I. J. of Electrical & Electronics Research
Research Article | 
Effect of Machine Learning Techniques for Efficient Classification of EMG Patterns in Gait Disorders
Author(s) : Manoj Kumar1, Dr Pratiksha Gautam2 and Dr Vijay Bhaskar3
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 2 , Special Issue on RDCTML
Publisher : FOREX Publication
Published : 22 May 2022
e-ISSN : 2347-470X
Page(s) : 117-121
Abstract
Gait disorder is very common in neurodegenerative diseases and differentiating among the same kinematic design is a very challenging task. The muscle activity is responsible for the creation of kinematic patterns. Hence, one optimal way to monitor this issue is to analyse the muscle pattern to identify the gait disorders. In this paper, we will investigate the possibility of identifying GAIT disorders using EMG patterns with the help of various machine learning algorithms. Twenty-five normal persons (13 male and 12 females, age around 28 years of age) and 21 persons having GAIT disorders (11 male and 10 females, age around 67 years of age). Four different machine learning algorithms have been used to identify EMG patterns to recognize healthy and unhealthy persons. The results obtained so far have been used to distinguish between GAIT disorders and healthy patients. Our proposed system can also prove that Recurrent Neural Network has achieved the best accuracy with 91.3 % in the case of two classes and 86.95 % in the case of three classes compared to other machine learning algorithms.
Keywords: Machine learning, deep learning, feature extraction, Gait disorders, Kinematic, Random Forest
Manoj Kumar, Department of Computer Science& Eng., Amity University Gwalior, M.P., India; Email: mannu175@yahoo.com
Pratiksha Gautam, Department of Computer Science &Eng., Amity University Gwalior, M.P., India; Email: pgautam@gwa.amity.edu
Vijay Bhaskar Semwal, Department of Computer Science &Eng., NIT Bhopal, M.P., India; Email: vsemwal@manit.ac.in
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Manoj Kumar, Dr Pratiksha Gautam and Dr Vijay Bhaskar (2022), Effect of Machine Learning Techniques for Efficient Classification of EMG Patterns in Gait Disorders. IJEER 10(2), 117-121. DOI: 10.37391/IJEER.100211.