Liu Mengxing, Sun Zehui, Ye Wenyu, Liu Sanchao, He Xianliang, Wang Cheng, Li Ye
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518000.
Shenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, 518057.
Zhongguo Yi Liao Qi Xie Za Zhi. 2020 Dec 8;44(6):481-486. doi: 10.3969/j.issn.1671-7104.2020.06.003.
In order to solve alarm fatigue, the algorithm optimization strategies were researched to reduce false and worthless alarms.
A four-lead arrhythmia analysis algorithm, a multiparameter fusion analysis algorithm, an intelligent threshold reminder, a refractory period delay technique were proposed and tested with collected 28 679 alarms in multi-center study.
The sampling survey indicate that the 80.8% of arrhythmia false alarms were reduced by the four-lead analysis, the 55.9% of arrhythmia and pulse false alarms were reduced by the multi-parameter fusion analysis, the 28.0% and 29.8% of clinical worthless alarms were reduced by the intelligent threshold and refractory period delay techniques respectively. Finally, the total quantity of alarms decreased to 12 724.
To increase the dimensionality of parametric analysis and control the alarm limits and delay time are conducive to reduce alarm fatigue in intensive care units.
为解决警报疲劳问题，研究算法优化策略以减少误报和无价值警报。
提出一种四导联心律失常分析算法、一种多参数融合分析算法、智能阈值提醒、不应期延迟技术，并在多中心研究中对收集的28679条警报进行测试。
抽样调查表明，四导联分析减少了80.8%的心律失常误报，多参数融合分析减少了55.9%的心律失常和脉搏误报，智能阈值和不应期延迟技术分别减少了28.0%和29.8%的临床无价值警报。最后，警报总数降至12724条。
增加参数分析维度并控制警报限值和延迟时间有助于减少重症监护病房的警报疲劳。
