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Abstract
Electromyography (EMG) signals that represent the electrical activity of muscles can be used for various clinical and biomedical applications. These are complicated and highly varying signals that are dependent on anatomical location and physiological properties of the muscles. EMG signals acquired from the muscles require advanced methods for detection, decomposition and processing. This paper proposes a novel Graphical User Interface (GUI) siGnum developed in MATLAB that will apply efficient and effective techniques on processing of the raw EMG signals and decompose it in a simpler manner. It could be used independent of MATLAB software by employing a deploy tool. This would enable researcher’s to gain good understanding of EMG signal and its analysis procedures that can be utilized for more powerful, flexible and efficient applications in near future.
Acknowledgement
This work is supported by funding (IDP/MED/2010/27) received by Dr Dinesh Bhatia from the Instrument Development Program of the Department of Science and Technology, Government of India, New Delhi. The authors also acknowledge the support of the doctors from the Department of Physical Medicine and Rehabilitation, All India Institute of Medical Sciences (AIIMS), Delhi and faculty from Department of Biomedical Engineering, Indian Institute of Technology, Delhi involved in the above project.