Classification of neuromuscular junction and tendon recordings of neuromuscular diseases by their spectrogram Nöromösköler Hastaliklarin Kavşak ve Tendon Kayitlarinda Spektrogramlarina Göre Siniflandirilmasi

Artug T., Goker I., Osman O., Baslo B.

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2017, İstanbul, Turkey, 20 - 21 April 2017, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ebbt.2017.7956768
  • City: İstanbul
  • Country: Turkey
  • Yıldız Technical University Affiliated: No

Abstract

In this study, the effect of spectrograms from neuromuscular junction and tendon records for normal, neurogenic and myopathic motor units being constructed via EMG Simulator v3.6 on the differential diagnosis were investigated. Multi-layer perceptron is chosen as classifier. If only the neuromuscular junction records are applied to the network, the performance is 73.33%. If only tendon records are applied to the input of network, the performance is 94.67%. When neuromuscular junction and tendon records are applied together to the network, the performance is 100%.