A Portable Reaching Pattern Analysis System for the Hemiplegics
| Autor: | Yun-Chung Yang, 楊允中 |
|---|---|
| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 Cerebral vascular accident (CVA, or stroke) is in the top three causes of death in Taiwan. About two-thirds of stroke survivors cannot use the upper limb in affective side to perform functional movements and daily life tasks. Therefore how to regain their upper limb function is a major focus. However before an effective treatment can be conducted, the residual upper limb function needs to be assessed. The most commonly used methods such as clinical instruments and kinematics movement analysis. However, these methods need to beperformed by well-train professional personnel. In this study, we try to implement a simple device to perform the upper limb function assessment both on time and frequency domain to help medical personnel to have more convenient and effective assessment. First improvement to the existing system is complete by replacing of the original system with a Linux based embedded system to reduce complexity and costs. A kinematics analysis software written by LabVIEW is used to extract the kinematic features such as speed, acceleration, distance, frequency. According the data obtained from the stroke survivor, the most effective features to represent the upper limb motor function of stroke survivors can be found and used as reference by the clinical therapists and achieve the purpose of simply the assessment of upper limb function. Kinematic data from 13 subject’s upper limbs (4 normal subject and 9 stroke patients) were collected in this study. According our results, we found significant differences between stroke patients and healthy individuals in acceleration and frequency but no significant difference within varying severities of functions loss in upper limbs. Maximal movement distances, maximal reaching speed, and time cost for reaching can be used to distinguish patients with different severities of function loss in upper limbs. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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