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 | |
| 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 |
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Keywords
- Fourier transform
- Laser doppler flowmetry
- Short time fourier transform
- Skin blood flow
- Wavelets analysis
ASJC Scopus subject areas
- Biomedical Engineering
- Bioengineering
Cite this
Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series. / D'Addio, G.; Cesarelli, M.; Bifulco, P.; Iuppariello, L.; Faiella, G.; Lapi, D.; Colantuoni, A.
IFMBE Proceedings. Vol. 41 2014. p. 647-650.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Effects of wavelets analysis on power spectral distributions in laser doppler flowmetry time series
AU - D'Addio, G.
AU - Cesarelli, M.
AU - Bifulco, P.
AU - Iuppariello, L.
AU - Faiella, G.
AU - Lapi, D.
AU - Colantuoni, A.
PY - 2014
Y1 - 2014
N2 - 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
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
KW - Fourier transform
KW - Laser doppler flowmetry
KW - Short time fourier transform
KW - Skin blood flow
KW - Wavelets analysis
UR - http://www.scopus.com/inward/record.url?scp=84891319165&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891319165&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-00846-2_160
DO - 10.1007/978-3-319-00846-2_160
M3 - Chapter
AN - SCOPUS:84891319165
SN - 9783319008455
VL - 41
SP - 647
EP - 650
BT - IFMBE Proceedings
ER -