Non-Contact Heartbeat Detection Based on Ballistocardiogram Using UNet and Bidirectional Long Short-Term Memory

Author:

Mai Yaozong1ORCID,Chen Zizhao1ORCID,Yu Baoxian1ORCID,Li Ye2ORCID,Pang Zhiqiang3,Han Zhang1ORCID

Affiliation:

1. School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China

2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

3. SENVIV Technology Company, Ltd, Guangzhou, China

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Blue Fire Innovation Project of the Ministry of Education

Science and Technology Project of Guangzhou

Special Funds for the Cultivation of Guangdong College Students’ Scientific and Technological Innovation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference39 articles.

1. The factors influence compatibility of pulse-pulse intervals with RR intervals;liu;Proc Annu Int Conf IEEE Eng Med Biol Soc,0

2. Analysis of correlation between body mass index (BMI) and brain wave using EEG for alpha and beta frequency band;kadir;Proc 5th Int Colloq Signal Process Appl,0

3. A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning

4. Preliminary results from BCG and ECG measurements in the heart failure clinic

5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comp -Assist Interv,0

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