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

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The document discusses analyzing and classifying EMG signals from different patients. It presents the objectives of identifying signal characteristics, analyzing power spectra to define parameters for patient identification, and implementing a rule-based classifier. The methodology block diagram shows receiving EMG signals from two patients and identifying the signal source. Key steps are identifying signal characteristics, generating power spectra using FFT, extracting parameters, and using these as classifier inputs to differentiate patients. Results figures show input signals, power spectra, and the system verifying classification of signals from two patients.

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

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.

FLOW TO DESIGN THE SYSTEM Figure 4: The step involves for designing the complete system.

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: Input EMG signal in time domain

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

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.

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

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21.

22.

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

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