.
Literatur 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.

Bemerkungen
Weblink DBE

 

Teilnahmebedingungen 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
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Wochentag Zeit Raum
wöchentlich Freitag 08.15-10.00 Biozentrum, Seminarraum 01.006

Einzeltermine

Datum Zeit Raum
Freitag 20.09.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 27.09.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 04.10.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 11.10.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 18.10.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 25.10.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 01.11.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 08.11.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 15.11.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 22.11.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 29.11.2024 08.15-10.00 Uhr Dies Academicus
Freitag 06.12.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 13.12.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Freitag 20.12.2024 08.15-10.00 Uhr Biozentrum, Seminarraum 01.006
Module Modul: Biomedical Engineering (Masterstudium: Biomedical Engineering (Studienbeginn vor 01.08.2023))
Modul: Diagnostic and Therapeutic Technologies (Masterstudium: Biomedical Engineering)
Leistungsüberprüfung Leistungsnachweis
Hinweise zur Leistungsüberprüfung Format: written exam (once per year, every autumn semester)
Duration: 1.5 hours (multiple choice questions)
Exam date: Friday 10.01.2022 (time to be determined)
An-/Abmeldung zur Leistungsüberprüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung eine Wiederholung, bester Versuch zählt
Skala 1-6 0,1
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Medizinische Fakultät
Anbietende Organisationseinheit Departement Biomedical Engineering (DBE)

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