Publication: Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection
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Muroi, C., Meier, S., De Luca, V., Mack, D. J., Strässle, C., Schwab, P., Karlen, W., & Keller, E. (2020). Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection. Neurocritical Care, 32(2), 419–426. https://doi.org/10.1007/s12028-019-00711-w
Abstract
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BACKGROUND: Contemporary monitoring systems are sensitive to motion artifacts and cause an excess of false alarms. This results in alarm fatigue and hazardous alarm desensitization. To reduce the number of false alarms, we developed and validated a novel algorithm to classify alarms, based on automatic motion detection in videos.
METHODS: We considered alarms generated by the following continuously measured parameters: arterial oxygen saturation, systolic blood pressure, mean blood pressure, heart rate, and mean intracranial pressure
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- Muroi, Carl
- Meier, Sando
- De Luca, Valeria
- Mack, David J
- Strässle, Christian
- Schwab, Patrick
- Karlen, Walter
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Muroi, C., Meier, S., De Luca, V., Mack, D. J., Strässle, C., Schwab, P., Karlen, W., & Keller, E. (2020). Automated False Alarm Reduction in a Real-Life Intensive Care Setting Using Motion Detection. Neurocritical Care, 32(2), 419–426. https://doi.org/10.1007/s12028-019-00711-w
