Quantitative assessment of oscillatory components in blood circulation: classification of the effect of aging, diabetes, and acute myocardial infarction

Alan Bernjak; Aneta Stefanovska; Vilma Urbancic-Rovan; Katja Azman-Juvan

doi:10.1117/12.589572

1 April 2005 Quantitative assessment of oscillatory components in blood circulation: classification of the effect of aging, diabetes, and acute myocardial infarction

Alan Bernjak, Aneta Stefanovska, Vilma Urbancic-Rovan, Katja Azman-Juvan

Author Affiliations +

Proceedings Volume 5692, Advanced Biomedical and Clinical Diagnostic Systems III; (2005) https://doi.org/10.1117/12.589572
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

The human cardiovascular system is a complex system with the pumping activity of the heart as the main generator of oscillations. Besides the heartbeat there are several other oscillatory components which determine its dynamics. Their nonlinear nature and a weak coupling between them both require special treatment while studying this system. A particular characteristic of the oscillatory components is their frequency fluctuations in time. Consequently, their interactions also fluctuate in time. Therefore the wavelet transform is applied to trace the oscillatory components in time, and specific quantitative measures are introduced to quantify the contribution of each of the oscillatory components involved on the time scale of up to three minutes. Oscillatory components are then analysed from signals obtained by simultaneous measurements of blood flow in the microcirculation, ECG, respiration and blood pressure. Based on quantitative evaluation of the oscillatory components related to (I) the heart beat (0.6-2Hz), (II) respiration (0.145-0.6Hz), (III) intrinsic myogenic activity (0.052-0.145Hz), (IV) sympathetic activity (0.021-0.052Hz), (V, VI) endothelial related activity (0.0095-0.021Hz, 0.005 - 0.0095 Hz), 30-minutes recording taken on 109 healthy subjects, 75 patients with diabetes, and 82 patients after acute myocardial infarction (AMI) were analysed. Classification of the effect of ageing, diabetes and AMI from blood flow signals simultaneously recorded in the skin of four extremities, the heart rate and heart rate variability from R-R intervals will be presented and discussed.

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Alan Bernjak, Aneta Stefanovska, Vilma Urbancic-Rovan, and Katja Azman-Juvan "Quantitative assessment of oscillatory components in blood circulation: classification of the effect of aging, diabetes, and acute myocardial infarction", Proc. SPIE 5692, Advanced Biomedical and Clinical Diagnostic Systems III, (1 April 2005); https://doi.org/10.1117/12.589572

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