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Gait Analysis

For the treatment and rehabilitation of mobility disorders the AMS supports the further development of gait and motion analysis.

MoBiMon - Mobile Biomechanical Monitoring

Pendulum Arm - MoBiMon
Pendulum Arm and Trajectory of the Pendulum Arm shown in MobileBody (left) and jBEAM (right)

Gait and motion analyses are performed in the medical technology for treatment and rehabilitation of mobility disorders. Therefore the surgical and therapy planning can be supported, the course of treatment can be better controlled and documented as well as the causal research of pain is facilitated. The currently available stationary systems require great expenditure of time and costs and are subject to various restrictions:

  • Gait analysis is only possible in the gait laboratory
  • Motion sequences are sometimes not authentic
  • Sensors are located directly on the skin, no regular clothes, partly false measuring results

For this reason, the cooperation project between the University Duisburg, its Chair for Mechanics and Robotics, 2D Data Recording and AMS was set up. The objective is the advancement of the stationary gait and motion analysis in a "double mobile system". Thus, the motion analysis is no longer tied to a fixed place and a study of the entire musculoskeletal system can be performed for the first time over a longer period of time. In addition to rehabilitation of movement disorders this is also used for performance measurement and optimization of motion sequences in competitive sports.

A basic module is thereby MobileBody, which was developed by ITBB GmbH and the Chair of Mechanics and Robotics. This diagnosis system combines information of gait laboratory measurements with MRI scans and radiographs to create patient-specific models. Furthermore, complex movements can be simulated.

The task of the AMS is to acquire and analyze the data that are generated during simulation. The AMS uses the basic structure of jBEAM to develop applications for the analysis and visualization of through biomechanical algorithms processed measurement data on a tablet. This allows the doctor during the examination to regard the digital presentation on display as well as the patient from different angles. Moreover, the 3D visualization of the virtual skeleton of the patient should be facilitated by jBEAM, which serves the examination of specific disease patterns (after hip joint surgery, stroke,...).