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Virtual rehabilitation training system based on surface EMG feature extraction and analysis
Q Meng, J Zhang, X Yang - Journal of Medical Systems, 2019 - Springer
Aiming at the characteristics that electromyography (EMG) signals can reflect the human
body's motive intention and the information of muscle's motive state, this paper makes a …
body's motive intention and the information of muscle's motive state, this paper makes a …
Muscle fatigue detections during arm movement using EMG signal
Electromyography is a study of muscle function through the analysis of electrical signals
emanated during muscular and muscle contractions. In the post-stroke rehabilitation …
emanated during muscular and muscle contractions. In the post-stroke rehabilitation …
[HTML][HTML] Implementation of a portable electromyographic prototype for the detection of muscle fatigue
S De la Peña, A Polo, C Robles-Algarín - Electronics, 2019 - mdpi.com
Surface electromyography (sEMG) applied to the sports training area makes possible the
observation of fatigue as well as the generation of muscular strength, through the study of …
observation of fatigue as well as the generation of muscular strength, through the study of …
Real-time replication of arm movements using surface EMG signals
NA Chaya, BR Bhavana, SB Anoogna… - Procedia Computer …, 2019 - Elsevier
In this paper, a real time application to replicate nine arm movements is proposed. The two
important joints that are controlled are wrist and elbow. Electromyogram signals are …
important joints that are controlled are wrist and elbow. Electromyogram signals are …
Controlling the hand and forearm movements of an orthotic arm using surface EMG signals
S Kavya, MP Dhatri, R Sushma… - 2015 Annual IEEE …, 2015 - ieeexplore.ieee.org
For people affected by paralysis, a support system for moving the non-functional body parts
is highly essential. Automated orthotic arm is one such device. In the proposed work the …
is highly essential. Automated orthotic arm is one such device. In the proposed work the …
EMG Signal Classification Using Radial Basis Function Neural Network
Classification of electromyography (EMG) signals of human arm using Radial Basis Function
Neural Network (RBFNN) is presented. Using an 8-channel Myo armband, EMG signals are …
Neural Network (RBFNN) is presented. Using an 8-channel Myo armband, EMG signals are …
The efficacy of mechanical cervical traction for cervical spondylosis patients
The aim of this study is to analyse the efficacy of cervical traction for spondylosis patients
using wireless EMG sensor. Cervical spondylosis is a public health issue due to dizziness …
using wireless EMG sensor. Cervical spondylosis is a public health issue due to dizziness …