Spectral analysis of knee vibroarthrographic signals in asymptomatic chondromalacia patella

机译：无症状性软骨软化症knee骨的膝关节纤颤信号频谱分析

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Early stage of chondromalacia patella is usually asymptomatic. Detection of chondromalacia patella sooner can delay further cartilage degeneration by appropriate exercise prescription and behavioral change. The purpose of this study is to preliminary examine asymptomatic subjects and investigate the knee vibroarthrographic (VAG) signals in order to suggest possible parameters to detect chondromalacia patella at the early stage. Frequency characteristics of the signals which include energy and the summing of spectral power in each 500 Hz frequency band were observed. Energy and spectral power of the VAG signals with chondromalacia patella were obviously higher than normal VAG signals, particularly in the high frequency bands (higher than 500 Hz). VAG signal is therefore a promising tool in detection of early stage chondromalacia patella.

机译：软骨软化cia骨的早期通常无症状。通过适当的运动处方和行为改变，及早发现软骨软化骨可延迟进一步的软骨变性。这项研究的目的是初步检查无症状的受试者，并研究膝关节纤颤（VAG）信号，以提出早期检测软骨软化骨的可能参数。观察到信号的频率特性，包括每个500 Hz频带中的能量和频谱功率之和。软骨软化骨的VAG信号的能量和频谱功率明显高于正常VAG信号，特别是在高频段（高于500 Hz）。因此，VAG信号是检测早期软骨软化cia骨的有前途的工具。

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来源
《2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences》|2016年|110-114|共5页
会议地点 Pullman Bangsar(MY)
作者
Kulwanee Meedeng; Warakorn Charoensuk; Korakod Panich; Kakanand Srungboonmee;
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作者单位

Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakornpathom, Thailand;

Department of Electrical Engineering, Faculty of Engineering, Mahidol University, Nakornpathom, Thailand;

College of Sports Science and Technology, Mahidol University, Nakornpathom, Thailand;

Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Nakornpathom, Thailand;

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正文语种 eng
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关键词
Time series analysis; Time-domain analysis; Finite impulse response filters; Biomedical engineering; Time-frequency analysis; Conferences;

机译：时间序列分析;时域分析;有限冲激响应滤波器;生物医学工程;时频分析;会议;

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2. Screening of knee-joint vibroarthrographic signals using time and spectral domain features [J] . Shidore Mrunal M., Athreya Shreeram S., Deshpande Shantanu, Biomedical signal processing and control . 2021,第Pta2期

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3. Analysis and multiclass classification of pathological knee joints using vibroarthrographic signals [J] . Krzysztof Kr?cisz, Dawid B?czkowicz Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2018,第期

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4. Spectral analysis of knee vibroarthrographic signals in asymptomatic chondromalacia patella [C] . Kulwanee Meedeng, Warakorn Charoensuk, Korakod Panich, IEEE-EMBS Conference on Biomedical Engineering and Sciences . 2016

机译：无症状软骨癌髌骨膝关节脉冲信号的光谱分析
5. Adaptive signal processing techniques for analysis of knee joint vibroarthrographic signals. [D] . Krishnan, Sridhar. 1999

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6. Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification [O] . Adam Łysiak, Anna Froń, Dawid Bączkowicz, 2020

机译：vibroarthrographic信号光谱特征在5级膝关节分类中
7. Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis [O] . Wu Yunfeng, Yang Shanshan, Zheng Fang, 2014

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Spectral analysis of knee vibroarthrographic signals in asymptomatic chondromalacia patella

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