Classification of neuromuscular diseases in neuromuscular junction and tendon recordings with needle EMG by using Welch's method

In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's method on differential diagnosis was investigated. Data were recorde...

Full description

Saved in:
Bibliographic Details
Published in2017 Medical Technologies National Congress (TIPTEKNO) pp. 1 - 4
Main Authors Artug, Tugrul, Osman, Onur, Goker, Imran, Baslo, Baris
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Brain modeling
Diseases
Electromyography
feature extraction
innervation zone and tendon
Neuromuscular
neuromuscular diseases
Tendons
Online AccessGet full text

Cover

More Information
Summary:In this study, the power spectral density of simulated data which contain neuromuscular diseases and normal motor unit (i.e. control group) scenarios was calculated using Welch's method. Furthermore, the effect of Welch's method on differential diagnosis was investigated. Data were recorded both near innervation zone which is the area that motor unit action potential occurs and near tendon. Multi-layer perceptron was preferred as artificial neural network to investigate the effect of method on classification. When the data from innervation zone and from tendon were applied separately to the ANN, 68.67% performance was obtained. The accuracy of the network was increased up to 76% when data were applied together.
DOI:10.1109/TIPTEKNO.2017.8238043