Journal ArticleDOI
Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders
TLDR
A novel PSO-SVM model has been proposed that hybridized the particle swarm optimization (PSO) and SVM to improve the EMG signal classification accuracy and validate the superiority of the SVM method compared to conventional machine learning methods.About:
This article is published in Computers in Biology and Medicine.The article was published on 2013-06-01. It has received 422 citations till now. The article focuses on the topics: Support vector machine & Wavelet.read more
Citations
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Journal ArticleDOI
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
TL;DR: This survey presented a comprehensive investigation of PSO, including its modifications, extensions, and applications to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology.
Journal ArticleDOI
A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions.
Nurhazimah Nazmi,Mohd Azizi Abdul Rahman,Shin-ichiroh Yamamoto,Siti Anom Ahmad,Hairi Zamzuri,Saiful Amri Mazlan +5 more
TL;DR: An overview of the numerous methods available to recognize motion patterns of EMG signals for both isotonic and isometric contractions is given and various signal analysis methods are compared by illustrating their applicability in real-time settings.
Journal ArticleDOI
Congestive heart failure detection using random forest classifier
Zerina Mašetić,Abdulhamit Subasi +1 more
TL;DR: Impressive performance of random forest method proves that it plays significant role in detecting congestive heart failure (CHF) and can be valuable in expressing knowledge useful in medicine.
Journal ArticleDOI
Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability
TL;DR: Remaining useful life values have been predicted here by using the hybrid PSO–SVM-based model from the remaining measured parameters (input variables) for aircraft engines with success.
Journal ArticleDOI
Comparison of decision tree algorithms for EMG signal classification using DWT
Ercan Gokgoz,Abdulhamit Subasi +1 more
TL;DR: The proposed framework for classification of EMG signals using multiscale principal component analysis (MSPCA) for de-noising, discrete wavelet transform (DWT) for feature extraction and decision tree algorithms for classification can be used to support clinicians for diagnosis of neuromuscular disorders.
References
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Book
The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Book
Data Mining: Practical Machine Learning Tools and Techniques
TL;DR: This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining.