Gait Analysis and Gait Analysis with Upper Extremity Analysis
- Normalize data by body weight, height, percentage of gait cycle, and stride length
- Use pre-defined 6 degree of freedom rigid bodies for fast, easy and accurate set-up
Gait Analysis
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Perform real-time data collection with no post-processing.
- Use pre-defined 6 degree of freedom rigid bodies for fast, easy and accurate set-up.
- Define virtual joint centers using Bell, Davis or Leardini methods or from user defined anatomical landmarks.
- Output all kinematic data including joint moments and forces using simple drop-down menus.
- Trigger data collection with forceplate impact or foot switches for hands-free collection.
- Normalize data by body weight, height, percentage of gait cycle, and stride length.
- Automatically ensemble average output data. Display with standard deviations and/or scatter plots.
- Create user parameterized databases for comparative analysis of subject data.
This is an image showing the results of selecting some common lower extremity variables for a gait activity. The graphs display the Grood and Suntay angle for right knee flexion, right knee flexion angular velocity and the ground reaction force on the right foot.
Gait Analysis-with Upper Extremity Analysis
- Incorporate instrumented walkers and canes from AMTI into the analysis of gait.
- Output all kinematic data including upper extremity joint moments and forces using simple drop-down menus.
- Register and align transducer force and moments with the hand's local coordinate system.
- Trigger data collection with forceplate impact or foot switches for hands-free collection.
- Normalize data by body weight, height, percentage of gait cycle, and stride length.
- Automatically ensemble average output data. Display with standard deviations and/or scatter plots.
- Create user parameterized databases for comparative analysis of subject data or use existing research data. see UW-L Gait Data Sets
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AMTI's hand transducer is easily incorporated into walkers and canes. When the transducer's coordinate system is registered or aligned with the local coordinate system of the hand, The MotionMonitor® can compute the joint forces generated at the wrist, elbow and shoulder. The MotionMonitor® includes pre-defined methods for completing the registration. Display of animated forces and graphical displays of data graphs are selected from intuitive drop-down menus.
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