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@article{159310,
        author = {Bhashika Bhardwaj and Shruti Tripathi and Dr. Shivani Saxena},
        title = {Design and development of electromayography measuring system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {1043-1048},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159310},
        abstract = {The work in this paper is based on analysis of Electromyography (EMG). This EMG signal is electro diagnostic medicine technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG is measured using an instrument called an electromyography to produce a record called electromyogram. Most of the standard EMG measurement systems are expensive and not feasible for personal applications. Therefore, the work in this paper is focussed to design an EMG signal detection and classification model that can distinguish between different gestures of a human being. the application of wavelet transform is used to extract time-frequency based information from the signal followed by noise removal stage. Further, extraction of these significant information is used to extract EMG signal in Myopathy and Neuropathy. Numerical simulation of statistical parameters is used to validate the proposed model.},
        keywords = {EMG, Myopathy, Neuropathy, Standard deviation, Wavelet transform},
        month = {},
        }