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Author Hong Wang ♦ Le Yi Wang
Sponsorship IEEE Sensors Council
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2003
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Anesthesia ♦ Acoustic sensors ♦ Acoustic measurements ♦ Acoustic noise ♦ Signal processing ♦ Computerized monitoring ♦ Information processing ♦ Stethoscope ♦ Patient monitoring ♦ Acoustic signal processing
Abstract Typically, intro-operative respiratory auscultation for ventilated patients is performed periodically by an anesthesiologist using stethoscopes. Continuous monitoring, recording and computer-assisted signal processing of respiratory sounds can provide critical information in assisting diagnosis and anesthesia management. This is especially useful in situations of airway complications such as asthma, pulmonary edema, bronchial intubation, pheumothorax, spasm, tube malfunctioning, etc. Technology development of a sensor and information processing system for continuous respiratory sound monitoring will enhance diagnosis capability that is currently provided by many measured variables such as airway pressure, flow rate, O/sub 2/ and CO/sub 2/ levels, blood O/sub 2/ saturation, etc. This paper reports a preliminary effort towards developing such a system.The system will use multiple acoustic sensors (accelerometers) to measure respiratory sounds at designated auscultation sites. To attenuate noise artifacts in measured signals, noise reference sensors will be applied; Sensor signals will be scaled, synchronized and amplified by a multi-channel sound adaptor, and then inputted into a computer. The signals are first processed for noise attenuation and signal separation. The clarified signals are then combined with other measured signals for information processing and diagnosis.
Description Author affiliation: Dept. of Anesthesiology, Wayne State Univ., Detroit, MI, USA (Hong Wang)
ISBN 0780381335
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2003-10-22
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 247.92 kB
Page Count 4
Starting Page 1002
Ending Page 1005


Source: IEEE Xplore Digital Library