Hybrid soft computing systems for electromyographic signals analysis: a review

HB Xie, T Guo, S Bai, S Dokos - Biomedical engineering online, 2014 - Springer
Electromyographic (EMG) is a bio-signal collected on human skeletal muscle. Analysis of
EMG signals has been widely used to detect human movement intent, control various …

Artificial intelligence based on fuzzy logic for the analysis of human movement in healthy people: a systematic review

BN Lima, P Balducci, RP Passos, C Novelli… - Artificial Intelligence …, 2021 - Springer
Technological advances that involve computing and artificial intelligence (AI) have led to
advances in analysis methods. Fuzzy logic (FL) serves as a qualitative interpretation tool for …

Estimation of ankle joint torque and angle based on S-EMG signal for assistive rehabilitation robots

P Baby Jephil, P Acharaya, L Xu, K Guo, H Yu… - … Processing: Advances in …, 2020 - Springer
Abstract Surface Electromyography (S-EMG) has shown the advantages of robotic
rehabilitation. Robotic rehabilitation can be significantly improved if the intended body …

Novel hybrid soft computing pattern recognition system SVM–GAPSO for classification of eight different hand motions

F AlOmari, G Liu - Optik, 2015 - Elsevier
In this manuscript, we proposed an intelligent hybrid pattern recognition system to classify
eight hand motions. Two evolutionary algorithms: genetic algorithm (GA) and particle swarm …

[PDF][PDF] Modelling and control human arm with fuzzy-genetic muscle model based on reinforcement learning: The muscle activation method

FN Rahatabad - International Clinical Neuroscience Journal, 2020 - sid.ir
Background: The central nervous system (CNS) is optimizing arm movements to reduce
some kind of cost function. Simulating parts of the nervous system is one way of obtaining …

Combination of reinforcement learning and bee algorithm for controlling two-link arm with six muscle: simplified human arm model in the horizontal plane

F Nowshiravan Rahatabad, P Rangraz - Physical and Engineering …, 2020 - Springer
The aim of this study was to improve reinforcement learning algorithm by combining artificial
bee colony algorithm. The traditional method of reinforcement learning algorithm has a very …

Development of a human head and neck muscle activation control model based on BPNN

J Huang, Y Xu, X Peng, L Hu… - Journal of Intelligent & …, 2018 - content.iospress.com
With the development of vehicle active safety technology and its combination with passive
safety technologies, there is a need for an updated tool to assess the performance of vehicle …

Relationship between Muscle Synergies and Skills of Basketball Players.

FN Rahatabad, K Maghooli… - … -I Fīzīk-I Pizishkī-i Īrān, 2021 - search.ebscohost.com
Introduction:" Muscular synergy" is one of the methods for determining the relationship
between the central nervous system and muscles which are involved in performing a …

[PDF][PDF] Indexed bibliography of genetic algorithms in medicine

JT Alander - University of Vaasa, Department of Electrical …, 2012 - researchgate.net
An Indexed Bibliography of Genetic Algorithms in Medicine Page 1 An Indexed Bibliography of
Genetic Algorithms in Medicine compiled by Jarmo T. Alander Department of Electrical …

A heuristic force model for haptic simulation of nasogastric tube insertion using fuzzy logic

KS Choi, XJ He, VCL Chiang, Z Deng… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally
performed on rubber mannequins albeit practical limitations. Computer simulation with …