A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring.
Critical care explorations(2021)
摘要
We achieved a mean seizure sensitivity of 84% in cross-validation and 85% in testing, as well as a mean specificity of 83% in cross-validation and 86% in testing, corresponding to a high level of data reduction. This study validates a platform for machine learning-assisted continuous electroencephalogram analysis and represents a meaningful step toward improving utility and decreasing cost of continuous electroencephalogram monitoring. We also make our high-quality annotated dataset of 97 ICU continuous electroencephalogram recordings public for others to validate and improve upon our methods.
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关键词
critical care,electroencephalography,epilepsy,machine learning,seizures,software
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