Subproject C03
Subproject C03
Investigation of Postural Control Using Sensomotorically Extended Musculoskeletal Human Models
Novel postural control models of standing and walking are explored to characterize the components of dynamic balance control. For this purpose, clinically annotated standing and walking movements are used as input data, and muscle-actuated multi-body models are extended by a sensorimotor level. Neuromotor and control model parameters of (patho-)physiological movement are identified with the help of machine learning methods. Technical and clinical validation of the models will be performed. New EmpkinS measurement techniques will be transferred to the developed models as soon as possible.
Contacts
Principal Investigators
Prof. Dr. Björn Eskofier
Principal Investigator
Dr.-Ing. Jörg Miehling
Principal Investigator
Prof. Dr.-Ing. Sandro Wartzack
Principal Investigator
Prof. Dr. med. Jürgen Winkler
Principal Investigator
Doctoral Candidates
Others
PD Dr. Heiko Gaßner
Associated Member
Prof. Dr. Jochen Klucken
Associated Member
Additional Information
Publications
- Jakob V, Küderle A, Klucken J, Eskofier B, Winkler J, Winterholler M, Gaßner H, Kluge F: Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease Sensors (2021)
- Ullrich M, Roth N, Küderle A, Richer R, Gladow T, Gaßner H, Marxreiter F, Klucken J, Eskofier B, Kluge F: Fall Risk Prediction in Parkinson’s Disease Using Real-World Inertial Sensor Gait Data IEEE T NEUR SYS REH (2022)
- Gaßner H, Trutt E, Seifferth S, Friedrich J, Zucker D, Salhani Z, Adler W, Winkler J, Jost WH: Treadmill training and physiotherapy similarly improve dual task gait performance: a randomized-controlled trial in Parkinson’s disease Journal of Neural Transmission (2022)
- Gaßner H, Friedrich J, Masuch A, Jukic J, Stallforth S, Regensburger M, Marxreiter F, Winkler J, Klucken J: The Effects of an Individualized Smartphone-Based Exercise Program on Self-defined Motor Tasks in Parkinson Disease: Pilot Interventional Study JMIR Rehabilitation and Assistive Technologies (2022)
- Wechsler I, Wolf A, Fleischmann S, Waibel J, Molz C, Scherb D, Shanbhag J, Franz M, Wartzack S, Miehling J: Method for Using IMU-Based Experimental Motion Data in BVH Format for Musculoskeletal Simulations via OpenSim Sensors (2023)
- Shanbhag J, Wolf A, Wechsler I, Fleischmann S, Winkler J, Leyendecker S, Eskofier B, Koelewijn A, Wartzack S, Miehling J: Methods for integrating postural control into biomechanical human simulations: A systematic review Journal of NeuroEngineering and Rehabilitation (2023)
- Brückner S, Weber J, Michler F, Shanin N, Schober R, Hagelauer A, Weigel R, Gaßner H, Winkler J, Eskofier B, Vossiek M: A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (2023)
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