Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks

12 May 2017Peng SuXiao-Rong DingYuan-Ting ZhangJing LiuFen MiaoNi Zhao

Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics. As a result, these models suffer from accuracy decay over a long time and thus require frequent calibration... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Blood pressure estimation MIMIC-III Deep RNN MAE for SBP [mmHg] 8.54 # 1
MAE for DBP [mmHg] 6.7 # 1
Blood pressure estimation Multi-day Continuous BP Prediction Deep RNN RMSE 3.73 # 1

Methods used in the Paper


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