Wavelet (time-scale) analysis in biomedical signal processing

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Signals recorded from the human body provide information pertaining to its organs. Their characteristic shape, or temporal and spectral properties, can be correlated with normal or pathological functions. In response to dynamical changes in the function of these organs, the signals may exhibit time-varying as well as nonstationary responses. Time-frequency and time-scale analysis techniques are well suited for such biological signals. Joint time-frequency signal analysis techniques include shortterm Fourier transform and Wigner-Ville distribution, and related reduced interference distribution. Joint time-scale analysis includes continuous and discrete, orthonormal and non-orthonormal wavelets. These techniques find applications in the analysis of transient and time-varying events in biological signals. Examples of applications include cardiac signals (for detection of ischemia and reperfusion-related changes in QRS complex, and late potentials in ECG) and neurological signals (evoked potentials and seizure spikes).

Original languageEnglish (US)
Title of host publicationMedical Devices and Systems
PublisherCRC Press
Pages5-1-5-26
ISBN (Electronic)9781420003864
ISBN (Print)0849321220, 9780849321221
StatePublished - Jan 1 2006

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Thakor, N. V., Gramatikov, B., & Sherman, D. (2006). Wavelet (time-scale) analysis in biomedical signal processing. In Medical Devices and Systems (pp. 5-1-5-26). CRC Press.