A Wavelet Based Technique to Measure Heart Rate Variability

We have applied the wavelet transformation on large RR interval data sets and detected the medication effect on patients. The scatter plots of wavelet coefficients of RR interval data sets provide the “states of the cardiovascular system.” Our plots of scalewise variation of wavelet coefficients can...

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Bibliographic Details
Published inSampling theory in signal and image processing Vol. 8; no. 2; pp. 147 - 159
Main Authors Ahmad, M.K., Knaf, H., Lang, P.
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.05.2009
Sampling Publishing
Subjects
Abstract Harmonic Analysis
Arrhythmia
Decomposition (Mathematics)
Diagnosis
Heart beat
Image and Speech Processing
Image processing
Machine Learning
Mathematics
Methods
Signal
Wavelet transforms
wavelet transform
wavelet decomposition
RR interval
Wavelets
electrocardiogram
heart rate variability
42C40
94A08
arrhythmia
42A99
multiresolution analysis
65T60
65D18
orthonormal wavelets
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ISSN1530-6429
DOI10.1007/BF03549513

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Summary:We have applied the wavelet transformation on large RR interval data sets and detected the medication effect on patients. The scatter plots of wavelet coefficients of RR interval data sets provide the “states of the cardiovascular system.” Our plots of scalewise variation of wavelet coefficients can be viewed as 'overall health indicator', named generalized heart rate variability plot. A comparison with the widely used statistical measure like SDNN is also made.
ISSN:1530-6429
DOI:10.1007/BF03549513