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1 Laboratoire de
Physiologie-Groupement d'Intérêt Public Exercice,
Heart rate variability is a recognized parameter
for assessing autonomous nervous system activity. Fourier transform,
the most commonly used method to analyze variability, does not offer an
easy assessment of its dynamics because of limitations inherent in its
stationary hypothesis. Conversely, wavelet transform allows analysis of
nonstationary signals. We compared the respective yields of Fourier and
wavelet transforms in analyzing heart rate variability during dynamic
changes in autonomous nervous system balance induced by atropine and
propranolol. Fourier and wavelet transforms were applied to sequences
of heart rate intervals in six subjects receiving increasing doses of
atropine and propranolol. At the lowest doses of atropine administered,
heart rate variability increased, followed by a progressive decrease
with higher doses. With the first dose of propranolol, there was a
significant increase in heart rate variability, which progressively
disappeared after the last dose. Wavelet transform gave significantly
better quantitative analysis of heart rate variability than did Fourier
transform during autonomous nervous system adaptations induced by both
agents and provided novel temporally localized information.
Fourier transform; atropine; propranolol; autonomous nervous system
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