Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series

G. D'Addio; M. Cesarelli; P. Bifulco; L. Iuppariello; G. Faiella; D. Lapi; A. Colantuoni

doi:10.1007/978-3-319-00846-2_160

Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series

G. D'Addio, M. Cesarelli, P. Bifulco, L. Iuppariello, G. Faiella, D. Lapi, A. Colantuoni

Istituti Clinici Scientifici Maugeri Spa – Società Benefit

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The evaluation of endothelium function impairments are of great clinical interest in many vascular diseases and laser Doppler flowmetry (LDF) is the gold standard technique for its evaluation. LDF signals show low-frequency oscillations related to heartbeat, respiratory, myogenic and endothelial activities. Although wavelets analysis (WLT) of LDF has been shown as a better technique than Fourier (FFT) and Short Time Fourier Transform (STFT) in the resolution of these oscillatory components, the overall spectral power modifications have not yet been described. Aim of the paper is to study the effects of WLT analysis on power spectral distributions in LDF. We studied 20 min LDF recordings of 20 obese subjects by PeriFlux LDF system. Signals were detrended by moving average algorithms and transformed by FFT, STFT and WLT for spectral analysis. The spectral power has been calculated in bands I (0.6-2 Hz), II (0.145-06), III (0.052-0.145), IV (0.021-0.052), V (0.0095-0.021) and VI (0.005-0.0095) in percent values of the total spectral power. Results of the ANOVA tests between spectral powers in the six bands by the three different spectral analysis' methods showed that WLT exhibited the highest F-value, reflecting significant difference (p

Original language	English
Title of host publication	IFMBE Proceedings
Pages	647-650
Number of pages	4
Volume	41
DOIs	https://doi.org/10.1007/978-3-319-00846-2_160
Publication status	Published - 2014
Event	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013 - Seville, Spain Duration: Sep 25 2013 → Sep 28 2013

Other

Other	13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Country	Spain
City	Seville
Period	9/25/13 → 9/28/13

Keywords

Fourier transform
Laser doppler flowmetry
Short time fourier transform
Skin blood flow
Wavelets analysis

ASJC Scopus subject areas

Biomedical Engineering
Bioengineering

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D'Addio, G., Cesarelli, M., Bifulco, P., Iuppariello, L., Faiella, G., Lapi, D., & Colantuoni, A. (2014). Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series. In IFMBE Proceedings (Vol. 41, pp. 647-650) https://doi.org/10.1007/978-3-319-00846-2_160

D'Addio, G , Cesarelli, M, Bifulco, P, Iuppariello, L, Faiella, G, Lapi, D & Colantuoni, A 2014, Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series. in IFMBE Proceedings. vol. 41, pp. 647-650, 13th Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013, Seville, Spain, 9/25/13. https://doi.org/10.1007/978-3-319-00846-2_160

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abstract = "The evaluation of endothelium function impairments are of great clinical interest in many vascular diseases and laser Doppler flowmetry (LDF) is the gold standard technique for its evaluation. LDF signals show low-frequency oscillations related to heartbeat, respiratory, myogenic and endothelial activities. Although wavelets analysis (WLT) of LDF has been shown as a better technique than Fourier (FFT) and Short Time Fourier Transform (STFT) in the resolution of these oscillatory components, the overall spectral power modifications have not yet been described. Aim of the paper is to study the effects of WLT analysis on power spectral distributions in LDF. We studied 20 min LDF recordings of 20 obese subjects by PeriFlux LDF system. Signals were detrended by moving average algorithms and transformed by FFT, STFT and WLT for spectral analysis. The spectral power has been calculated in bands I (0.6-2 Hz), II (0.145-06), III (0.052-0.145), IV (0.021-0.052), V (0.0095-0.021) and VI (0.005-0.0095) in percent values of the total spectral power. Results of the ANOVA tests between spectral powers in the six bands by the three different spectral analysis' methods showed that WLT exhibited the highest F-value, reflecting significant difference (p",

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AU - Faiella, G.

AU - Lapi, D.

AU - Colantuoni, A.

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AB - The evaluation of endothelium function impairments are of great clinical interest in many vascular diseases and laser Doppler flowmetry (LDF) is the gold standard technique for its evaluation. LDF signals show low-frequency oscillations related to heartbeat, respiratory, myogenic and endothelial activities. Although wavelets analysis (WLT) of LDF has been shown as a better technique than Fourier (FFT) and Short Time Fourier Transform (STFT) in the resolution of these oscillatory components, the overall spectral power modifications have not yet been described. Aim of the paper is to study the effects of WLT analysis on power spectral distributions in LDF. We studied 20 min LDF recordings of 20 obese subjects by PeriFlux LDF system. Signals were detrended by moving average algorithms and transformed by FFT, STFT and WLT for spectral analysis. The spectral power has been calculated in bands I (0.6-2 Hz), II (0.145-06), III (0.052-0.145), IV (0.021-0.052), V (0.0095-0.021) and VI (0.005-0.0095) in percent values of the total spectral power. Results of the ANOVA tests between spectral powers in the six bands by the three different spectral analysis' methods showed that WLT exhibited the highest F-value, reflecting significant difference (p

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