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7th International Conference on Body Area Networks

Research Article

Fuzzy feature for Traditional Chinese Medical Pulse Data

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  • @INPROCEEDINGS{10.4108/icst.bodynets.2012.249942,
        author={jian cui},
        title={Fuzzy feature for Traditional Chinese Medical Pulse Data},
        proceedings={7th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2012},
        month={11},
        keywords={pulse data processing chinese medical diagnosis wavelet transform mobile healthcare},
        doi={10.4108/icst.bodynets.2012.249942}
    }
    
  • jian cui
    Year: 2012
    Fuzzy feature for Traditional Chinese Medical Pulse Data
    BODYNETS
    ICST
    DOI: 10.4108/icst.bodynets.2012.249942
jian cui,*
    *Contact email: cuijian.hh@gmail.com

    Abstract

    This paper proposed a novel method based onWavelet Transforms which can be easily used in processing the traditional Chinese pulse data in the context of mobile healthcare. Considering the energy limitation and real-time requirements, we make a new structure to describe the pulse data which we call fuzzy feature. The fuzzy feature can extract the hiding information from the pulse units. Pulse data preprocessing and fuzzy feature extraction only operates the wavelet transform coecients of the original data. The algorithm complexity of the fuzzy feature extraction is about O(N). Through analyzing the clusters from 28 patients' pulse units, the fuzzy feature can extract the hiding information well. The experimental results show that the fuzzy feature can be easily used in mining useful information from patients' data and assisting doctors to make accurate diagnosis.

    Keywords
    pulse data processing chinese medical diagnosis wavelet transform mobile healthcare
    Published
    2012-11-29
    Publisher
    ICST
    http://dx.doi.org/10.4108/icst.bodynets.2012.249942
    Copyright © 2012–2025 ICST
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