使用無線感測技術檢測和分析意外傷害及身障大學生的股四頭肌訓練成效

Using Wireless Sensor Technology to Detect and Analyze the Effect of Quadriceps Training on Accident and Disabilities College Students

林羽揚(Yu-Yang Lin)

指導教授 ： 陳瑞發

淡江大學/工學院/資訊工程學系碩士班/碩士(2014年)

https://doi.org/10.6846/TKU.2014.00072

摘要

人們越來越重視意外傷害及身障大學生的學習權益，於是許多大學專門加開特殊體育課程來保障意外傷害及身障大學生的體育課程，而這些特殊體育課程皆有別於一般的體育課程。但是，由於學生眾多，體育老師無法同時顧及到所有的學生在操作體育器材的狀況，甚至有些器材體育老師也無法以肉眼得知學生是否有運用到相關肌群。
本論文應用無線感測技術結合腿部推蹬機開發出股四頭肌無線感測系統，此系統可以紀錄使用者復健數據，並透過無線結合行動載具，輔助使用者判斷動作是否正確，即使專業人員不在旁邊陪伴，也有助於降低運動傷害的發生。當收集相關資料後，即可應用資料探勘技術於股四頭肌訓練成效分析，分析學生資料及相關訓練數據，找出可能影響股四頭肌訓練成效隱藏因子，提供老師做教學上的參考。

關鍵字

無線感測技術 ； 嵌入式系統 ； 腿部推蹬機 ； 股四頭肌

並列摘要

There is a growing emphasis on accident and disabled students' learning rights. So, many universities add special sports programs to protect accidental injury and sports courses for disabled students, and these special sports courses are different from the general education curriculum. However, there are many students, physical education teacher can’t simultaneously take into account the status of all students in the operation of sports equipment, and even some sport equipment that teacher can’t know whether the student has applied to the relevant muscles by naked eye.
In this thesis, the application of wireless sensor technology combined with the development of leg press machine quadriceps wireless sensor system. That can record the user rehabilitation data, through combining with the mobile device, assist the user to determine whether the action is correct. Even professionals are not next to the company, but also help to reduce the incidence of sports injuries. When the collection of relevant data, that can use data mining techniques in the quadriceps training effectiveness analysis, analysis of student data and related training data to identify stocks that may affect quadriceps training effectiveness hidden factor, providing a reference in teaching teachers.

並列關鍵字

Wireless sensor network ； Embedded system ； Leg press machine ； Quadriceps

參考文獻

[12] Shao-Yang Chang, "Using Data Mining in Urinary Incontinence Clinical Symptom Analysis," Tamkang University, 2013

[2] Samuel P. Lauermann, Karin Lienhard, Julia F. Glatthorn, Nicola C. Casartelli and Nicola A. Maffiuletti, "Assessment of quadriceps muscle weakness in patients after total knee arthroplasty and total hip arthroplasty: Methodological issues," Journal of Electromyography and Kinesiology, vol. 2,Issue 2, pp. 285-291, 2014

[3] Zachary J. Domire, Rhonda L. Boros and Javad Hashemi, "An examination of possible quadriceps force at the time of anterior cruciate ligament injury during landing: A simulation study," Journal of Biomechanics, 44(8):1630-2. doi: 10.1016/j.jbiomech.2011.03.001. May 2011

[5] Jocelyne Fayn, "A Classification Tree Approach for Cardiac Ischemia Detection Using Spatiotemporal Information From Three Standard ECG Leads," IEEE Transactions on Biomedical Engineering, vol. 58, no. 1, pp. 95-102, January 2011.

[6] Junghwan Cho, Xiaopeng Li, Zhiyong Gu, and Pradeep U. Kurup, "Recognition of Explosive Precursors Using Nanowire Sensor Array and Decision Tree Learning," IEEE Sensors Journal, vol. 12, no. 7, pp.2384-2391, July 2012.