Volume 68 Issue 5
May  2024
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XIE Taorui, MA Xueran, CHEN Da, LIANG Junhui, DING Xiang. Research on Calibration Methods for Anesthetic Depth Monitoring Devices[J]. Metrology Science and Technology, 2024, 68(5): 32-36. doi: 10.12338/j.issn.2096-9015.2024.0016
Citation: XIE Taorui, MA Xueran, CHEN Da, LIANG Junhui, DING Xiang. Research on Calibration Methods for Anesthetic Depth Monitoring Devices[J]. Metrology Science and Technology, 2024, 68(5): 32-36. doi: 10.12338/j.issn.2096-9015.2024.0016

Research on Calibration Methods for Anesthetic Depth Monitoring Devices

doi: 10.12338/j.issn.2096-9015.2024.0016
  • Received Date: 2024-01-16
  • Accepted Date: 2024-02-22
  • Rev Recd Date: 2024-05-15
  • Available Online: 2024-05-30
  • Publish Date: 2024-05-18
  • To address the lack of calibration and performance evaluation methods for anesthetic depth monitoring devices, a new approach is proposed that utilizes real clinical electroencephalogram (EEG) signals to assess the measurement results of anesthetic depth indices. Using a custom-built anesthetic depth monitoring device testing system, EEG signals from young and elderly patients under anesthesia were input into three anesthetic depth monitoring devices, namely BIS index, CSI index, and Ai index. The consistency and repeatability of the measurement results were calculated and evaluated, and the correlation between the indices and the EEG signal spectrum was analyzed. The three indices showed good overall consistency in reflecting the changes in anesthetic state, but significant differences were observed during the anesthetic transition state and in samples from elderly patients. The results indicate that this method can be used for testing the three anesthetic depth monitoring devices and provides guidance for conducting metrological quality control of these devices.
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