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An Eigen Based Feature on Time-Frequency Representation of EMG

Biomedical Electronics Engineering. BIOSIS LAB, Department of Electronics, Faculty of Engineering. An Eigen Based Feature on Time-Frequency Representation of EMG. King Mongkut's Institute of Technology Ladkrabang,Thailand.

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An Eigen Based Feature on Time-Frequency Representation of EMG

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  1. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering An Eigen Based Feature on Time-Frequency Representation of EMG King Mongkut's Institute of Technology Ladkrabang,Thailand Direk Sueaseenak1,3, Theerasak Chanwimalueang2, Manas Sangworasil1, Chuchart Pintavirooj1 1Department of Electronics, Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand 2Biomedical Engineering Programme, Faculty of Engineering, Srinakharinwirot University, Nakhon-Nayok, Thailand 3Faculty of Medicine, Srinakharinwirot University, Nakhon-Nayok, Thailand www.bmekmitl.org

  2. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Publication& Present DirekSueaseenak, TheerasakChanwimalueang, ManasSangworasil, ChuchartPintavirooj, “An Eigen Based Feature on Time-Frequency Representation of EMG ” IEEE-RIVF 2009, Danang University of Technology, VietNam, July 13-17, 2009 www.bmekmitl.org

  3. 6 5 4 1 3 2 Feature Extraction SEMG BSS Conclusion SEMG Acquisition System Goal and objective of research Introduction to our research Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Outline King Mongkut's Institute of Technology Ladkrabang,Thailand www.bmekmitl.org

  4. I S Company Logo Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Biomedical,Image,Signal and System ( Biosis LAB ) King Mongkut's Institute of Technology Ladkrabang,Thailand Assoc.Prof.Dr.ChuchartPintavirooj Assoc.Prof.Dr.ManasSangworasil Mini CT EMG Analysis and Recognition Member M.Eng 10 คน Ph.D 6 คน Image reconstruction Infant Incubator Face & fingerprint recognition ECG monitor EEG and BCI UCT

  5. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand EMG Control Prosthesis Research Team Faculty of Medicine (SWU) Faculty of Engineering (KMITL) NiyomLaoopugsin ChuchartPintavirooj Faculty of Engineering(SWU) DirekSueaseenak(SWU+KMITL) ManasSangworasil Theerasak Chanwimalueang www.bmekmitl.org

  6. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Multi-channel EMG Pattern Classification(M.EngThesis) 4x4 EMG Sensor 16 channel EMG 16 ch FFT EMG 16 ch Raw EMG ∑ Area from 16 channel Spline Interpolation EMG Pattern www.bmekmitl.org

  7. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Hand Movement and EMG Pattern Radial flexion Ulnar flexion Wrist flexion Wrist extension Hand open Hand Close Wrist pronation Wrist supination www.bmekmitl.org

  8. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Classification Result www.bmekmitl.org

  9. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Disadvantage • System complexity • Impossible in real application www.bmekmitl.org

  10. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Goal of Research (Ph.D research) King Mongkut's Institute of Technology Ladkrabang,Thailand Portable EMG Signal Acquisition and Pre-processing EMG Feature Extraction Mechanical Control EMG Classification Feedback Control • Minimum :EMG Measurement Channel • Maximum :Accuracy Rate of EMG Classification • No complexity for Real Application www.bmekmitl.org

  11. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Object of Research King Mongkut's Institute of Technology Ladkrabang,Thailand EMG Acquisition System EMG Surface Electrode FAST ICA Separation Time-Frequency Analysis Eigen based Feature Extraction Feature 1 Feature 2 STFT ICA 1 STFT ICA 2 www.bmekmitl.org

  12. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Surface EMG Acquisition And Measurement System King Mongkut's Institute of Technology Ladkrabang,Thailand Publication DirekSueaseenak, TheerasakChanwimalueang, ManasSangworasil, ChuchartPintavirooj, “PSOC-BASED MULTICHANNEL ELECTROMYOGRAM ACQUISITION SYSTEM WITH APPLICATION IN MUSCULAR FATIGUE ASSESSMENT” Proceedings of ThaiBME2007, vol.1, pp. 110-114,2007. www.bmekmitl.org

