Zurück
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 (mi.widmer@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 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. |
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 02.073 |
Datum | Zeit | Raum |
---|---|---|
Freitag 20.09.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 27.09.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 01.006 |
Freitag 04.10.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 11.10.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 18.10.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 25.10.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 01.006 |
Freitag 01.11.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 08.11.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 15.11.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 22.11.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum U1.197 |
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 02.073 |
Freitag 20.12.2024 | 08.15-10.00 Uhr | Biozentrum, Seminarraum 02.073 |
Freitag 10.01.2025 | 14.00-16.00 Uhr | Biozentrum, Seminarraum U1.191 |
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:10.01.2025 14:00 - 16:00 Biozentrum, Seminarraum U1.191 |
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) |