Fatigue estimation using a novel multi-fractal detrended fluctuation analysis-based approach

被引：17
|
作者：
Talebinejad, Mehran [1 ,2 ]
Chan, Adrian D. C. [2 ]
Miri, Ali [1 ]
机构：
[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
来源：
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY | 2010年 / 20卷 / 03期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Electromyography signal; Multi-fractal detrended fluctuation analysis; Muscle fatigue; Dynamic contractions; DYNAMIC CONTRACTIONS; CONDUCTION-VELOCITY; MUSCLE FATIGUE; SIGNALS;
D O I：
10.1016/j.jelekin.2009.06.002
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
This paper presents a novel multi-fractal detrended fluctuation analysis-based approach for fatigue estimation. This approach exploits the statistical self-similarity and long-range correlation of surface electromyography signals at different time scales in which the myoelectric manifestation of fatigue is more significant compared to the influence of varying force, muscle length (joint angle), and innervation zone. This approach provides a fatigue index which outperforms the conventional median frequency during cyclic and random contractions. This type of analysis is promising an efficient framework for analysis of surface electromyography signals with several potential applications. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：433 / 439
页数：7
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