Ground Reaction Force Prediction During Weighted Leg Press and Weighted Squat in a Flywheel Exercise Device
DEGREE PROJECT IN MEDICAL ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2017 Ground Reaction Force Prediction during Weighted Leg Press and Weighted Squat in a Flywheel Exercise Device Estimering av markreaktionskraften vid viktad benpress och viktad knäböj i ett svänghjulsbaserat träningsredskap TOBIAS MUNKHAMMAR KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF TECHNOLOGY AND HEALTH Acknowledgement First of I would like to thank my supervisor, Maria J¨onsson,for guidance and encouragement during the whole project and Lena Norrbrand, who, together with Maria collected all experi- mental data used in this study. Furthermore, my thanks goes to Rodrigo Moreno, Jan H¨ornfeldt, Jonathan Munkhammar and Ola Eiken for proof-reading and general feedback on the report and Elena Gutierrez Farewik, for being a link towards the musculoskeletal software company whenever the licence struggled. Lastly, I would like to thank all people at the Department of Environmental Physiology, for making me feel welcome and showing interest in my work. Abstract When performing a biomechanical analysis of human movement, knowledge about the ground reaction force (GRF) is necessary to compute forces and moments within joints. This is important when analysing a movement and its effect on the human body. To obtain knowledge about the GRF, the gold standard is to use force plates which directly measure all three components of the GRF (mediolateral, anteroposterior and normal). However, force plates are heavy, clunky and expensive, setting constraints on possible experimental setups, which make it desirable to exclude them and instead use a predictive method to obtain the full GRF. Several predictive methods exist. The node model is a GRF predictive method included in a musculoskeletal modeling software.
[Show full text]