A review of control methods for electric power wheelchairs based on electromyography signals with special emphasis on pattern recognition

A Phinyomark, P Phukpattaranont… - IETE Technical …, 2011 - Taylor & Francis
Abstract Electric Power Wheelchairs (EPWs) are becoming increasingly important in
assistive technology and rehabilitation devices. Normally EPWs are controlled by a joystick …

Channel and feature selection for a surface electromyographic pattern recognition task

I Mesa, A Rubio, I Tubia, J De No, J Diaz - Expert Systems with Applications, 2014 - Elsevier
The objective of this research is to select a reduced group of surface electromyographic
(sEMG) channels and signal-features that is able to provide an accurate classification rate in …

Support vector wavelet adaptation for pathological voice assessment

NE Saeedi, F Almasganj, F Torabinejad - Computers in biology and …, 2011 - Elsevier
The presence of abnormalities in the vocal system affects the quality of the voice and
changes its characteristics. Digital analysis of pathological voices can be an effective and …

Wavelet adaptation for automatic voice disorders sorting

NE Saeedi, F Almasganj - Computers in biology and medicine, 2013 - Elsevier
Early diagnosis of voice disorders and abnormalities by means of digital speech processing
is a subject of interest for many researchers. Various methods are introduced in the …

Surface electromyography feature extraction based on wavelet transform

FA Mahdavi, SA Ahmad, MH Marhaban… - International …, 2012 - penerbit.uthm.edu.my
Considering the vast variety of EMG signal applications such as rehabilitation of people
suffering from some mobility limitations, scientists have done much research on EMG control …

Feature extraction for identification of extension and flexion movement of wrist using EMG signals

I Haider, M Shahbaz, M Abdullah… - 2015 IEEE 28th …, 2015 - ieeexplore.ieee.org
Electromyography (EMG) is an experimental technique developed for the purpose of
studying muscle movement. Information from raw EMG signals is extracted by application of …

[PDF][PDF] Technical Review

T Engineers - IETE Technical Review, 2009 - researchgate.net
Wireless communication systems have evolved over the ages. However, there are some
undesirable effects of a wireless communication channel on the signals transmitted through …

[PDF][PDF] Identification of Attention Deficit Hyperactivity Disorder Patients Using Wavelet-Based Features of EEG Signals

SK Shahraki, M Khezri - journals.iau.ir
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a neurological and psychiatric
disorder which causes to attention deficit, anxiety, hyperactivity and impulsive behaviors …

شناسایی بیماران نقص توجه-بیش فعال با استفاده از ویژگی‌های برمبنای موجک سیگنال‌های EEG

کریمی شهرکی, خضری - روش‌های هوشمند در صنعت برق, 2021‎ - journals.iau.ir
اختلال توجه-بیش فعالی (ADHD)، نوعی بیماری روانی توسعه عصبی است که باعث عدم توجه،
اضطراب، بیش فعالی و رفتارهای تکانشگری فرد می‌شود. این بیماری بیشتر درکودکان دیده …

[PDF][PDF] Myoelectric control techniques for a rehabilitation robot

A Smith - 2009 - repository.rit.edu
The work presented in this thesis consists primarily of two projects. The first project was the
design and development of a real time myoelectric controller using a pattern recognition …