DocumentCode :
2707205
Title :
Virtual instrumentation for clinical assessment of cardiovascular and autonomic function
Author :
Benitez, D.S. ; Zaidi, A. ; Fitchet, A. ; Gaydecki, P.A. ; Fitzpatrick, A.P.
Author_Institution :
Dept. of Instrum. & Anal. Sci., Univ. of Manchester Inst. of Sci. & Technol., UK
fYear :
2000
fDate :
2000
Firstpage :
313
Lastpage :
320
Abstract :
Information about the activity of the autonomic nervous system can be derived by an analysis of key physiological signals on a beat-to-beat basis. However, due the large amount of data and complex mathematical processing involved, analysis by hand is prohibitive. The solution developed facilitates this procedure by performing the entire processing on a dedicated stand-alone PC-based instrument incorporating existing medical equipment, a data acquisition board and a computer program to acquire and process the physiological signals. The automated virtual instrument was written using LabVIEW© as the main platform. The techniques implemented include impedance cardiography, time- and frequency-domain analysis, invasive and non-invasive baroreflex sensitivity assessment, and forearm blood flow measurements. The system was designed to study patients suffering vasovagal blackouts where the changes that occur in the heart and circulation during an attack could increase our understanding of the physiological processes which underlie their blackouts
Keywords :
biomedical equipment; blood flow measurement; cardiovascular system; data acquisition; frequency-domain analysis; medical signal processing; microcomputer applications; neurophysiology; time-domain analysis; virtual instrumentation; LabVIEW; autonomic function; autonomic nervous system; baroreflex sensitivity assessment; beat-to-beat analysis; cardiovascular function; clinical assessment; data acquisition board; forearm blood flow measurements; frequency-domain analysis; heart attack; impedance cardiography; medical equipment; physiological signals; standalone PC-based instrument; time-domain analysis; vasovagal blackouts; virtual instrumentation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476)
Conference_Location :
Bristol
ISSN :
0537-9989
Print_ISBN :
0-85296-728-4
Type :
conf
DOI :
10.1049/cp:20000354
Filename :
889988
Link To Document :
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