Multi-level information fusion for learning a blood pressure predictive model using sensor data
Abstract
The availability of commercial wearable bio-sensors provides an opportunity for developing smart phone applications for real-time diagnosis that can be used to improve the health of the user. We propose a multi-level information fusion approach for learning a predictive model for blood pressure (BP) using electrocardiogram (ECG) sensor data. The approach fuses the information on five different levels: i) data collection, where data from multiple...
Paper Details
Title
Multi-level information fusion for learning a blood pressure predictive model using sensor data
Published Date
Jun 1, 2020
Journal
Volume
58
Pages
24 - 39
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