Adaptive wavelet analysis improves the spectral timing analysis of peripheral blood flow oscillations, enabling the evaluation of low-frequency components from shorter laser Doppler flowmetry recordings.
May enable shorter LDF recordings for peripheral flow assessment; leaves open prospective validation before clinical adoption.
The main principles are outlined for spectral timing analysis of the peripheral blood flow oscillations obtained by laser Doppler flowmetry. The oscillations can be studied in a wide frequency range both in stationary and nonstationary conditions during functional tests. The potential of the method has been demonstrated in experiments with the reaction of the microvascular bed to transcutaneous iontophoretic introduction of acetylcholine chloride. The major advantage of the method over conventional wavelet analysis is a significant increase in the “effective” length of the signal analyzed, which allows correct analysis of low-frequency components in much shorter LDF recordings than those commonly used.
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Tankanag et al. (2009) studied this question.
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