AN ARTIFICIAL NEURAL NETWORK FOR CLASSIFICATION OF FORCED EXPIRED VOLUME SIGNALS

被引：0
|
作者：
GAGE, HD [1 ]
MILLER, TK [1 ]
机构：
[1] N CAROLINA STATE UNIV, DEPT ELECT & COMP ENGN, RALEIGH, NC 27695 USA
来源：
PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, PTS 1-4 | 1988年
关键词：
D O I：
10.1109/IEMBS.1988.95350
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：1502 / 1503
页数：2
相关论文
共 50 条
  • [1] Modeling of forced expired volume signals with multiexponential functions
    Steltner, H
    Vogel, M
    Timmer, J
    Sorichter, S
    Guttmann, J
    PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, 2000, 22 : 638 - 641
  • [2] The use of Artificial Neural Network in the Classification of EMG Signals
    Ahsan, Md. R.
    Ibrahimy, Muhammad I.
    Khalifa, Othman O.
    2012 THIRD FTRA INTERNATIONAL CONFERENCE ON MOBILE, UBIQUITOUS, AND INTELLIGENT COMPUTING (MUSIC), 2012, : 225 - 229
  • [3] The classification of human tremor signals using artificial neural network
    Engin, Mehmet
    Demirag, Serdar
    Engin, Erkan Zeki
    Celebi, Gurbuz
    Ersan, Fisun
    Asena, Erden
    Colakoglu, Zafer
    EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33 (03) : 754 - 761
  • [4] Classification of Transcranial Doppler Signals Using Artificial Neural Network
    Selami Serhatlioglu
    Fırat Hardalaç
    İnan Güler
    Journal of Medical Systems, 2003, 27 (2) : 205 - 214
  • [5] Data Compression of EEG Signals for Artificial Neural Network Classification
    Birvinskas, Darius
    Jusas, Vacius
    Martisius, Ignas
    Damasevicius, Robertas
    INFORMATION TECHNOLOGY AND CONTROL, 2013, 42 (03): : 238 - 241
  • [6] Analysis of forced expired volume signals using multi-exponential functions
    Steltner, H.
    Vogel, M.
    Sorichter, S.
    Matthys, H.
    Guttmann, J.
    Timmer, J.
    Medical and Biological Engineering and Computing, 2001, 39 (02): : 190 - 194
  • [7] Analysis of forced expired volume signals using multi-exponential functions
    Steltner, H
    Vogel, M
    Sorichter, S
    Matthys, H
    Guttmann, J
    Timmer, J
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2001, 39 (02) : 190 - 194
  • [8] Analysis of forced expired volume signals using multi-exponential functions
    H. Steltner
    M. Vogel
    S. Sorichter
    H. Matthys
    J. Guttmann
    J. Timmer
    Medical and Biological Engineering and Computing, 2001, 39 : 190 - 194
  • [9] Classification of electro-oculogram signals using artificial neural network
    Güven, A
    Kara, S
    EXPERT SYSTEMS WITH APPLICATIONS, 2006, 31 (01) : 199 - 205
  • [10] Hand Electromyography Circuit and Signals Classification Using Artificial Neural Network
    Shahzaib, Muhammad
    Shakil, Sadia
    2018 14TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES (ICET), 2018,
12345