Anesthesia state monitoring method and apparatus

Abstract

The invention discloses an anesthesia state monitoring method and apparatus, and relates to the field of anesthesia monitoring. The monitoring method comprises the following steps: a signal collectionstep: acquiring an electroencephalogram signal, a heartbeat signal and a respiration signal; an analysis processing step: obtaining an electroencephalogram index through the feature extraction of theelectroencephalogram signal, and obtaining a cardiopulmonary index by analyzing the heartbeat signal and the respiration signal; and a result evaluation step: determining an anesthesia state based onthe cardiopulmonary index and the electroencephalogram index. According to the monitoring method and apparatus, the monitoring of a comprehensive anesthesia depth can be realized at the same time, the identification of changes of a sedation degree and analgesia degree can be realized, requirements of clinical anesthesia are met, a reference can be provided for the infusion of anesthesia administration, thereby a most suitable anesthesia state is provided for an anesthetized patient, and the too deep or too shallow anesthesia is avoided.

Description

technical field [0001] The invention relates to the field of anesthesia monitoring, in particular to an anesthesia state monitoring method and device. Background technique [0002] General anesthesia is the use of drugs or other methods to temporarily deprive the patient of feeling as a whole, so as to achieve the purpose of painless surgical treatment. Achieving general anesthesia requires the following: to render the patient unconscious (sedation); to eliminate pain (analgesia); to induce immobility (muscle relaxation); and to eliminate unwanted reflexes, such as pharyngeal spasms and cardiac arrhythmias (reflex depression) . According to clinical statistics, less than two-thirds of patients can receive high-quality anesthesia services, about 14% of patients are over-anesthetized, 16% of patients are under-anesthesia, and 10% of patients are under shallow and deep anesthesia. Sedation and anesthesia are too deep, and drug overdose will cause slow breathing, or even stop ...

AI Technical Summary

Problems solved by technology

In terms of analgesia, the indicators that anesthesiologists pay attention to include heart rate, mean arterial blood pressure (MAP) and other routine physiological parameters. Judging by the long-term clinical experience of anesthesiologists, there is no objective indicator

[0005] However, currently commonly used anesthesia monitoring instruments, such as BIS, ECG monitors and other equipment are configured independently, and medical resources are not well integrated into one; and the data compatibility between monitoring equipment is poor, and various monitoring connection lines are intricate. Make the operation unable to achieve multi-dimensional, multi-parameter automatic control

In addition, BIS monitoring equipment is expensive, and the hospital cannot monitor the depth of anesthesia for all operations, which also increases the treatment cost of patients

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