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Source: Computer Methods in Biomechanics and Biomedical Engineering
Condition: Multiple Sclerosis
Education: Learning
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Total 3 results found since Jan 2013.
Analysing the effect of robotic gait on lower extremity muscles and classification by using deep learning
In this study, EMG signals in GMA, GME, ILP, BF, VM, MG, TA muscles were recorded simultaneously with a different electrode placement during robotic gait for the first time in literature and then a location that prevents a phase shift was presented. The classification performance has also been increased by removing 26 different attribute parameters like time, frequency and statistics from the signals instead of gait studies with a maximum of 12-16 traits extraction. The extracted features were classified with the approaches Multilayer Perceptron Neural Networks (MLP), Support Vector Machines (SVM), K-Nearest Neighbourhood ...
Source: Computer Methods in Biomechanics and Biomedical Engineering - December 7, 2021 Category: Biomedical Engineering Authors: İsmail Çalıkuşu Esma Uzunhisarc ıklı U ğur Fidan Mehmet Bahad ır Çetinkaya Source Type: research
