Litcius/Paper detail

A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms

Stephanie Baker, Wei Xiang, Ian Atkinson

2022Knowledge-Based Systems47 citationsDOI

Topics & Concepts

PhotoplethysmogramComputer scienceWaveformArtificial intelligenceArtificial neural networkPattern recognition (psychology)Blood pressureComputer visionTelecommunicationsMedicineInternal medicineFilter (signal processing)RadarNon-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic ControlECG Monitoring and Analysis
A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms | Litcius