Computation of fractal features based on the fractal analysis of surface Electromyogram to estimate force of contraction of different muscles-Reference-Cited by-同舟云学术

Computation of fractal features based on the fractal analysis of surface Electromyogram to estimate force of contraction of different muscles

Published:2012-04-19 Issue:3 Volume:17 Page:210-216
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Poosapadi Arjunan Sridhar,Kumar Dinesh Kant

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10255842.2012.675055

Reference28 articles.

1. Singularity Characteristics of Needle EMG IP Signals

2. Fractal dimension of electromyographic signals recorded with surface electrodes during isometric contractions is linearly correlated with muscle activation

3. BasmajianJ, de LucaCJ. 1985. Muscles alive: their functions revealed by electromyography. 5th ed.Baltimore, MD: Williams & Wilkins.

4. Vastus medialis cross-sectional area is positively associated with patella cartilage and bone volumes in a pain-free community-based population

5. ChenB, WangN. 2000. Determining EMG embedding and fractal dimensions and its application. In: Proceedings of the 22nd Annual EMBS International Conference, Chicago IL USA. p. 1341–1344.

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