Feature extraction of surface electromyography (sEMG) and signal processing technique in wavelet transform: A review
暂无分享,去创建一个
[1] Mehran Jahed,et al. Real-time intelligent pattern recognition algorithm for surface EMG signals , 2007, Biomedical engineering online.
[2] R.N. Scott,et al. A new strategy for multifunction myoelectric control , 1993, IEEE Transactions on Biomedical Engineering.
[3] Norali Ahmad Nasrul,et al. Surface Electromyography signal processing and application: a review , 2009 .
[4] Feng Duan,et al. Comparison of sEMG-based feature extraction and hand motion classification methods , 2015, 2015 11th International Conference on Natural Computation (ICNC).
[5] Henry M. Manik,et al. Signal Processing for Marine Acoustic and Dolphin Using Matlab , 2016 .
[6] Miloš Daković,et al. From the STFT to the Wigner Distribution , 2013 .
[7] Pornchai Phukpattaranont,et al. Feature reduction and selection for EMG signal classification , 2012, Expert Syst. Appl..
[8] Tanu Sharma,et al. A novel feature extraction for robust EMG pattern recognition , 2016, Journal of medical engineering & technology.
[9] S. Micera,et al. Characterization of a New Type of Dry Electrodes for Long-Term Recordings of Surface-Electromyogram , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.
[10] Igor Meglinski,et al. Application of wavelet analysis in optical coherence tomography for obscured pattern recognition , 2009 .
[11] Levi J. Hargrove,et al. Comparison of surface and intramuscular EMG pattern recognition for simultaneous wrist/hand motion classification , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[12] Makoto Mizukawa,et al. Electromyography (EMG) based signal analysis for physiological device application in lower limb rehabilitation , 2015, 2015 2nd International Conference on Biomedical Engineering (ICoBE).
[13] Lu Wang,et al. Study on fatigue feature from forearm SEMG signal based on wavelet analysis , 2010, 2010 IEEE International Conference on Robotics and Biomimetics.
[14] Carlo J De Luca,et al. Inter-electrode spacing of surface EMG sensors: reduction of crosstalk contamination during voluntary contractions. , 2012, Journal of biomechanics.
[15] Xu Zhang,et al. Application of wavelet packet transform on myoelectric pattern recognition for upper limb rehabilitation after stroke , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[16] Angkoon Phinyomark,et al. EMG feature evaluation for improving myoelectric pattern recognition robustness , 2013, Expert Syst. Appl..
[17] Jun Yu,et al. Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study , 2000, IEEE Transactions on Biomedical Engineering.
[18] A. Phinyomark,et al. Improving Class Separability of Frequency-domain Features for EMG Pattern Recognition , 2013 .
[19] G. C. Nandi,et al. Indian Sign Language gesture recognition using Discrete Wavelet Packet Transform , 2014, 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014).
[20] Chee-Meng Chew,et al. Novel time-frequency approach for muscle fatigue detection based on sEMG , 2012, 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS).
[21] L. R. Altimari,et al. Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[22] Hsueh-Hsien Chang,et al. Feature Selection of Non-intrusive Load Monitoring System Using STFT and Wavelet Transform , 2011, 2011 IEEE 8th International Conference on e-Business Engineering.
[23] A. Phinyomark,et al. Application of Wavelet Analysis in EMG Feature Extraction for Pattern Classification , 2011 .
[24] L. R. Altimari,et al. Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[25] Muhammad Abdullah,et al. Feature extraction for identification of extension and flexion movement of wrist using EMG signals , 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).
[26] Dinesh Bhatia,et al. siGnum: Graphical user interface for EMG signal analysis , 2015, Journal of medical engineering & technology.
[27] Srdjan Stankovic,et al. From the STFT to the Wigner Distribution [Lecture Notes] , 2014, IEEE Signal Processing Magazine.
[28] Mamun Bin Ibne Reaz,et al. Surface Electromyography Signal Processing and Classification Techniques , 2013, Sensors.
[29] I. Elamvazuthi,et al. Surface electromyography (sEMG) feature extraction based on Daubechies wavelets , 2013, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).
[30] Xun Chen,et al. Pattern recognition of number gestures based on a wireless surface EMG system , 2013, Biomed. Signal Process. Control..
[31] Mikhail Kuznetsov,et al. Filtering the surface EMG signal: Movement artifact and baseline noise contamination. , 2010, Journal of biomechanics.
[32] Rubita Sudirman,et al. ELECTROMYOGRAPHY SIGNAL ON BICEPS MUSCLE IN TIME DOMAIN ANALYSIS , 2014 .
[33] Jian Huang,et al. A real-time EMG pattern recognition method for virtual myoelectric hand control , 2014, Neurocomputing.
[34] Shaoqiu Xiao,et al. Time-frequency analysis system based on temporal Fourier transform , 2015, 2015 IEEE International Conference on Communication Problem-Solving (ICCP).
[35] Abdulhamit Subasi,et al. Comparison of decision tree algorithms for EMG signal classification using DWT , 2015, Biomed. Signal Process. Control..
[36] Wei-Ping Zhu,et al. Wavelet Domain Feature Extraction Scheme Based on Dominant Motor Unit Action Potential of EMG Signal for Neuromuscular Disease Classification , 2014, IEEE Transactions on Biomedical Circuits and Systems.
[37] Ta-Te Lin,et al. A comparison of upper-limb motion pattern recognition using EMG signals during dynamic and isometric muscle contractions , 2014, Biomed. Signal Process. Control..
[38] A. A. Dharme,et al. Wavelet Based Signal Processing Technique for Classification of Power Quality Disturbances , 2014, 2014 Fifth International Conference on Signal and Image Processing.
[39] Wei Li,et al. sEMG-Based Identification of Hand Motion Commands Using Wavelet Neural Network Combined With Discrete Wavelet Transform , 2016, IEEE Transactions on Industrial Electronics.
[40] Zhizeng Luo,et al. Hand motion pattern classifier based on EMG using wavelet packet transform and LVQ neural networks , 2008, 2008 IEEE International Symposium on IT in Medicine and Education.
[41] Mehmet Rahmi Canal,et al. Comparison of Wavelet and Short Time Fourier Transform Methods in the Analysis of EMG Signals , 2010, Journal of Medical Systems.
[42] Othman Omran Khalifa,et al. Neural Network Classifier for Hand Motion Detection from EMG Signal , 2011 .
[43] Chusak Limsakul,et al. Feature Extraction and Reduction of Wavelet Transform Coefficients for EMG Pattern Classification , 2012 .
[44] Muhammad Zahak Jamal. Signal Acquisition Using Surface EMG and Circuit Design Considerations for Robotic Prosthesis , 2012 .
[45] S. A. Ahmad,et al. Surface Electromyography Feature Extraction Based on Wavelet Transform , 2012 .
[46] June-Yule Lee. Variable short-time Fourier transform for vibration signals with transients , 2015 .