1. Moulali.P Central Scientific Instruments Organization (CSIO), Council for Scientific and Industrial Research (CSIR), Chandigarh, India.

2. 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 May 11, 2010

3. 1. INTRODUCTION 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. Fz1 Fz2 Fz3 Time(ms) Amplitude (mv) Raw EMG signal May 11, 2010

4. Four active EMG surface electrodes attached to right leg of subject over i. gastrocnemius lateralis (GL) ii. tibialis anterior (TA) iii. biceps femoris (BF) iv. vastus lateralis (VL) May 11, 2010 Biometrics SX230 active surface electrode

5. 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. May 11, 2010

6. Materials & Methods Experimental set-up May 11, 2010

7. Subject with EMG electrodes walking over the Kistler force plate

8. 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. May 11, 2010

9. 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 May 11, 2010

10. Raw EMG Signal Low Pass Filtered Signal Notch Filtered Signal Time Domain Frequency domain RMS Mean Median Flow chart showing steps involved in EMG signal analysis May 11, 2010

11. 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. May 11, 2010

12. Developed GUI for analysis of synchronized EMG and force data May 11, 2010

13. 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. May 11, 2010

14. 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. May 11, 2010

15. 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). May 11, 2010

16. THANK YOU May 11, 2010