Tag: recurrent neural network
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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