DocumentCode
2969542
Title
Optical sensor system for peripheral vascular diagnostics of the patients based on pulse spectroscopy method
Author
Andruschenko, S. ; Timm, U. ; Koball, S. ; Hinz, M. ; Kraitl, J. ; Lewis, E. ; Ewald, H.
Author_Institution
Inst. of Gen. Electr. Eng., Univ. of Rostock, Rostock, Germany
fYear
2011
fDate
28-31 Oct. 2011
Firstpage
695
Lastpage
698
Abstract
Non-invasive continuous real-time assessment of patient conditions for the diagnostic purposes is a target of the state-of-the-art clinical monitoring technology. Such a surveillance system for the peripheral vascular diagnostics was designed during current research by combining the pulse spectroscopy and advanced signal processing. Analysis of the rhythmic activities in blood circulation reveals a state of the cardiovascular control mechanisms. Considering that the photo-plethysmographic (PPG) waveform is a pressure-induced signal, the correlation between the pulse features with pressure-resistance characteristics of the vessels was derived. By means of the pulse-contour-analysis (PCA) specific amplitudes, systolic slope, dicrotic transit time etc. can be extracted. It was found that the power spectra of the wavelet spectrograms expose significant diagnostic information about the cardiovascular control mechanisms of the microcirculation.
Keywords
blood vessels; cardiovascular system; haemodynamics; medical signal processing; optical sensors; patient diagnosis; patient monitoring; blood circulation; cardiovascular control mechanisms; clinical monitoring; correlation method; microcirculation; noninvasive patient assessment; optical sensor system; patient diagnostics; peripheral vascular diagnostics; photoplethysmographic waveform; pulse contour analysis; pulse spectroscopy method; rhythmic activities analysis; signal processing; wavelet spectrograms; Biomedical monitoring; Blood; Feature extraction; Heart; Monitoring; Optical sensors; Wavelet analysis; hemodynamic monitoring; noninvasive; peripheral vascular diagnostics; pulse spectroscopy; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2011 IEEE
Conference_Location
Limerick
ISSN
1930-0395
Print_ISBN
978-1-4244-9290-9
Type
conf
DOI
10.1109/ICSENS.2011.6127154
Filename
6127154
Link To Document