Title
Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms.
Abstract
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. DL-FUMI estimates a “heartbeat concept” that represents an individual's personal ballistocardiogram heartbeat...
Year
DOI
Venue
2018
10.1109/TBME.2018.2812602
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Heart rate variability,Dictionaries,Heart beat,Monitoring,Machine learning,Training
Heart rate monitoring,Heartbeat,Dictionary learning,Pattern recognition,Speech recognition,Ground truth,Artificial intelligence,Beat (music),Heart rate,Heartbeat detection,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
65
11
0018-9294
Citations 
PageRank 
References 
0
0.34
29
Authors
6
Name
Order
Citations
PageRank
Changzhe Jiao1134.82
Bo Yu Su2333.23
Princess Lyons300.34
Alina Zare429732.19
Dominic K. C. Ho577259.70
Marjorie Skubic61045105.36