@inproceedings{52cace63aea5460fa5630e01044f9fdc,
title = "Effect of VMD decomposition of soleus muscle EMG in SVM classification",
abstract = "Electromyography (EMG) is widely used for diagnosis in the field of bio-medical research. The EMG signal from the soleus muscle is utilized in this study to understand the effect of variational mode decomposition (VMD) in signal classification. In this work forward and backward walking in even and uneven surfaces with inclinations of 0° and 10° were considered. Ten time domain features were extracted from both raw surface EMG signal, and VMD decomposed EMG signal. Scatter plot of features in all walking condition is analyzed to understand the variation within the scatter group. The features extracted from VMD based components were shown to perform better in accuracy during Support Vector Machines (SVM) classification than the raw signal.",
author = "Akhil, \{V. M.\} and Jobin Varghese and Rajendrakumar, \{P. K.\} and \{K S\}, Sivanandan",
year = "2019",
month = feb,
doi = "10.1109/ICACCP.2019.8882900",
language = "English",
series = "2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019",
address = "United States",
note = "2nd International Conference on Advanced Computational and Communication Paradigms, ICACCP 2019 ; Conference date: 25-02-2018 Through 28-02-2018",
}