Advances in electromyogram signal classification to improve the quality of life for the disabled and aged people
The social demands for the Quality Of Life (QOL) are increasing with the exponentially expanding silver generation. To improve the QOL of the disabled and elderly people, robotic researchers and biomedical engineers have been trying to combine their techniques into the rehabilitation systems. Vario...
Main Authors: | Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2010
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/5616/1/Advances_in_Electromyogram_Signal_Classification_to_Improve_the_Quality_of_Life_for_the_Disabled_and_Aged_People.pdf |
Similar Items
-
EMG signal classification for human computer interaction: a review
by: Ahsan, Md. Rezwanul, et al.
Published: (2009) -
VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
by: Ahsan, Md. Rezwanul, et al.
Published: (2011) -
Design and performance analysis of artificial neural network for hand motion detection from EMG signals
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013) -
Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
by: Ahsan, Md. Rezwanul, et al.
Published: (2011) -
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)