| dc.contributor.author | Artuğ, Tuğrul | en_US |
| dc.contributor.author | Osman, Onur | en_US |
| dc.contributor.author | Göker, İmran | en_US |
| dc.contributor.author | Baslo, Barış | en_US |
| dc.date.accessioned | 2019-07-25T09:45:29Z | |
| dc.date.available | 2019-07-25T09:45:29Z | |
| dc.date.issued | 2017 | en_US |
| dc.identifier.citation | Artug, T., Osman, O., Goker, M., Baslo, B., & Ieee. (2017). Classification of Neuromuscular Diseases in Neuromuscular Junction and Tendon Recordings with Needle EMG by Using Welch's Method. New York: Ieee. | en_US |
| dc.identifier.isbn | 9781538606339 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12294/1602 | |
| dc.description | Artuğ, Tuğrul (Arel Author), Osman, Onur (Arel Author), Göker, İmran (Arel Author) | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2017 Medical Technologies National Congress (TIPTEKNO) | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Electromyography | en_US |
| dc.subject | Neuromuscular Diseases | en_US |
| dc.subject | Feature Extraction | en_US |
| dc.subject | Innervation Zone and Tendon | en_US |
| dc.title | Classification of Neuromuscular Diseases in Neuromuscular Junction and Tendon Recordings with Needle EMG by Using Welch's Method | en_US |
| dc.title.alternative | İğne EMG’si ile Nöromüsküler Kavşak ve Tendon Kayıtlamalarında Nöromüsküler Hastalıkların Welch Yöntemi ile Sınıflandırılması | en_US |
| dc.type | conferenceObject | en_US |
| dc.department | Mühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.authorid | 0000-0001-7675-7999 | en_US |
| dc.authorid | 0000-0002-2290-5105 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.coverage.doi | 10.1109/TIPTEKNO.2017.8238043 | |
