المؤلفون: Gedik, Nebi

مصطلحات موضوعية: BBA, EEG, Motor Görüntüsü, Eğricik Dönüşümü, k-NN, BCI, Motor İmagery, Curvelet Transform

وصف الملف: application/pdf

العلاقة: Uluslararası Mühendislik Teknolojileri ve Uygulamalı Bilimler Dergisi; Makale - Ulusal Hakemli Dergi - Başka Kurum Yazarı; Gedik, N. (2023). Eğricik Dönüşümü Ayrıştırması Kullanılarak İki Sınıflı Motor Görüntüsü EEG Sinyallerinin Sınıflandırılması . Afyon Kocatepe Üniversitesi Uluslararası Mühendislik Teknolojileri ve Uygulamalı Bilimler Dergisi , 6 (1) , 43-49 . DOI:10.53448/akuumubd.1183726; https://dergipark.org.tr/tr/pub/akuumubd/issue/76075/1183726Test; https://hdl.handle.net/11630/11103Test; 43; 49

الإتاحة: https://doi.org/10.53448/akuumubd.1183726Test
https://hdl.handle.net/11630/11103Test
https://dergipark.org.tr/tr/pub/akuumubd/issue/76075/1183726Test

المؤلفون: GEDİK, Nebi

المصدر: Volume: 6, Issue: 1 43-49 ; 2667-4165 ; Afyon Kocatepe Üniversitesi Uluslararası Mühendislik Teknolojileri ve Uygulamalı Bilimler Dergisi ; International Journal of Engineering Technology and Applied Science

مصطلحات موضوعية: BBA, EEG, motor görüntüsü, eğricik dönüşümü, k-NN, BCI, motor imagery, curvelet transform, Engineering, Mühendislik

وصف الملف: application/pdf

العلاقة: https://dergipark.org.tr/tr/download/article-file/2685970Test; https://dergipark.org.tr/tr/pub/akuumubd/issue/76075/1183726Test

الإتاحة: https://dergipark.org.tr/tr/pub/akuumubd/issue/76075/1183726Test

المؤلفون: Altindis F., Yilmaz B.

المصدر: 2016 Medical Technologies National Conference, TIPTEKNO 2016

مصطلحات موضوعية: brain-computer interfaces, classification, EEG, motor imagery, relative band power, Biomedical engineering, Brain computer interface, Classification (of information), Discriminant analysis, Electroencephalography, Feature extraction, Image retrieval, Interface states, Interfaces (computer), Medical computing, Nearest neighbor search, Neurons, Signal processing, Support vector machines, Vectors, Classification methods, Feature extraction and classification, Feature vectors, K nearest neighbor (KNN), Linear discriminant analysis, Paralyzed patients, Biomedical signal processing

وصف الملف: application/pdf

العلاقة: http://dx.doi.org/10.1109/TIPTEKNO.2016.7863118Test; http://hdl.handle.net/11693/37572Test

الإتاحة: https://doi.org/10.1109/TIPTEKNO.2016.7863118Test
http://hdl.handle.net/11693/37572Test

المؤلفون: Altındiş, Fatih, Yılmaz, B.

المصدر: 2016 Medical Technologies National Conference, TIPTEKNO 2016

مصطلحات موضوعية: Signal processing, Linear discriminant analysis, Feature extraction and classification, Biomedical signal processing, Feature vectors, Medical computing, Motor imagery, EEG, Paralyzed patients, Neurons, Support vector machines, Classification (of information), Electroencephalography, Interface states, K nearest neighbor (KNN), Vectors, Classification, Discriminant analysis, Interfaces (computer), Nearest neighbor search, Feature extraction, Classification methods, Brain-computer interfaces, Image retrieval, Biomedical engineering, Brain computer interface, Relative band power

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=od______3533::29a7e82a8101047674afb2701b7e54fbTest
https://hdl.handle.net/11693/37572Test

المؤلفون: Altindis, Fatih, Yilmaz, Bulent

المساهمون: AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü, orcid:0000-0002-3891-935X, orcid:0000-0003-2954-1217, Altindis, Fatih, Yilmaz, Bulent

مصطلحات موضوعية: brain-computer interfaces, EEG, motor imagery, classification, relative band power

وصف الملف: application/pdf

العلاقة: 2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; WOS:000455003600057; https://doi.org/10.1109/TIPTEKNO.2016.7863118Test; https://hdl.handle.net/20.500.12573/1716Test

الإتاحة: https://doi.org/20.500.12573/1716Test
https://doi.org/10.1109/TIPTEKNO.2016.7863118Test
https://hdl.handle.net/20.500.12573/1716Test

المساهمون: Dumlu S., Sahin D., Vardar B., Akin A., Deniz Duru A.

مصطلحات موضوعية: EEG, motor execution, motor imagery, mu rhythm, suppression

العلاقة: 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings; https://hdl.handle.net/11424/247495Test

الإتاحة: https://doi.org/10.1109/SIU.2014.6830682Test
https://hdl.handle.net/11424/247495Test

المؤلفون: Yazıcı, Mustafa

مصطلحات موضوعية: EEG, Motor Hayali, EEG Kaynak Görüntüleme, EEG Nörogörüntüleme, Sinyal İşleme, Motor Imagery, EEG Source Imaging, EEG Neuroimaging, Signal Processing

وصف الملف: application/pdf

العلاقة: http://acikerisim.ktu.edu.tr/jspui/handle/123456789/3395Test

الإتاحة: http://acikerisim.ktu.edu.tr/jspui/handle/123456789/3395Test