Paper
24 April 1996 Novel method and system for anesthetization monitoring
Mingwei Shu, Xuedong Chi, Zhicheng Luo
Author Affiliations +
Abstract
Conventional monitoring of the anesthetization process relies on the measurement of the blood pressure and heart rate, and on human observations. Such measures and observations do not provide specific assessment of the depth and other aspects of anesthesia, and the overall monitoring process, which is largely based on human experience, is subjective and qualitative at best. We have developed a novel method for anesthetization monitoring which provides quantitative assessment of anesthesia by way of monitoring and on-line analyzing the dynamic processes of anesthesia, muscle relaxation, and pain reaction. Specifically, we have developed a microcomputer-based system that can simultaneously measure the EMG signals from the diaphragm muscle and soleus musculus, the contraction signals of both the striated and smooth muscles of the esophagus, and the ECG. Statistical and other characteristics of these signals in relation to the anesthetization process are analyzed in real-time, and the results are stored and printed out in an on-going process. Clinical trials with this system demonstrate the feasibility of the new monitoring method and the potential clinical applications of the system. Actual tests with the system show strong correlations between the statistical characteristics produced by the monitoring system and the various aspects of anesthesia, muscle relaxation, and pain reaction. These findings suggest that our system provides a more complete set of real-time quantitative measures of the biomedical processes relevant to anesthesia that can be used to provide objective assessment of the anesthetization process.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingwei Shu, Xuedong Chi, and Zhicheng Luo "Novel method and system for anesthetization monitoring", Proc. SPIE 2676, Biomedical Sensing, Imaging, and Tracking Technologies I, (24 April 1996); https://doi.org/10.1117/12.238806
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KEYWORDS
Signal processing

Electromyography

Esophagus

Blood pressure

Electrocardiography

Clinical trials

Digital signal processing

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