Fractal analysis features for weak and single-channel upper-limb EMG signals

Author:

Phinyomark Angkoon,Phukpattaranont Pornchai,Limsakul Chusak

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Identification of EMG signals using discriminant analysis and SVM classifier;Alkan;Expert Systems with Applications,2012

2. Scaling properties of image textures: A detrending fluctuation analysis approach;Alvarez-Ramirez;Physica A,2006

3. Arjunan, S. P. (2008). Fractal Features of Surface Electromyogram: A New Measure for Low Level Muscle Activation. Ph.D. Dissertation, RMIT University, Melbourne, Victoria, Australia.

4. Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors;Arjunan;Journal of NeuroEngineering and Rehabilitation,2010

5. Muscles alive: Their functions revealed by electromyography;Basmajian,1985

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