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WAVELET-BASED SIGNAL ANALYSIS FOR THE ENVIRONMENTAL HEALTH RESEARCH

ZHU, XIANGDONG

Abstract Details

2004, MS, University of Cincinnati, Engineering : Mechanical Engineering.
As a part of the Cincinnati Lead Program Project (CLPP), postural balance signals from postural sway motions of lead exposed children have been measured and studied in an effort to relate the motions and the blood-lead levels. We developed several signal analysis techniques including advanced time-frequency analysis such as the analytic wavelet transform and the wavelet based multi fractal analysis to the postural balance data that had been measured by the CLPP. Like many other types of biological signals, postural sway motion signals are highly transient and multi-fractal. The wavelet analysis is very well suited for analysis of such transient signals because it uses time-frequency atoms of different sizes that depend on the frequency to break down the signal. The Wavelet based Multiple-Fractal Formalism (WMFF) and the analytic wavelet transform are two techniques adopted in this research to study the postural sway motion characteristics of lead exposed children. The main goal pursued in this study is to develop quantitative metrics to relate the postural balance motion and the blood lead level of children. WMFF calculates singularity spectra of signals; therefore can be used to identify abnormalities of the signals. Theories and procedures of wavelet based multi-fractal analysis are studied. The global singularities and multifractalities are obtained for the postural sway signals of 13 low blood lead level and 10 high blood lead level children. Multi-fractal characteristics of the signals from the two groups are compared with each other by using various data representations. The result shows that the WMFF can be a very useful tool in studying the effect of lead exposure by characterizing the motions in quantitative metrics namely the maximum spectrum level and the spectrum. Various time-frequency signal analysis and representation techniques are also developed to aid qualitative analysis of the sway signals. The analytic wavelet transform technique is believed to be extremely useful because it has all the advantages of the wavelet analysis as well as those of the conventional Fourier transform. Possible applications of the analytic wavelet transform to medical signal analysis are suggested with some preliminary results.
Dr. Jay Kim (Advisor)
100 p.

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Citations

  • ZHU, X. (2004). WAVELET-BASED SIGNAL ANALYSIS FOR THE ENVIRONMENTAL HEALTH RESEARCH [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085064472

    APA Style (7th edition)

  • ZHU, XIANGDONG. WAVELET-BASED SIGNAL ANALYSIS FOR THE ENVIRONMENTAL HEALTH RESEARCH. 2004. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085064472.

    MLA Style (8th edition)

  • ZHU, XIANGDONG. "WAVELET-BASED SIGNAL ANALYSIS FOR THE ENVIRONMENTAL HEALTH RESEARCH." Master's thesis, University of Cincinnati, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1085064472

    Chicago Manual of Style (17th edition)