Volume 7 Issue 1 - May 2016

  • 1. Analysis of power to apparent power ratio in emg signals using windowing method for paralytic patients

    Authors : Hemant Kumar Gupta, Ritu Vijay

    Pages : 666-676

    DOI : http://dx.doi.org/10.21172/1.71.095

    Keywords : sEMG, Window, Paralytic, Power, apparent power, neuromuscular

    Abstract :

    Detection of EMG signals with powerful and advance methodologies are becoming a very important requirement in biomedical engineering. The main reason for the interest in EMG signal analysis is in clinical diagnosis and biomedical applications. The field of management and rehabilitation of motor disability is identified as one of the important application areas. The shapes and firing rates of Motor Unit Action Potentials (MUAPs) in EMG signals provide an important source of information for the diagnosis of neuromuscular disorders. In this paper, we introduce an MATLAB based algorithm for processing of sEMG signals of paralytic patients. The power to apparent power ratio has been investigated using Hamming window, Hanning window and Rectangular window. In this paper ten paralytic subjects have contributed by performing different finger movement activities.

    Citing this Journal Article :

    Hemant Kumar Gupta, Ritu Vijay, "Analysis of power to apparent power ratio in emg signals using windowing method for paralytic patients", https://www.ijltet.org/journal_details.php?id=901&j_id=3112, Volume 7 Issue 1 - May 2016, 666-676, #ijltetorg