PMID- 33945489
OWN - NLM
STAT- MEDLINE
DCOM- 20211021
LR  - 20211021
IS  - 2168-2208 (Electronic)
IS  - 2168-2194 (Linking)
VI  - 25
IP  - 9
DP  - 2021 Sep
TI  - Non-Invasive Heart Rate Estimation From Ballistocardiograms Using Bidirectional 
      LSTM Regression.
PG  - 3396-3407
LID - 10.1109/JBHI.2021.3077002 [doi]
AB  - 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 rate 
      estimation, such as the mismatch between the BCG signals and ground-truth 
      reference, multi-sensor fusion and effective time series feature learning. 
      Allowing label uncertainty in the estimation can reduce the manual cost of data 
      annotation while further improving the heart rate estimation performance. 
      Compared with the state-of-the-art BCG heart rate estimation methods, the strong 
      fitting and generalization ability of the proposed deep regression model 
      maintains better robustness to noise (e.g., sensor noise) and perturbations 
      (e.g., body movements) in the BCG signals and provides a more reliable solution 
      for long term heart rate monitoring.
FAU - Jiao, Changzhe
AU  - Jiao C
FAU - Chen, Chao
AU  - Chen C
FAU - Gou, Shuiping
AU  - Gou S
FAU - Hai, Dong
AU  - Hai D
FAU - Su, Bo-Yu
AU  - Su BY
FAU - Skubic, Marjorie
AU  - Skubic M
FAU - Jiao, Licheng
AU  - Jiao L
FAU - Zare, Alina
AU  - Zare A
FAU - Ho, K C
AU  - Ho KC
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20210903
PL  - United States
TA  - IEEE J Biomed Health Inform
JT  - IEEE journal of biomedical and health informatics
JID - 101604520
SB  - IM
MH  - *Ballistocardiography
MH  - Data Curation
MH  - Heart Rate
MH  - Humans
MH  - Monitoring, Physiologic
MH  - Movement
EDAT- 2021/05/05 06:00
MHDA- 2023/02/25 06:00
CRDT- 2021/05/04 17:26
PHST- 2021/05/05 06:00 [pubmed]
PHST- 2023/02/25 06:00 [medline]
PHST- 2021/05/04 17:26 [entrez]
AID - 10.1109/JBHI.2021.3077002 [doi]
PST - ppublish
SO  - IEEE J Biomed Health Inform. 2021 Sep;25(9):3396-3407. doi: 
      10.1109/JBHI.2021.3077002. Epub 2021 Sep 3.