A real-time monitor using wavelet analysis of the Doppler heart sound for the detection of venous air embolism

Author

Chan, Brent C B ; Chan, Francis H Y ; Lui, P.W. ; Poon, Paul W F ; Lam, F.K. ; Wang, H.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong

Volume

1

fYear

1997

fDate

9-12 Jun 1997

Firstpage

189

Abstract

A fast detection algorithm for venous air embolism (VAE) was developed and implemented as a real-time monitor for detecting embolic heart sound and estimating embolic air volume. Its performance was evaluated under bolus injection of sub-clinical (0.0l to 0.80 ml) and continuous infusion of clinically significant (0.80 to 9.60 ml) air volumes in anaesthetized dogs. The clinically significant air emboli could be estimated based on the calibration curve obtained during sub-clinical VAE for a subject. The monitor also kept track of the cumulative embolic air volumes and alerted the anaesthetists once a predefined clinically significant embolic air volume was reached. As both humans and dogs share similar physiological conditions, our monitor for dogs are expected to be applicable to humans

Keywords

Doppler measurement; cardiology; medical signal processing; patient monitoring; wavelet transforms; Doppler heart sound; anaesthetized dog; bolus injection; calibration curve; clinical VAE; continuous infusion; detection algorithm; embolic air volume; real-time monitor; sub-clinical VAE; venous air embolism; wavelet analysis; Algorithm design and analysis; Artificial intelligence; Calibration; Detection algorithms; Dogs; Heart; Humans; Patient monitoring; Signal analysis; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.608662

Filename

608662