  13. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Surface EMG Acquisition System King Mongkut's Institute of Technology Ladkrabang,Thailand Surface Electrode EMG Recorder Instrumentation Amplifier PSOC MCU (PGA,ADC,UART) www.bmekmitl.org

  14. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Surface EMG Placement King Mongkut's Institute of Technology Ladkrabang,Thailand Channel 1 Flexor carpiradialis Channel 2 Flexor carpiulnaris SWAROMED Al/AgClElectrode www.bmekmitl.org

  15. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering SEMG Signal King Mongkut's Institute of Technology Ladkrabang,Thailand Channel 1 Channel 2 www.bmekmitl.org

  16. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering SEMG Blind Source Separation“Independent Component Analysis” King Mongkut's Institute of Technology Ladkrabang,Thailand Publication DirekSueaseenak, TheerasakChanwimalueang, ManasSangworasil, ChuchartPintavirooj, “An Investigation of Robustness in Independent Component Analysis EMG” Proceedings of ECTI-CON2009, vol.2, pp. 1102-1105,2009. www.bmekmitl.org

  17. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Blind Source Separation : Cocktail Party Problem x = As The mathematical model of CPP : (2) X1(t)=A11S1+A12S2 X2(t)=A21S1+A22S2 (1) s = Wx (3) www.bmekmitl.org

  18. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand SEMG Blind Source Separation ICA Ch1 Ch2 x = As The mathematical model of CPP : (2) X1(t)=A11S1+A12S2 X2(t)=A21S1+A22S2 (1) s = Wx (3) www.bmekmitl.org

  19. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand “Nongaussian is Independent”: Central Limit Theorem X1(t)=A11S1+A12S2 X2(t)=A21S1+A22S2 x = As s = Wx www.bmekmitl.org

  20. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Measures of Nongaussianity Subgaussian • By kurtosis (4) • Subgaussian kurtosis < 0 • Superguassian kurtosis > 0 • Gaussian kurtosis = 0 Supergaussian www.bmekmitl.org

  21. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Process of ICA • Initialize W(Set the weight vector to • random values) • Newton 's method (until convergence) (5) G(u)=u3 • Normalization s = Wx (6) www.bmekmitl.org

  22. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering SEMG BSS Result King Mongkut's Institute of Technology Ladkrabang,Thailand Channel 1 Channel 2 ICA 2 ICA 1 www.bmekmitl.org

  23. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering SEMG Time-Frequency Analysis King Mongkut's Institute of Technology Ladkrabang,Thailand www.bmekmitl.org

  24. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Short-Time Fourier Transform (7) Source: http://www.clecom.co.uk www.bmekmitl.org

  25. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering STFT Result King Mongkut's Institute of Technology Ladkrabang,Thailand www.bmekmitl.org

  26. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Eigen based Feature Extraction www.bmekmitl.org

  27. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Concept of Moment (8) (9) www.bmekmitl.org

  28. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Concept of Moment(cont.) (10) (11) Where (12) www.bmekmitl.org

  29. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Concept of Moment(cont.) (13) (14) (15) (16) EMG Features = www.bmekmitl.org

  30. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering Eigen Feature Extraction Result King Mongkut's Institute of Technology Ladkrabang,Thailand www.bmekmitl.org

  31. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Quantitative measurement of robustness of ICA application www.bmekmitl.org

  32. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Conclusions • We used a multi-channel electromyogram acquisition system from previous work to acquire two channel surface electrodes on forearm muscles. and performed a blind signal separation by using an independent component analysis (ICA) technique. • We purposed the novel features extraction for the EMG contraction classification. Our features are based on Eigen-vector approach. The time-frequency analysis is applied on the time-frequency magnitude spectrum of the Independent component analysis EMG. The ratio between the two Eigen values are the novel features. www.bmekmitl.org

  33. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Simple EMG Robotic Control Experiment www.bmekmitl.org

  34. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand www.bmekmitl.org

  35. Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand Acknowledgment Faculty of Medicine SWU Office of the Higher Education Commission www.bmekmitl.org

  36. Company Logo Biomedical Electronics Engineering BIOSIS LAB, Department of Electronics, Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang,Thailand www.thaibme.org www.bmekmitl.org

  37. Thank You !

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