Gait data acquisition system with integrated pedobarograph and imaging system

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

4th International Conference and Exhibition on Huamnoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM 2009)

Publication Date

2009

Abstract

Gait related problems can be addressed with the use of qualitative and quantitative data. In the current Philippines’ setting, doctors rely only on their skills and experience on analyzing their patients’ gait patterns. Gait analyzing systems are available abroad but are very expensive. The proponents created a low cost system that integrated a pedobarograph and gait-imaging system which can be locally available. The imaging system is composed of an image capturing device, a desktop computer, and reflective markers. The cameras capture the walking pattern, and then save the images which can be reloadable. The gait system measures the degree of angle displaced by the joints of the limbs during walking. After processing 269 images captured by the imaging system, the results show that the system has an average of 2.2% error and is 97% reliable in having an error of less than 5.0% for its angle measurements. The pedobarograph part is composed of a force plate, a signal conditioning circuit and a data acquisition system. The pressure readings are voltage signals processed by the motherboard. On the GUI of the program, colors were used to display relative pressure readings; black for off and no contact, blue for low pressure, and red for high pressure. It was found out that in order to capture a complete stance phase events of a walk, the patient must walk along the platform at least three times per session. The gait system prototype proved to provide reliable joint measurements and display relative foot pressure distribution simultaneously.

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Disciplines

Manufacturing | Mechanical Engineering

Keywords

Gait in humans; Diagnostic imaging

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