Adaptive Linear Energy Detector based on onset and offset electromyography activity detection

This paper describes a new approach for detecting onset/offset electromyography activity. The proposed approach is based on energy analysis which has been widely used in Voice Activity Detection (VAD). A performance analysis has been carried out in order to get the appropriate frame length of EMG signal to adapt within our proposed method. Synthetic and Real EMG signals are used to illustrate us the performance of our proposed method.

[1]  R. Venkatesha Prasad,et al.  Comparison of voice activity detection algorithms for VoIP , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.

[2]  Pavel Sovka,et al.  Noise suppression system for a car , 1993, EUROSPEECH.

[3]  P E Patterson,et al.  Identification of lower arm motions using the EMG signals of shoulder muscles. , 1994, Medical engineering & physics.

[4]  F. Mohd-Yasin,et al.  Techniques of EMG signal analysis: detection, processing, classification and applications , 2006, Biological Procedures Online.

[5]  P. T. Vanathi,et al.  Performance Analysis of Voice Activity Detection Algorithms for Robust Speech Recognition , 2011 .

[6]  M. Knaflitz,et al.  A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait , 1998, IEEE Transactions on Biomedical Engineering.

[7]  T. Hortobágyi,et al.  Teager–Kaiser energy operator signal conditioning improves EMG onset detection , 2010, European Journal of Applied Physiology.

[8]  Y. Mendelson,et al.  An electromyogram simulator for myoelectric prosthesis testing , 2010, Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC).

[9]  Alexandre Balbinot,et al.  Adaptive and Linear Energy Based Detector for a Virtual Mouse Control , 2013, IWBBIO.

[10]  R. P. Fabio.  Reliability of computerized surface electromyography for determining the onset of muscle activity. , 1987 .

[11]  Kirill Sakhnov,et al.  Low-Complexity Voice Activity Detector Using Periodicity and Energy Ratio , 2009, 2009 16th International Conference on Systems, Signals and Image Processing.

[12]  Mateusz Magda.  EMG onset detection – development and comparison of algorithms , 2015 .

[13]  Kirill Sakhnov,et al.  Approach for Energy-Based Voice Detector with Adaptive Scaling Factor , 2009 .

[14]  H.S. Jamadagni,et al.  VAD techniques for real-time speech transmission on the Internet , 2002, 5th IEEE International Conference on High Speed Networks and Multimedia Communication (Cat. No.02EX612).

[15]  Andrzej Drygajlo,et al.  Entropy based voice activity detection in very noisy conditions , 2001, INTERSPEECH.

[16]  Dario Farina,et al.  A fast and reliable technique for muscle activity detection from surface EMG signals , 2003, IEEE Transactions on Biomedical Engineering.