Subspace Pattern Recognition Method for Brain Stroke Detection

被引:5
|
作者
Wu, Yizhi [1 ]
Xu, Xieyun [1 ]
Zhu, Ming-Da [1 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Engn Res Ctr Digitized Text & Fash Technol, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.2528/PIERL16091001
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
\Brain stroke is a serious disease and one of the major causes of death. Stroke detection based on the frequently studied microwave imaging method is computation-intensive and not always reliable. This paper presents a stroke-detection scheme based on subspace classification technique. Specifically, the stroke is detected and located by using the intersection of the positive antenna lines, i.e. connecting the transmitter and receiver. The numerical results show that the proposed method can detect and locate blood clots efficiently.
引用
收藏
页码:119 / 126
页数:8
相关论文
共 50 条
  • [1] Subspace method for minimum error pattern recognition
    Watanabe, H
    Katagiri, S
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1997, E80D (12) : 1195 - 1204
  • [2] ON A MODIFICATION OF THE SUBSPACE METHOD IN THE PROBLEM OF PATTERN-RECOGNITION
    STAROVOITOV, DA
    DOKLADY AKADEMII NAUK SSSR, 1990, 310 (05): : 1062 - 1065
  • [3] Kernel-based nonlinear subspace method for pattern recognition
    Miwa, Tomoko
    Kako, Jun-Ichi
    Yamamoto, Shinji
    Matsumoto, Mitsuomi
    Tateno, Yukio
    Iinuma, Takeshi
    Matsumoto, Toru
    Systems and Computers in Japan, 2002, 33 (01) : 38 - 52
  • [4] A nonlinear subspace method for pattern recognition using a nonlinear PCA
    Saegusa, Ryo
    Hashimoto, Shuji
    PROCEEDINGS OF THE EIGHTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2006, : 45 - +
  • [5] Study of document filtering using the subspace method of pattern recognition
    Matsunaga, Tsutomu
    Systems and Computers in Japan, 2000, 31 (01) : 48 - 58
  • [6] EDGE DETECTION FOR BRAIN TUMOR PATTERN RECOGNITION
    Rulaningtyas, Riries
    Ain, Khusnul
    ICICI-BME: 2009 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATION, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING, 2009, : 29 - 31
  • [8] Extended subspace methods of pattern recognition
    Prakash, M
    Murty, MN
    PATTERN RECOGNITION LETTERS, 1996, 17 (11) : 1131 - 1139
  • [9] Kernel common vector method: A Novel nonlinear subspace classifier for pattern recognition
    Cevikalp, Hakan
    Nearntu, Marian
    Barkana, Atalay
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2007, 37 (04): : 937 - 951
  • [10] Subspace based feature selection for pattern recognition
    Gunal, Serkan
    Edizkan, Rifat
    INFORMATION SCIENCES, 2008, 178 (19) : 3716 - 3726