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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms
A multiple instance dictionary learning approach, Dictionary Learning using Functions of Multiple Instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signals collected with a hydraulic bed sensor.
Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances
The goal of this approach is to learn a personalized heartbeat "concept" for an individual.
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