Classification Of Amyotrophic Lateral Sclerosis And Healthy
Electromyography Signals Based On Transfer Learning

dc.contributor.author	Şengür, Abdulkadir
dc.contributor.author	Budak, Ümit
dc.contributor.author	Akbulut, Yaman
dc.date.accessioned	2021-12-15T10:45:10Z
dc.date.available	2021-12-15T10:45:10Z
dc.date.issued	2018
dc.identifier.issn	2536-5010
dc.identifier.issn	2536-5134
dc.identifier.uri	https://app.trdizin.gov.tr/makale/TXpjMk5UQTNOdz09/classification-of-amyotrophic-lateral-sclerosis-and-healthy-electromyography-signals-based-on-transfer-learning
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/2789
dc.description.abstract	This paper investigates the usage of transfer learning in amyotrophic lateralsclerosis (ALS) disease detection. ALS is a dangerous disease which affectsthe nerve cells in brain and spinal cord. Electromyogram (EMG) is animportant measure for analysing of
dc.language.iso	English
dc.source	European Journal of Technique
dc.title	Classification Of Amyotrophic Lateral Sclerosis And Healthy Electromyography Signals Based On Transfer Learning
dc.identifier.issue	2
dc.identifier.startpage	179
dc.identifier.endpage	185
dc.identifier.volume	8

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