An Intelligent Signal Processing Method for Motional Vital Signs Detection System Based on Deep Learning-Reference-Cited by-同舟云学术

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An Intelligent Signal Processing Method for Motional Vital Signs Detection System Based on Deep Learning

Published:2022 Issue: Volume:10 Page:106463-106481
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Siyun¹^ORCID,Qi Qingjie¹^ORCID,Cheng Huifeng¹,Zhang Jingwen¹,Xian Wenhao¹,Ma Tianfang¹,Wang Yue¹,Liu Yingjie¹,Li Dan¹,Chai Jiamei¹

Affiliation:

1. Emergency Research Institute, Chinese Institute of Coal Science (CICS), Beijing, China

Funder

National Natural Science Foundation of China

Project of China Coal Industry Group Company Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09910163.pdf?arnumber=9910163

Reference41 articles.

1. Indoor Activity and Vital Sign Monitoring for Moving People with Multiple Radar Data Fusion

2. UWB localization employing supervised learning method

3. Improved Detection of Human Respiration Using Data Fusion Basedon a Multistatic UWB Radar

4. CNN-Based Regional People Counting Algorithm Exploiting Multi-Scale Range-Time Maps With an IR-UWB Radar

5. A Vital Signs Fast Detection and Extraction Method of UWB Impulse Radar Based on SVD

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