Signal processing of EMG signal for continuous thumbangle
estimation

QR Code

Signal processing of EMG signal for continuous thumbangle estimation

Human hand functions range from precise-minute handling to heavy and robust movements. Developing an artificial thumb which can mimic the actions of a real thumb precisely is a major achievement. Despite many efforts dedicated to this area of research, control of artificial thumb movements in r...

Full description

Bibliographic Details
Main Authors:	Siddiqi, Abdul Rahman, Sidek, Shahrul Naim, Khorshidtalab, Aida
Format:	Proceeding Paper
Language:	English English
Published:	IEEE 2016
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/52509/ http://irep.iium.edu.my/52509/14/52509-Signal%20processing%20of%20EMG%20signal%20for%20continuous%20thumb-angle%20estimation_SCOPUS.pdf http://irep.iium.edu.my/52509/15/52509-updated.pdf

Similar Items

Signal processing of EMG signal for continuous thumb-angle estimation
by: Siddiqi, Abdul Rahman, et al.
Published: (2015)

Mapping of EMG signal to hand grip force at varying wrist angles
by: Sidek, Shahrul Na'im, et al.
Published: (2012)

Portable thumb training system for EMG signal measurement and analysis
by: Roslan, Muhammad Rozaidi, et al.
Published: (2016)

EMG based continuous thumb-tip force model for prostheses design
by: Siddiqi, Abdul Rahman, et al.
Published: (2017)

EMG based classification for continuous thumb angle and force prediction
by: Siddiqi, Abdul Rahman, et al.
Published: (2015)

Classifying motion intention from EMG signal: A kNN approach
by: Mohd Khairuddin, Ismail, et al.
Published: (2020)

Noninversive EMG signals measurement and control of robotic system for rehabilitation
by: Sidek, Shahrul Na'im, et al.
Published: (2011)

Measurement system to study the relationship between forearm EMG signals and hand grip force
by: Sidek, Shahrul Naim, et al.
Published: (2012)

The study of time domain features of EMG signals for detecting driver’s drowsiness
by: Faradila, Naim, et al.
Published: (2022)

Optimization of neural network for efficient EMG signal classification
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)

Wavelet based noise removal from EMG signals
by: Chowdhury, Md. Sazzad Hossien, et al.
Published: (2007)

The use of artificial neural network in the classification of EMG signals
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)

Estimation of continuous thumb angle and force using electromyogram classification
by: Siddiqi, Abdul Rahman, et al.
Published: (2016)

Techniques of EMG signal analysis: detection, processing, classification and applications
by: Reaz, M. B. I., et al.
Published: (2006)

Wavelet based noise removal from EMG signals
by: Hussain, M. S., et al.
Published: (2007)

Gripping motion of artificial hand using EMG signal
by: Mat Rosly, Muhammad Hadi, et al.
Published: (2016)

Harnessing bio-signals for advanced man-machine applications
by: Sidek, Shahrul Na'im
Published: (2018)

VHDL modelling of fixed-point DWT for the purpose of EMG signal denoising
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)

Advanced noise removal techniques for the detection of EMG signal
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)

Surface EMG (Electrical Signal) based fatigue analysis during repetitive work
by: Wan Nurul Syahirah, Wan Lanang
Published: (2015)

Parameter estimation of multicomponent transient signals using deconvolution and ARMA modelling techniques
by: Salami, Momoh Jimoh Emiyoka, et al.
Published: (2003)

Dual-layer ranking feature selection method based on statistical formula for driver fatigue detection of EMG signals
by: Faradila, Naim, et al.
Published: (2022)

VHDL modeling of EMG signal classification using artificial neural network
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)

EMG signal classification for human computer interaction: a review
by: Ahsan, Md. Rezwanul, et al.
Published: (2009)

Classification of surface EMG signals for early signs of prolonged fatigue
by: Jamaluddin, Nurul Fauzani
Published: (2017)

Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN)
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)

A step towards the development of VHDL model for ANN based EMG signal classifier
by: Ahsan, Md. Rezwanul, et al.
Published: (2012)

Electromyograph (EMG) signal analysis to predict muscle fatigue during driving
by: Muhammad Amzar Syazani, Mohd Azli, et al.
Published: (2018)

Pre-processing of Multi-channel sEMG Signals Based on ICA and Spectral Curve Descriptors
by: Lee, Wai Lee, et al.
Published: (2010)

Hand motion detection from EMG signals by using ANN based classifier for human computer interaction
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)

Age Related Differences in the Surface EMG Signals on Adolescent's Muscle during Contraction
by: Ahamed, Nizam Uddin, et al.
Published: (2016)

A review of classification techniques of EMG signals during isotonic and isometric contractions
by: Nazmi, Nurhazimah, et al.
Published: (2016)

Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
by: Jalaludin, Nor Anija, et al.
Published: (2012)

Assessment on stationarity of EMG signals with different windows size during isotonic contractions
by: Nazmi, Nurhazimah, et al.
Published: (2017)

Physiological signal – based Engagement Level Analysis under fuzzy framework
by: Ismail, Elliana, et al.
Published: (2013)

Neural network classifier for hand motion detection from EMG signal
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2011)

EMG signal classification techniques for the development of human computer interaction system
by: Ahsan, Md. Rezwanul, et al.
Published: (2011)

Flexible bio-signals channels acquisition system for ECG and EMG application
by: Jamaluddin, Nurul Fauzani, et al.
Published: (2014)