Dual-Radar Integration for Vital Signs Acquisition under Heavy Body Movement using Machine Learning-Reference-Cited by-同舟云学术

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Dual-Radar Integration for Vital Signs Acquisition under Heavy Body Movement using Machine Learning

Published:2024-06-25 Issue: Volume:20 Page:367-371
ISSN:
Container-title:2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
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Author:

Gomes Gonçalo¹,Gouveia Carolina²,Albuquerque Daniel³,Brás Susana¹,Pinho Pedro⁴

Affiliation:

1. IEETA, LASI, DETI, Universidade de Aveiro,Aveiro,Portugal,3810-193

2. Almascience, IEETA, DETI, LASI, Universidade de Aveiro,Aveiro,Portugal,3810-193

3. Instituto de Telecomunicações, ESTGA, Universidade de Aveiro,Águeda,Portugal,3750-127

4. Instituto de Telecomunicações, DETI, Universidade de Aveiro,Aveiro,Portugal,3810-193

Funder

European Regional Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608767.pdf?arnumber=10608767

Reference23 articles.

1. The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise

2. Physical Activity, All-Cause Mortality, and Longevity of College Alumni

3. Vital-Sign Extraction Using Bootstrap-Based Generalized Warblet Transform in Heart and Respiration Monitoring Radar System

4. Cancellation of Unwanted Doppler Radar Sensor Motion Using Empirical Mode Decomposition

5. Vital sign detection during large-scale and fast body movements based on an adaptive noise cancellation algorithm using a single doppler radar sensor;Yang,2020

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