Tag: heartbeat
Bidirectional LSTM accepted to IEEE EMB!
April 28, 2021Congratulations to Gatorsense alumni, Changzhe Jiao and Chao Chen, as well as Alina Zare and collaborators Shuipong Guo, Dong Hai, Bo-Yu Su, Marjorie Skubic , Licheng Jiao and Domonic Ho! Their paper, “Non-Invasive Heart Rate Estimation from Ballistocardiograms using Bidirectional LSTM Regression,” was recently accepted to the IEEE Journal of Biomedical and Health Informatics (EMB). […]
Read more: Bidirectional LSTM accepted to IEEE EMB! »Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional LSTM Regression
April 28, 2021Abstract: Non-invasive heart rate estimation is of great importance in daily monitoring of cardiovascular diseases. In this paper, a bidirectional long short term memory (bi-LSTM) regression network is developed for non-invasive heart rate estimation from the ballistocardiograms (BCG) signals. The proposed deep regression model provides an effective solution to the existing challenges in BCG heart […]
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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring from Ballistocardiograms
June 15, 2017Abstract: A multiple instance dictionary learning approach, Dictionary Learning using Functions of Multiple Instances (DLFUMI), 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 pattern. DL-FUMI formulates heartbeat detection […]
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