基于运动传感器辅助的生理信号监护系统开发

      Development of Vital Signal Monitoring System Based on Accelerometer

      • 摘要: 目的 通过同步的运动信息,减少因运动干扰导致的误报警数量以及测量时间。方法 开发了一种基于运动传感器辅助的生理信号监护系统,可连续采集和实时处理生理参数数据,并基于加速度传感器对生理信号的过程特征及参数结果进行优化,可将参数结果和报警实时传输至用户端。结果 系统在消化科、心内科、内科、肝胆外科和急诊科多个科室进行验证,数据采集时长为1 940 h。心电(electrocardiograph, ECG)误报警数量减少82.8%,心电正确报警的占比上升28%;无创血压(non-invasive blood pressure, NIBP)测量时间平均下降16.1 s;呼吸率的测量错误次数减少71.9%。结论 基于运动传感器辅助的生理信号监护系统可以有效纠正运动干扰下的误报警和减少测量失败的情况,有助于改善临床监护的报警疲劳。

         

        Abstract: 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%. Conclusion False alarms and measurement failures can be avoided by the vital signal monitoring system based on accelerometer to reduce the alarm fatigue in clinic.

         

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