Appling mathematical modeling for knee joint vibration signal analysis of weightlifters
Date Issued
2004
Date
2004
Author(s)
Lee, Feng-Chih
DOI
zh-TW
Abstract
The athletes’ knee joint is neither normal knee joint nor abnormal knee joint because the exercise training program causes structural adjustment of the athletes’ body. This thesis is divided into two topics. The first topic is aimed to discuss difference between two groups of weightlifters before and after competition, which have different muscle strength ratio. The second topic considers the difference of knee joint among normal people, basketball players and weightlifters.
We apply vibration arthrometry(VAM) to collect the vibration signals of the patellar and use adaptive segmentation and autoregressive model to analyze the vibration signals. The VAM is a noninvasive, simple and cheap diagnostic tool. It is a suitable diagnostic tool for athletes because it is not restricted by the time and space and doesn’t influence the training schedule of athletes.
The subjects of this thesis were 27 normal people, 20 basketball players and 20 weightlifters. Repeated measure one-way ANOVA was used to compare mean difference of weightlifters at before and after the competitions. Turkey post hoc t-comparison was used to analyze the data if there was a significant difference. Two-way ANOVA mixed design was used to analyze the interaction between muscle strength ratio and the time before and after competition. Turkey post hoc t-comparison was used to analyze the data if there was a significant difference. One-way ANOVA was used to compare mean difference among normal people, basketball players and weightlifters.
We use signal processing, physiological characteristics of knee joint and sport science and training to explain experiment results. The experiment results show that RMS value could distinguish normal people and athletes (basketball players and weightlifters) because of the cartilage erosion of athletes’. The spectral power ratio of dominant pole could distinguish weightlifters with high muscle strength ratio at before and after competition. In this thesis, we observe that the change of muscular strength of leg of weightlifters has an influence on spectral power ratio of dominant pole.
Subjects
可適性區段
獨立樣本單因子變異術分析
混合設計二因子變異術分析
相依樣本單因子變異術分析
膝關節
關節振動量測術
自回歸模型
舉重選手
肌力比
repeated measure one-way ANOVA
adaptive segmentation
one-way ANOVA
two-way ANOVA mixed design
autoregressive model(AR model)
weightlifters
muscle strength ratio
knee joint
vibration arthrometry(VAM)
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-93-R91942064-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):776fca40e5e68c20db55f6e02b903f92