DocumentCode :
1814140
Title :
Hemodynamic parameters assessment
Author :
Almeida, Vânia G. ; Ferreira, Luís F Requicha ; Correia, Carlos
Author_Institution :
Phys. Dept., Univ. of Coimbra, Coimbra, Portugal
fYear :
2012
fDate :
23-25 Feb. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The present work focuses an experimental and theoretical approach to non-invasive cardiovascular (CV) system monitoring. The CV diseases are currently one of the leading causes of death in the developed countries. The development of early diagnostic tools contributes for the early identification of important markers in the CV development. A piezoelectric (PZ) probe to arterial pressure waveform (APW) monitoring at peripheral arteries, such as carotid artery was developed. A dedicated test bench capable of emulating the main CV dynamic properties was developed, providing an interesting tool to carry out the preliminary tests. The PZ probe output signal suffers additional processing to original waveform recovering. The deconvolution method was used for this purpose. Algorithms to waveform delineation were developed, based on the wavelet transform and probability density function (PDF). The AIx was calculated for each one of the developed algorithms. These methods were comparatively evaluated with the reference value from the synthesis procedure. The probe´s performance was assessed using realistic simulation based on exponential pulses and in in vivo data acquisitions, Results demonstrate that the developed probe exhibits a good performance with maximum errors less than 0.5% in the AIx determination.
Keywords :
biomedical equipment; blood pressure measurement; blood vessels; cardiovascular system; data acquisition; deconvolution; diseases; electrocardiography; medical signal processing; patient diagnosis; patient monitoring; piezoelectric devices; pressure sensors; probability; wavelet transforms; AIx determination; arterial pressure waveform monitoring; cardiovascular diseases; cardiovascular dynamic properties; carotid artery; deconvolution method; diagnostic tools; electrocardiography; experimental approach; hemodynamic parameter assessment; in vivo data acquisitions; maximum errors; noninvasive cardiovascular system monitoring; original waveform recovering; peripheral arteries; piezoelectric probe output signal; piezoelectric sensor; probability density function; realistic simulation; theoretical approach; waveform delineation; wavelet transform; Artificial intelligence; In vivo; Monitoring; Probability density function; Probes; Wavelet transforms; Arterial Stiffness; Augmentation Index; Cardiovascular Diseases; Piezoelectric Sensor; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering (ENBENG), 2012 IEEE 2nd Portuguese Meeting in
Conference_Location :
Coimbra
Print_ISBN :
978-1-4673-4524-8
Type :
conf
DOI :
10.1109/ENBENG.2012.6331379
Filename :
6331379
Link To Document :
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