Evaluation of Knee Activities Using EMG Signals for Pre-Predicting Lower Limb Dystonia Diseases

International Journal of Intelligent Engineering and Systems - Japan
doi 10.22266/ijies2018.1231.16
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Intelligent Networks and Systems Society

Related search

Evaluating Spatial Characteristics of Upper-Limb Movements From EMG Signals

IFMBE Proceedings
BioengineeringBiomedical Engineering
2014English

Frequency Analysis of Lower Extremity Electromyography Signals for the Quantitative Diagnosis of Dystonia

Journal of Electromyography and Kinesiology
NeuroscienceNeurologySports ScienceBiophysics
2014English

Modeling of Surface EMG Signals Using System Identification Techniques

International Journal of Engineering Research and
2015English

Lower Limb Salvage Surgery Using Ilizarov Circular External Frame for a Landmine Injury About the Knee

Eklem Hastaliklari ve Cerrahisi
SurgeryOrthopedicsSports MedicineRehabilitation
2013English

Robot Arm Control Method Using Forearm EMG Signals

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2020English

Active Interaction Control Applied to a Lower Limb Rehabilitation Robot by Using EMG Recognition and Impedance Model

Industrial Robot
ControlSystems EngineeringComputer Science ApplicationsIndustrialManufacturing Engineering
2014English

Robot Control Using Electromyography (EMG) Signals of the Wrist

Applied Bionics and Biomechanics
MedicineBioengineeringBiomedical EngineeringBiotechnology
2005English

Clinical Comparison of Elastic Supports for Venous Diseases of the Lower Limb.

Postgraduate Medical Journal
Medicine
1984English

The Design of a Hemiplegic Upper Limb Rehabilitation Training System Based on Surface EMG Signals

Journal of Advanced Mechanical Design, Systems and Manufacturing
IndustrialMechanical EngineeringManufacturing Engineering
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy