DETECTING THE USEFUL ELECTROMYOGRAM SIGNALS–EXTRACTING, CONDITIONING & CLASSIFICATION

Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 4

Abstract

Surface EMG is an important signal containing the information in form of electrical signals referred as myoelectric signals, used in designing & development of many prosthesis and clinical researches applications .Various methods can be applied to study or getting the useful data.

Authors and Affiliations

Mr. ROHTASH DHIMAN , SONAL DAHIYA HOODA

Keywords

Related Articles

An Approach with Maintainability, Structured Design and Automation with the Intension of Software Engineering

Scientific software must be personalized for dissimilar execution environments, problem sets, and existing resources to make sure its competence and consistency. Even though adaptation patterns be able to be found in a e...

CLASSIFICATION OF SELECTED APPLE FRUIT VARIETIES USING NAIVE BAYES

Manual sorting of apple fruit varieties results to high cost, subjectivity, tediousness and inconsistency associated with human beings. A means for distinguishing apple varieties is needed and therefore, some reliable te...

Mobile Adhoc Network(MANETS) : Proposed solution to Security Related Issues

Most of the research in MANETS has been focused on Routing issues. Security on the other hand has been given low priority. This paper provides an introduction to Mobile Adhoc Networks, Routing related issues and overview...

Different Views of Software Agent Paradigm

Agent modelling in software engineering is a relatively young area, and there are, as yet, no standard methodologies, development tools, or software architectures. Although our work is emphasized on to represent the agen...

Load and Energy Consumption based Scheduling Algorithm for Wireless Sensor Networks (LECSA)

Sleep/Wake up scheduling for Wireless Sensor Networks has become an essential part for its working. In this paper, the Low Energy Adaptive Clustering Hierarchy (LEACH) which introduced the concept of clustering in sensor...

Download PDF file
  • EP ID EP85916
  • DOI -
  • Views 187
  • Downloads 0

How To Cite

Mr. ROHTASH DHIMAN, SONAL DAHIYA HOODA (2011). DETECTING THE USEFUL ELECTROMYOGRAM SIGNALS–EXTRACTING, CONDITIONING & CLASSIFICATION. Indian Journal of Computer Science and Engineering, 2(4), 634-637. https://europub.co.uk/articles/-A-85916