Classification of neuromuscular diseases in neuromuscular junction and tendon recordings with needle EMG by using Welch's method İǧne EMG'si ile Nöromösköler Kavşak ve Tendon Kayitlamalarinda Nöromösköler Hastaliklarin Welch Yöntemi ile Siniflandirilmasi

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

2017 Medical Technologies National Conference, TIPTEKNO 2017, Trabzon, Türkiye, 12 - 14 Ekim 2017, cilt.2017-January, ss.1-4, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2017-January
  • Doi Numarası: 10.1109/tiptekno.2017.8238043
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-4
  • Anahtar Kelimeler: electromyography, feature extraction, innervation zone and tendon, neuromuscular diseases
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

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.