synchronization of emg and grf measurement system using labview and matlab tools n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools PowerPoint Presentation
Download Presentation
Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools

Loading in 2 Seconds...

play fullscreen
1 / 16

Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools - PowerPoint PPT Presentation


  • 495 Views
  • Uploaded on

Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools. Moulali.P Central Scientific Instruments Organization (CSIO), Council for Scientific and Industrial Research (CSIR), Chandigarh, India. Overview. Introduction EMG VGRF Objective Methods & Materials

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools' - JasminFlorian


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
synchronization of emg and grf measurement system using labview and matlab tools

Synchronization of EMG and GRF Measurement System Using LabVIEW and Matlab Tools

Moulali.P

Central Scientific Instruments Organization (CSIO),

Council for Scientific and Industrial Research (CSIR), Chandigarh, India.

overview
Overview
  • Introduction
    • EMG
    • VGRF
  • Objective
  • Methods & Materials
    • Experimental set-up for data acquisition
    • Software Analysis
      • LabVIEW VI for data acquisition
      • Matlab Analysis
  • Results and Discussion
  • Conclusions
  • Future Work
  • References
1 introduction
1. INTRODUCTION

Raw EMG signal

  • EMG -Electromyography : study of muscle function through analysis of electrical signals emanated during muscular contraction.
  • VGRF-Vertical Ground Reaction Force: vertical component of force exerted on foot by the ground during walking.

Amplitude

(mv)

Time(ms)

Fz1

Fz3

Fz2

slide4

Four active EMG surface electrodes attached to right leg of subject over

  • gastrocnemius lateralis (GL)
  • tibialis anterior (TA)
  • biceps femoris (BF)
  • vastuslateralis (VL)

Biometrics SX230 active surface electrode

objective
Objective

Synchronizing EMG and VGRF data using LabVIEW software and analyzing the LabVIEW data with Matlab tool box.

  • Hardware and software development for acquisition of EMG and force plate data (VGRF) at a time.

Applications:

  • Displaying synchronized data in one panel side by side.
  • Acquired (synchronized) data provides comparison of VGRF & EMG data simultaneously.
materials methods
Materials & Methods

Experimental set-up

labview vi for data acquisition
LabVIEW VI for data acquisition
  • Synchronized data is acquired and stored in computer for further analysis
  • EMG data acquired directly and low pass filters used before acquiring GRF data

Block diagram of VI for synchronization of both EMG and force plate data.

matlab analysis
Matlab Analysis
  • Obtained data from LabVIEW is imported into Matlab tool for analysis.
  • It is observed that there is DC offset error in the raw EMG signal but no such effect is observed in in force signal.
  • Next the signal is rectified and passed through low pass filter and notch filter.
  • RMS, Mean and Median are calculated
  • From VGRF peak values are calculated by writing separate Matlab code
slide10

Raw EMG Signal

Elimination of DC Offset

Rectification

Low Pass Filtered Signal

Notch Filtered Signal

Time Domain

Frequency domain

Mean

Median

RMS

Flow chart showing steps involved in EMG signal analysis

results and discussion
Results and Discussion
  • To show results MATLAB Graphical User Interface (GUI) was developed.
  • Using GUI , synchronized data was loaded into the program and the required parameters of EMG and force data were evaluated.
conclusion
Conclusion
  • Analyzed data helps us to understand how GRF have stimulated the muscle activity.
  • Results obtained from analyzing module are exactly not matching to those obtained from the software that are provided along with those system. It is because the techniques used for analysis is not alike or some multiplication factor missing .
future scope
Future scope
  • Analysis module is in developing stage , so we are trying to incorporate a number of other parameters, which will enhance the performance of developed tool.
  • The parameter values are to be cross verified with standard reference tool.
references
References

[1]. Q.H Huang, Y.P Zheng, X.Chena, J.F He and J Shi (2007). A system for the synchronized recording of sonomyography, electromyography and joint angle. Open Biomed Eng J.2007; 1: (77-84).

[2]. Finch.A.E, Ariel G.A, and Penny A.M , Biomechanical integration of essential human movement parameters.

[3]. Levin.O, Mizrahil.J, Adam.D, Verbitsky.O and Isakov.E.(). On the correlation between force plate data and EMG in various standing conditions.

[4]. Sousa.F, Conceiltao.F, Gonltalyes.P, Carvalho.J.M, Soares.DScarrone.F, Loss.J, Vilas-Boas.J.P(2002). Biomechanical analysis of elementary ballet jumps; Integration of force plate data and EMG records. ISBS 2002, Caceres-Extremadura-Spain(175-178).