ANALISIS SINYAL ELEKTRONEUROMIOGRAFI (EMG) UNTUK KEPERLUAN DIAGNOSIS KLINIS BERBASIS NEURAL NETWORK
Electromyography (EMG) is a study of the electrical activity generated by muscles]. Muscle disorder that can be recorded on the most popular clinical EMG signal are nerve disorders (neuropathy) and muscle disorders (myopathy). This study tries to analyze the EMG signal feature extraction from health...
محفوظ في:
| المؤلفون الرئيسيون: | , |
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| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/133763/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=74572 |
| الوسوم: |
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| المؤسسة: | Universitas Gadjah Mada |
| الملخص: | Electromyography (EMG) is a study of the electrical activity generated by
muscles]. Muscle disorder that can be recorded on the most popular clinical EMG
signal are nerve disorders (neuropathy) and muscle disorders (myopathy).
This study tries to analyze the EMG signal feature extraction from healthy
people and from patients with neuropathy and myopathy patients meeting the
power spectral techniques (power spectrum density, PSD). Furthermore PSD
value of each type of input EMG into back propagation neural network to
recognize or classify three types of EMG signals. Neural networks that have been
made are only tested by adding some noise in the EMG signal. |
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