Applications of artificial neural nets in clinical biomechanics

WI Schöllhorn - Clinical Biomechanics, 2004 - Elsevier
The purpose of this article is to provide an overview of current applications of artificial neural
networks in the area of clinical biomechanics. The body of literature on artificial neural …

Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

A Subasi - Computers in biology and medicine, 2013 - Elsevier
Support vector machine (SVM) is an extensively used machine learning method with many
biomedical signal classification applications. In this study, a novel PSO-SVM model has …

A new strategy for multifunction myoelectric control

B Hudgins, P Parker, RN Scott - IEEE transactions on …, 1993 - ieeexplore.ieee.org
A novel approach to the control of a multifunction prosthesis based on the classification of
myoelectric patterns is described. It is shown that the myoelectric signal exhibits a …

[图书][B] Handbook of bioinspired algorithms and applications

S Olariu, AY Zomaya - 2005 - books.google.com
This authoritative handbook reveals the connections between bioinspired techniques and
the development of solutions to problems that arise in diverse problem domains. It provides …

[HTML][HTML] Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders

E Gokgoz, A Subasi - Journal of medical systems, 2014 - Springer
Different approaches have been applied for quantitative analysis of EMG signals. This study
introduces the effect of Multiscale Principal Component Analysis (MSPCA) denoising …

[图书][B] Computational intelligence in biomedical engineering

R Begg, DTH Lai, M Palaniswami - 2007 - taylorfrancis.com
As in many other fields, biomedical engineers benefit from the use of computational
intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even …

Classification of EMG signals by BFA-optimized GSVCM for diagnosis of fatigue status

Q Wu, C Xi, L Ding, C Wei, H Ren… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In this paper, a novel bacterial foraging algorithm (BFA)-Gaussian support vector classifier
machine (GSVCM) model was proposed to improve the fatigue classification accuracy of …

Use of ann and hjorth parameters in mental-task discrimination

M Vourkas, S Micheloyannis… - 2000 First International …, 2000 - ieeexplore.ieee.org
Over the past three decades, various computational methods have been developed for
electroencephalographic (EEG) signal analysis. In addition, methods based on statistical …

[HTML][HTML] A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines

A Subasi - Signal, Image and Video Processing, 2015 - Springer
Support vector machines (SVMs) have been widely used in many pattern recognition
problems. Generally, the performance of SVM classifiers is affected by the selection of the …

Hybrid BF–PSO and fuzzy support vector machine for diagnosis of fatigue status using EMG signal features

Q Wu, JF Mao, CF Wei, S Fu, R Law, L Ding, BT Yu… - Neurocomputing, 2016 - Elsevier
In this study, a novel BF–PSO–FSVCM model has been proposed to identify the fatigue
status of the electromyography (EMG) signal. To improve the classifier accuracy of fuzzy …