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Gait analysis has become recently a popular research field and been widely applied to clinical diagnosis of neurodegenerative diseases. Various low-cost sensor-based and vision-based systems are developed for capturing the hip and knee joint angles. However, the performances of these systems have not been validated and compared between each other. The purpose of this study is to set up an experiment...
In order to early diagnosis and treatment of knee abnormalities, in this study an automated diagnosis system using wearable EMG and goniometer sensors is proposed. Eight different classification techniques are investigated with a set of time-domain features. The experiments are conducted with 22 subjects' data and the best accuracy of 97.17% is achieved based on the Bagged Decision Trees classifier...
Understanding the solid biomechanics of the human body is important to the study of structure and function of the body, which can have a range of applications in health care, sport, well-being, and workflow analysis. Conventional laboratory-based biomechanical analysis systems and observation-based tests are designed only to capture brief snapshots of the mechanics of movement. With recent developments...
This article describes the design and implementation of an electrogoniometer to measure joint angles during the execution of weight lifting exercises. The electrogoniometer consists of four microelectromechanical accelerometers connected to a microcontroller. The microcontroller is connected via USB to a computer. Preliminary tests show that the system offers high precision and accuracy at angle measurement...
We designed a simultaneous analysis system to measure eye and head-neck movement in the evaluation of unilateral spatial neglect (USN). Analysis was performed in one healthy subject and one USN patient with left homonymous hemianopsia. Synchronization of eye and head-neck movement enabled quantitative and qualitative analysis of these movements. Future studies are required to enhance the accuracy...
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