IoT-driven augmented reality and virtual reality systems in neurological sciences
Research in augmented and virtual reality in congregation with the Internet of Things has
opened many avenues in diagnosing and treating neurological disorders. Augmented reality …
opened many avenues in diagnosing and treating neurological disorders. Augmented reality …
[HTML][HTML] Teleoperated robotic arm movement using electromyography signal with wearable Myo armband
HF Hassan, SJ Abou-Loukh, IK Ibraheem - Journal of King Saud University …, 2020 - Elsevier
The primary purpose of this research is to move a 5-DoF Aideepen ROT3U robotic arm in
real-time based on the surface Electromyography (sEMG) signal obtained from a wireless …
real-time based on the surface Electromyography (sEMG) signal obtained from a wireless …
Fuzzy inference system (FIS)-long short-term memory (LSTM) network for electromyography (EMG) signal analysis
A wide range of application domains, s such as remote robotic control, rehabilitation, and
remote surgery, require capturing neuromuscular activities. The reliability of the application …
remote surgery, require capturing neuromuscular activities. The reliability of the application …
Intramuscular EMG feature extraction and evaluation at different arm positions and hand postures based on a statistical criterion method
Prostheses control using electromyography signals have shown promising aspects in
various fields including rehabilitation sciences and assistive technology controlled devices …
various fields including rehabilitation sciences and assistive technology controlled devices …
BIO‐inspired fuzzy inference system—For physiological signal analysis
When a person's neuromuscular system is affected by an injury or disease, Activities‐for‐
Daily‐Living (ADL), such as gripping, turning, and walking, are impaired …
Daily‐Living (ADL), such as gripping, turning, and walking, are impaired …
A novel neuroevolution model for emg-based hand gesture classification
Classification of hand gestures from multichannel surface electromyography (sEMG) has
been widely explored for the control of robotic prostheses. Several deep-learning algorithms …
been widely explored for the control of robotic prostheses. Several deep-learning algorithms …
Analysing the effect of robotic gait on lower extremity muscles and classification by using deep learning
Robotic gait training helps the nervous system recover and strengthen weak muscle groups.
Many studies in the literature show that applying robotic gait rehabilitation to patients with …
Many studies in the literature show that applying robotic gait rehabilitation to patients with …
High precision activity tracker based on the correlation of accelerometer and EMG data
Wearable biomedical electronics are a road opener for ubiquitous healthcare. In this context,
correlation of biomedical data acquired from different wearable sensors enable remote …
correlation of biomedical data acquired from different wearable sensors enable remote …
Design of an intelligent controller for myoelectric prostheses based on multilayer perceptron neural network
MN Raheema, JS Hussain… - IOP Conference Series …, 2020 - iopscience.iop.org
Myoelectric prostheses have been researched widely, and some cases have been
implemented to be used by amputees in real life. However, natural control of an active …
implemented to be used by amputees in real life. However, natural control of an active …
[PDF][PDF] A decision-making mechanism based on EMG signals and adaptive neural fuzzy inference system (ANFIS) for hand gesture prediction
DH Kısa, MA Özdemir, O Güren… - Journal of the Faculty of …, 2023 - researchgate.net
Purpose: The aim is to automatically predict 7 hand gestures using fuzzy logic (FL) and EMG
signals. Theory and Methods: EMG data were collected from 30 participants while they …
signals. Theory and Methods: EMG data were collected from 30 participants while they …