NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // ICCGI 2014, The Ninth International Multi-Conference on Computing in the Global Information Technology // View article iccgi_2014_1_40_10124


Transient State Analysis of the Multichannel EMG Signal Using Hjorth's Parameters for Identification of Hand Movements

Authors:
Michele Pla Mobarak
Juan Manuel Gutiérrez Salgado
Roberto Muñoz Guerrero
Valérie Louis-Dorr

Keywords: EMG steady state; EMG transient state; Hjorth's parameters; multichannel EMG; normalized slope descriptors

Abstract:
Most myoelectric controlled systems are based on the common assumption that there is no information in the instantaneous value of the myoelectric signal and therefore, analysis is made on the steady state of the muscle contraction. However, this control scheme faces two main drawbacks: users need to be trained in order to produce the sustained contractions, and the control signal can only be generated until the steady state is reached. Prosthetic devices with long actuating delays often result in users’ frustration and eventually, in the abandonment of the devices. As a proposed solution, analysis of the transient state of the electromyography (EMG) signal would allow classifying movements during the dynamic part of the muscle contractions reducing the time required to generate control commands. This paper proposes a novel method for transient EMG classification based on the use of Hjorth’s parameters. Surface multichannel EMG signals were recorded from 10 normally limbed subjects for both the transient and steady EMG states while performing six different hand motions. Comparatively high classification accuracy was obtained from the transient state analysis of the signals suggesting the existence of deterministic information in this part of the muscle contraction and the fact that Hjorth’s parameters seem to adapt well enough to the nature of myoelectric signals as to allow extracting highly representative information from them.

Pages: 24 to 30

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-346-9

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.