A two-layer bidirectional GRU classifier on heart rate and mean blood pressure time series is reported to detect syncope about ten minutes before a manual marker at roughly 90% accuracy.
Mapping neural networks to FPGA-based IoT de- vices for ultra-low latency processing.Sensors, 19(13), 2019
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Falls Prediction in eldery people using Gated Recurrent Units
A two-layer bidirectional GRU classifier on heart rate and mean blood pressure time series is reported to detect syncope about ten minutes before a manual marker at roughly 90% accuracy.