Quantitative gait analysis for the assessment of strokes with mobility impairments based on tri-axial accelerometry

• Main Authors: CHOU, YEN-TING, 周彥廷
• Other Authors: WANG, WEN-FONG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/yfwkse

碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Stroke has a very serious impact on the patient's daily life. Among them, the ability to walk is the most important. To restore the ability of the patient to live, the recovery of the lower extremities is particularly important. In the clinic, often due to abnormal muscle strength or muscle tension in the lateral limb, the patient will have a poor gait. In addition to affecting physical function, the risk of falls will increase. Currently, techniques for collecting gait information fall into three categories: visual devices, pressure sensors, and wearable sensors. Most gait labs record the movements of subjects by many sophisticated instruments, but these devices are Constrained by the environment and expensive costs, wearable sensors with tri-axial acceleration are not only low-power and inexpensive, but also have the advantages of light weight and small size, and can collect gait data in an unrestricted environment. Can be closer to the daily life of the subjects. A total of 9 patients after the stroke were tested according to their daily habits of behavior. All the experiments were accompanied by professional physicians and their families. Wearing a three-axis acceleration module on the waist, left and right knee joints, left and right ankles and left and right insteps, a total of 7 positions, if you need to use the crutches plus crutches, a total of 8 positions. Walking on the 15-meter-long flat walkway at the walking speed of their daily lives, video cameras were collected as visual equipment signals. To quantify the gait acceleration signal of stroke patients as gait parameters, calculate gait correlation, and analyze the correlation of gait parameters for the Bronzer's grading scale, to see if it can be applied to the clinic to help physicians make judgments on the scale.