Performance of automated diagnostic systems in classification of biomedical signals

被引:0
|
作者
Übeyli, Elif Derya [1 ]
机构
[1] Elektrik-Elektronik Müh. Bölümü, Mühendislik Fakültesi, TOBB Ekonomi ve Teknoloji Üniversitesi, 06530 Söǧütözü, Ankara
来源
Journal of the Faculty of Engineering and Architecture of Gazi University | 2007年 / 22卷 / 03期
关键词
Biomedical engineering;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:461 / 469
相关论文
共 50 条
  • [41] Towards Multilingual Automated Classification Systems
    Musaev, Aibek
    Pu, Calton
    2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2017), 2017, : 2333 - 2337
  • [42] Two-fold feature extraction technique for Biomedical signals classification
    Hazarika, A.
    Dutta, L.
    Barthakur, M.
    Bhuyan, M.
    2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 2, 2016, : 340 - 343
  • [43] Erratum to: Description, analysis, and classification of biomedical signals: a computational intelligence approach
    Adam Gacek
    Witold Pedrycz
    Soft Computing, 2015, 19 : 3029 - 3029
  • [44] Thesaurus-based word embeddings for automated biomedical literature classification
    Koutsomitropoulos, Dimitrios A.
    Andriopoulos, Andreas D.
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (02): : 937 - 950
  • [45] Thesaurus-based word embeddings for automated biomedical literature classification
    Dimitrios A. Koutsomitropoulos
    Andreas D. Andriopoulos
    Neural Computing and Applications, 2022, 34 : 937 - 950
  • [46] Automated ECG Signals Analysis for Cardiac Abnormality Detection and Classification
    Abagaro, Ahmed Mohammed
    Barki, Hika
    Ayana, Gelan
    Dawud, Ahmed Ali
    Thamineni, Bheema Lingaiah
    Jemal, Towfik
    Choe, Se-woon
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2024, 19 (05) : 3355 - 3371
  • [47] Automated Classification of Normal and Premature Ventricular Contractions in Electrocardiogram Signals
    Jenny, Nam Zheng Ning
    Faust, Oliver
    Yu, Wenwei
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2014, 4 (06) : 886 - 892
  • [48] Automated, rapid classification of signals using locally linear embedding
    Nichols, J. M.
    Bucholtz, F.
    Nousain, B.
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (10) : 13472 - 13474
  • [49] Feature saliency using signal-to-noise ratios in automated diagnostic systems developed for Doppler ultrasound signals
    Güler, I
    Übeyli, ED
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2006, 19 (01) : 53 - 63
  • [50] Advanced Biomedical and Clinical Diagnostic Systems XI Introduction
    Mahadevan-Jansen, Anita
    Tuan Vo-Dinh
    Grundfest, Warren S.
    ADVANCED BIOMEDICAL AND CLINICAL DIAGNOSTIC SYSTEMS XI, 2013, 8572