The frequency histogram-A new method for the evaluation of laser doppler flux motion

Ulrich Hoffmann; Ahmet Yanar; Ulrich K. Franzeck; James M. Edwards; Alfred Bollinger

doi:10.1016/0026-2862(90)90028-P

The frequency histogram-A new method for the evaluation of laser doppler flux motion

Ulrich Hoffmann, Ahmet Yanar, Ulrich K. Franzeck, James M. Edwards, Alfred Bollinger

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

A digital filter system (DFS) was implemented to describe the frequency components of laser Doppler signals. The DFS calculates a frequency histogram on the basis of the prevalence of a certain frequency band during the sample period. This approach seems to be more suitable for the detection of low-power small-amplitude flux motion components recorded by laser Doppler as compared to the commonly used fast Fourier algorithm. Fourier analysis provides an amplitude-relevant frequency spectrum which may overlook relevant frequency components with small amplitude due to low power or short duration. DFS allows better detection of such signals as demonstrated by the initial clinical results of this study evaluating flux motion on the feet of 4 healthy controls and 10 patients with peripheral arterial occlusive disease. Three frequency components are easily distinguished corresponding to low (3.6 ± 1.5 cycles/minute) and high (18.6 ± 4.5 cycles/min) frequency flux motion and the pulsatile waves due to cardiac action.

Original language	English (US)
Pages (from-to)	293-301
Number of pages	9
Journal	Microvascular Research
Volume	40
Issue number	3
DOIs	https://doi.org/10.1016/0026-2862(90)90028-P
State	Published - Nov 1990
Externally published	Yes

ASJC Scopus subject areas

Biochemistry
Cardiology and Cardiovascular Medicine
Cell Biology

Access to Document

10.1016/0026-2862(90)90028-P

Cite this

@article{a66cabc4904140e4be3d3f80412edf77,

title = "The frequency histogram-A new method for the evaluation of laser doppler flux motion",

abstract = "A digital filter system (DFS) was implemented to describe the frequency components of laser Doppler signals. The DFS calculates a frequency histogram on the basis of the prevalence of a certain frequency band during the sample period. This approach seems to be more suitable for the detection of low-power small-amplitude flux motion components recorded by laser Doppler as compared to the commonly used fast Fourier algorithm. Fourier analysis provides an amplitude-relevant frequency spectrum which may overlook relevant frequency components with small amplitude due to low power or short duration. DFS allows better detection of such signals as demonstrated by the initial clinical results of this study evaluating flux motion on the feet of 4 healthy controls and 10 patients with peripheral arterial occlusive disease. Three frequency components are easily distinguished corresponding to low (3.6 ± 1.5 cycles/minute) and high (18.6 ± 4.5 cycles/min) frequency flux motion and the pulsatile waves due to cardiac action.",

author = "Ulrich Hoffmann and Ahmet Yanar and Franzeck, {Ulrich K.} and Edwards, {James M.} and Alfred Bollinger",

note = "Funding Information: {\textquoteright} Supported by Swiss National Forschungsgemeinschaft.",

year = "1990",

month = nov,

doi = "10.1016/0026-2862(90)90028-P",

language = "English (US)",

volume = "40",

pages = "293--301",

journal = "Microvascular Research",

issn = "0026-2862",

publisher = "Academic Press Inc.",

number = "3",

}

TY - JOUR

T1 - The frequency histogram-A new method for the evaluation of laser doppler flux motion

AU - Hoffmann, Ulrich

AU - Yanar, Ahmet

AU - Franzeck, Ulrich K.

AU - Edwards, James M.

AU - Bollinger, Alfred

N1 - Funding Information: ’ Supported by Swiss National Forschungsgemeinschaft.

PY - 1990/11

Y1 - 1990/11

N2 - A digital filter system (DFS) was implemented to describe the frequency components of laser Doppler signals. The DFS calculates a frequency histogram on the basis of the prevalence of a certain frequency band during the sample period. This approach seems to be more suitable for the detection of low-power small-amplitude flux motion components recorded by laser Doppler as compared to the commonly used fast Fourier algorithm. Fourier analysis provides an amplitude-relevant frequency spectrum which may overlook relevant frequency components with small amplitude due to low power or short duration. DFS allows better detection of such signals as demonstrated by the initial clinical results of this study evaluating flux motion on the feet of 4 healthy controls and 10 patients with peripheral arterial occlusive disease. Three frequency components are easily distinguished corresponding to low (3.6 ± 1.5 cycles/minute) and high (18.6 ± 4.5 cycles/min) frequency flux motion and the pulsatile waves due to cardiac action.

AB - A digital filter system (DFS) was implemented to describe the frequency components of laser Doppler signals. The DFS calculates a frequency histogram on the basis of the prevalence of a certain frequency band during the sample period. This approach seems to be more suitable for the detection of low-power small-amplitude flux motion components recorded by laser Doppler as compared to the commonly used fast Fourier algorithm. Fourier analysis provides an amplitude-relevant frequency spectrum which may overlook relevant frequency components with small amplitude due to low power or short duration. DFS allows better detection of such signals as demonstrated by the initial clinical results of this study evaluating flux motion on the feet of 4 healthy controls and 10 patients with peripheral arterial occlusive disease. Three frequency components are easily distinguished corresponding to low (3.6 ± 1.5 cycles/minute) and high (18.6 ± 4.5 cycles/min) frequency flux motion and the pulsatile waves due to cardiac action.

UR - http://www.scopus.com/inward/record.url?scp=0025663054&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025663054&partnerID=8YFLogxK

U2 - 10.1016/0026-2862(90)90028-P

DO - 10.1016/0026-2862(90)90028-P

M3 - Article

C2 - 2084497

AN - SCOPUS:0025663054

SN - 0026-2862

VL - 40

SP - 293

EP - 301

JO - Microvascular Research

JF - Microvascular Research

IS - 3

ER -

The frequency histogram-A new method for the evaluation of laser doppler flux motion

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this