Title
Waveform analysis of laser Doppler signals from normal and diabetic feet
Abstract
Cutaneous perfusion of the feet of normal volunteers and diabetic patients were measured by laser Doppler fluxmetry. A test paradigm was followed in which the feet were studied at room temperature, during cooling, and during rewarming after cooling. The data files were analyzed using sequential Fourier techniques on serial 20 second segments. Contour plots were generated from the resulting 120 Fourier spectra and compared between the diabetic patients and the normal volunteers. The use of contour plots was found to be helpful in differentiating the diabetic from normal foot plots during this type of stress testing. Significant portions of the power spectra were found in the low frequencies (0.1-0.2 Hz) but there was also a strong component corresponding to the cardiac cycle with at least one harmonic of that cycle observed at two times the heart rate. Diabetic patients exhibited reductions in cutaneous perfusion with cooling in both the low frequency and heart rate frequencies. Sequential spectral analyses arranged in contour plots provide significant information about cutaneous perfusion using laser Doppler fluxmetry and prove useful in evaluating other pathologies characterized by cutaneous perfusion abnormalities
Year
DOI
Venue
1994
10.1109/CBMS.1994.315991
Winston-Salem, NC
Keywords
Field
DocType
Doppler effect,Fourier transform spectra,biomedical measurement,biothermics,flow measurement,haemodynamics,haemorheology,laser applications in medicine,patient diagnosis,skin,spectral analysis,0.1 to 0.2 Hz,cardiac cycle,contour plots,cooling,cutaneous perfusion,data files,diabetic feet,diabetic patients,harmonic,heart rate,laser Doppler fluxmetry,laser Doppler signals,normal feet,normal volunteers,power spectra,rewarming,room temperature,sequential Fourier techniques,sequential spectral analyses,serial 20 second segments,stress testing,test paradigm,waveform analysis
Biomedical engineering,Hemodynamics,Computer vision,Laser Doppler velocimetry,Computer science,Flow measurement,Stress testing,Artificial intelligence,Cardiac cycle,Heart rate,Doppler effect,Perfusion
Conference
ISSN
Citations 
PageRank 
1063-7125
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Smith, T.100.34
Thomas, S.200.34
Torgersen, T.300.34
Holden, M.400.34