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Analysis and Classification of EMG signal Group Members: 1) Nur Hasanah  Bt Shafei 2) Nur Sabrina Bt Risman  3) Idayu Mohamed Bt Rasid 4) Kartini  Bt Ibrahim DSP Laboratory
PROBLEM STATEMENT ,[object Object]
OBJECTIVES ,[object Object],[object Object],[object Object],[object Object]
INTRODUCTIO N ,[object Object],[object Object],[object Object]
Figure 1: How to perform EMG instrument Figure 1 shows how to perform EMG instrument by placing the electrode at the muscle..  The input EMG signal can be captured nicely and useful for diagnosis if the placing of electrode heavily considered
Figure 2: Time & frequency graphs for different place of muscles The figure 2 below, show the different signals captured for different place of muscles.
METHODOLOGY Figure 3 : The  block  diagram of analysis of EMG signal.
[object Object],[object Object]
FLOW TO DESIGN THE SYSTEM Figure 4: The step involves for designing the complete system.
[object Object],[object Object]
Figure 5. The flow chart of Matlab Programming. The analysis and classification of EMG signal to differentiate the signal coming from which patient can be verified.
RESULT Figure 6: Input EMG signal in time domain
Figure 7  Power Spectrum
Figure 8 : To Display Result
Figure 7: Input EMG signal in time domain
Figure 8  Power Spectrum
Figure 9: To Display Result
Figure 10: Verify result on GUI for patient 1
Figure 11: Verify result on GUI for patient 2
DISCUSSION ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
CONCLUSION ,[object Object],[object Object],[object Object]
REFERENCES ,[object Object],[object Object],[object Object],[object Object],[object Object]

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PRESENTATION LAB DSP.Analysis & classification of EMG signal - DSP LAB

  • 1. Analysis and Classification of EMG signal Group Members: 1) Nur Hasanah Bt Shafei 2) Nur Sabrina Bt Risman 3) Idayu Mohamed Bt Rasid 4) Kartini Bt Ibrahim DSP Laboratory
  • 2.
  • 3.
  • 4.
  • 5. Figure 1: How to perform EMG instrument Figure 1 shows how to perform EMG instrument by placing the electrode at the muscle.. The input EMG signal can be captured nicely and useful for diagnosis if the placing of electrode heavily considered
  • 6. Figure 2: Time & frequency graphs for different place of muscles The figure 2 below, show the different signals captured for different place of muscles.
  • 7. METHODOLOGY Figure 3 : The block diagram of analysis of EMG signal.
  • 8.
  • 9. FLOW TO DESIGN THE SYSTEM Figure 4: The step involves for designing the complete system.
  • 10.
  • 11. Figure 5. The flow chart of Matlab Programming. The analysis and classification of EMG signal to differentiate the signal coming from which patient can be verified.
  • 12. RESULT Figure 6: Input EMG signal in time domain
  • 13. Figure 7 Power Spectrum
  • 14. Figure 8 : To Display Result
  • 15. Figure 7: Input EMG signal in time domain
  • 16. Figure 8 Power Spectrum
  • 17. Figure 9: To Display Result
  • 18. Figure 10: Verify result on GUI for patient 1
  • 19. Figure 11: Verify result on GUI for patient 2
  • 20.
  • 21.
  • 22.
  • 23.