1.Comparative Evaluation of Encephalon State Index and Bispectral Index in Monitoring the Depth of Anesthesia during the Surgical Anesthesia Stage
Sanchao LIU ; Nong YAN ; Xingliang JIN ; Xianliang HE ; Ke XIAO ; Hanyuan LUO ; Huacheng LUO ; Yongjun ZENG ; Jie QIN ; Yinbing YANG ; Yalan LI ; Lan GAO
Chinese Journal of Medical Instrumentation 2024;48(6):639-644
Objective Evaluate the performance of the encephalon state index(ESI)in depth of anesthesia monitoring during clinical surgery,compared with the bispectral index(BIS).Methods ESI and BIS data were collected from 60 patients in a single-center clinical trial to compare their efficacy in measuring the depth of anesthesia.Results Consistency analysis revealed mean differences and standard deviations of-0.18±5.42 and-0.11±6.51 between ESI and BIS for awake and anesthetized states,respectively.Correlation analysis showed a correlation coefficient of 0.92 throughout the operative period.Prediction probability analysis indicated that both ESI and BIS had prediction probabilities of 0.97,effectively predicting anesthesia status.Conclusion ESI and BIS show good equivalence in monitoring depth of anesthesia during clinical surgery,which meet the requirements of clinical anesthesia.
2.Development of Vital Signal Monitoring System Based on Accelerometer.
Jian CEN ; Xingliang JIN ; Sanchao LIU ; Huacheng LUO ; Nong YAN ; Xianliang HE ; Yumei MA ; Hanyuan LUO ; Jie QIN ; Yinbing YANG
Chinese Journal of Medical Instrumentation 2023;47(6):602-607
OBJECTIVE:
Reduce the number of false alarms and measurement time caused by movement interference by the sync waveform of the movement.
METHODS:
Vital signal monitoring system based on motion sensor was developed, which collected and processed the vital signals continuously, optimized the features and results of vital signals and transmitted the vital signal results and alarms to the interface.
RESULTS:
The system was tested in many departments, such as digestive department, cardiology department, internal medicine department, hepatobiliary surgery department and emergency department, and the total collection time was 1 940 h. The number of false electrocardiograph (ECG) alarms decreased by 82.8%, and the proportion of correct alarms increased by 28%. The average measurement time of non-invasive blood pressure (NIBP) decreased by 16.1 s. The total number of false respiratory rate measurement decreased by 71.9%.
CONCLUSIONS
False alarms and measurement failures can be avoided by the vital signal monitoring system based on accelerometer to reduce the alarm fatigue in clinic.
Humans
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Monitoring, Physiologic
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Electrocardiography
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Arrhythmias, Cardiac
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Blood Pressure
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Accelerometry
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Clinical Alarms