• DocumentCode
    2377615
  • Title

    Medical Biometrics-Computerized TCM Diagnosis

  • Author

    Zhang, David

  • Author_Institution
    Biometrics Technol. Centre (UGC/CRC), Hong Kong Polytech. Univ., Hong Kong, China
  • fYear
    2010
  • fDate
    18-18 Dec. 2010
  • Firstpage
    4
  • Lastpage
    4
  • Abstract
    The Traditional Chinese Medicine (TCM) diagnosis methods, such as looking/smelling/touching, have been successfully used for thousands of years. However, these methods are mainly relied on Doctor´s experience and not quantified. In this presentation, we will try to develop a novel approach by using Medical Biometrics technology, i.e., Computerized TCM Diagnosis, to solve these problems. By some TCM-orient diagnosis acquisition devices, we could collect many kinds of date like tongue/pulse/odor with a priori knowledge from different diseases in hospitals. Then we use a statistical pattern recognition approach to extract all possible features from these images/waveforms, including color, texture, shape, and so on. After matching between our training data and testing data, some decision rules will be made. Finally, we apply our results to the practical diseases diagnosis to illustrate the effectiveness of our approach.
  • Keywords
    data acquisition; diseases; feature extraction; image colour analysis; image recognition; image texture; knowledge acquisition; medical image processing; patient diagnosis; statistical analysis; waveform analysis; data testing; diagnosis data acquisition device; diseases; feature extraction; image color; image shape; image texture; medical biometrics-computerized diagnosis; odor analysis; priori knowledge; pulse analysis; statistical pattern recognition; tongue data; traditional chinese medicine diagnosis method; waveform analysis; diagnosis; medical biometrics; traditional Chinese medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
  • Conference_Location
    Hong, Kong
  • Print_ISBN
    978-1-4244-8303-7
  • Electronic_ISBN
    978-1-4244-8304-4
  • Type

    conf

  • DOI
    10.1109/BIBMW.2010.5703764
  • Filename
    5703764