@book{horsak_advancements_2019, address = {Vienna}, title = {Advancements in biomechanical research in gait analysis and motor rehabilitation ({Habilitation})}, abstract = {The quantification and analysis of human movement have constantly challenged researchers, clinicians and coaches during the last centuries. While it was a time-consuming and cumbersome task at the beginning, advancements in processing power and technology allowed to develop more complex and accurate measurement and analysis techniques over time. To mention only the most frequently used technologies, these range from three-dimensional (3D) motion-capturing, sophisticated medical-imaging based personalized biomechanical modelling, the quantification of muscle activation via surface electrodes, to the application of advanced data-science driven methods on big data. This cumulative habilitation thesis describes research in biomechanics relevant to gait analysis and motor rehabilitation which utilizes sophisticated biomechanical measurement techniques combined with emerging and innovative technologies to aid clinical practice and decision-making. More specifically, the presented research includes the following contributions: (i) using electromyographic analysis to understand muscle activation patterns during rehabilitation exercises and walking, (ii) investigations in methodological aspects of clinical 3D gait analysis in overweight and obese children and adolescents, (iii) the application of standard clinical 3D gait analysis to quantify intervention effects in a randomized-controlled trial, (iv) the prototyping and evaluation of an in-shoe real-time sonification feedback device for gait rehabilitation, and (v) the application and optimization of machine learning techniques to automatically identify specific gait patterns in gait analysis data. Even though the utilized techniques in this thesis are highly developed, there are still technical limitations that hamper knowledge generation when using them. However, technological advancements and innovations are still ongoing. Therefore, in the final chapter this thesis will give an outlook to what can be expected in the near future and to where research and development in the field of applied biomechanics are currently advancing.}, publisher = {University of Vienna}, author = {Horsak, Brian}, month = oct, year = {2019}, keywords = {3D Free Hand Ultrasound, Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak}, }