Using fuzzy logic for diagnosis and classification of spasticity

Veysel ALCAN; Mehmet Rahmi CANAL; Murat ZİNNUROĞLU

Makale detayları

Using fuzzy logic for diagnosis and classification of spasticity

Yazarlar:

Veysel ALCAN | Mehmet Rahmi CANAL | Murat ZİNNUROĞLU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Medical Sciences 2017 Vol.47 Issue 1, pp.148-160

Belge Tipi:

Makale

Yayın Tarihi:

1/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000751563

Sıklık:

İki Aylık

eISSN:

1303-6165

pISSN:

1300-0144

Özet:

 

Background/aim: Spasticity is generally defined as a sensory-motor control disorder. However, there is no pathophysiological mechanism or appropriate measurement and evaluation standards that can explain all aspects of a possible spasticity occurrence. The objective of this study is to develop a fuzzy logic classifier (FLC) diagnosis system, in which a quantitative evaluation is performed by surface electromyography (EMG), and investigate underlying pathophysiological mechanisms of spasticity.  Materials and methods: Surface EMG signals recorded from the tibialis anterior and medial gastrocnemius muscles of hemiplegic patients with spasticity and a healthy control group were analyzed in standing, resting, dorsal flexion, and plantar flexion positions. The signals were processed with different methods: by using their amplitudes in the time domain, by applying short-time Fourier transform, and by applying wavelet transform. A Mamdani-type multiple-input, single-output FLC with 64 rules was developed to analyze EMG signals.   Results: The wavelet transform provided better positive findings among all three methods used in this study. The FLC test results showed that the test was 100% sensitive to identify spasticity with 95.8% accuracy and 93.8% specificity.  Conclusion: A FLC was successfully designed to detect and identify spasticity in spite of existing measurement difficulties in its nature.

Makale detayları

Using fuzzy logic for diagnosis and classification of spasticity

Yazarlar: Veysel ALCAN | Mehmet Rahmi CANAL | Murat ZİNNUROĞLU

Yayıncı: TUBITAK

Dergi: Turkish Journal of Medical Sciences 2017 Vol.47 Issue 1, pp.148-160

Belge Tipi: Makale

Yayın Tarihi: 1/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000751563

Sıklık: İki Aylık

eISSN: 1303-6165

pISSN: 1300-0144

Sayı

Yazarlar:

Veysel ALCAN | Mehmet Rahmi CANAL | Murat ZİNNUROĞLU

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Medical Sciences 2017 Vol.47 Issue 1, pp.148-160

Belge Tipi:

Makale

Yayın Tarihi:

1/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000751563

Sıklık:

İki Aylık

eISSN:

1303-6165

pISSN:

1300-0144