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Medical Device Alarms - The Statistician

机译:医疗设备警报-统计员

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The high rate of false alarms triggered by medical devices raises concerns over the reliability of current clinical alarm systems. In close cooperation between physicians, statisticians and engineers within the Collaborative Research Centre SFB 475, we have worked on improved alarm algorithms for online monitoring in intensive care. In current clinical practice there are procedures based on simple fixed thresholds, which give many false alarms because of e.g. measurement artifacts and short-term fluctuations around the pre-specified thresholds. Most of these unnecessary alarms can be avoided by applying robust filtering techniques. A further challenge is the high dimension of the data, which can be handled by suitable techniques for dimension reduction. The new alarm algorithms have been developed and validated against large annotated clinical data sets.
机译:由医疗设备触发的误报率很高,引起了人们对当前临床报警系统可靠性的担忧。在协作研究中心SFB 475的医师,统计学家和工程师之间的密切合作下,我们致力于改进警报算法,用于重症监护的在线监测。在当前的临床实践中,存在基于简单的固定阈值的过程,由于例如阈值,该阈值给出许多错误警报。测量伪影和预定阈值附近的短期波动。通过应用可靠的过滤技术,可以避免大多数这些不必要的警报。另一个挑战是数据的高维,可以通过适当的降维技术来处理。新的警报算法已针对大型注释临床数据集进行了开发和验证。

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