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High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter
Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196719/ https://www.ncbi.nlm.nih.gov/pubmed/34064145 http://dx.doi.org/10.3390/s21113588 |
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author | Iwata, Yuki Thanh, Han Trong Sun, Guanghao Ishibashi, Koichiro |
author_facet | Iwata, Yuki Thanh, Han Trong Sun, Guanghao Ishibashi, Koichiro |
author_sort | Iwata, Yuki |
collection | PubMed |
description | Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals. Herein, we propose a novel method based on a matched filter to solve this problem. The method comprises two processes: adaptive generation of a template via singular value decomposition of a trajectory matrix formed from the measurement signals, and reconstruction by convolution of the generated template and measurement signals. The method is validated using a dataset obtained in two different experiments, i.e., experiments involving supine and seated subject postures. Absolute errors in heart rate and standard deviation of heartbeat interval with references were calculated as [Formula: see text] and [Formula: see text] for the lying posture, and [Formula: see text] and [Formula: see text] for the sitting posture. |
format | Online Article Text |
id | pubmed-8196719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81967192021-06-13 High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter Iwata, Yuki Thanh, Han Trong Sun, Guanghao Ishibashi, Koichiro Sensors (Basel) Article Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals. Herein, we propose a novel method based on a matched filter to solve this problem. The method comprises two processes: adaptive generation of a template via singular value decomposition of a trajectory matrix formed from the measurement signals, and reconstruction by convolution of the generated template and measurement signals. The method is validated using a dataset obtained in two different experiments, i.e., experiments involving supine and seated subject postures. Absolute errors in heart rate and standard deviation of heartbeat interval with references were calculated as [Formula: see text] and [Formula: see text] for the lying posture, and [Formula: see text] and [Formula: see text] for the sitting posture. MDPI 2021-05-21 /pmc/articles/PMC8196719/ /pubmed/34064145 http://dx.doi.org/10.3390/s21113588 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Iwata, Yuki Thanh, Han Trong Sun, Guanghao Ishibashi, Koichiro High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title | High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title_full | High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title_fullStr | High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title_full_unstemmed | High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title_short | High Accuracy Heartbeat Detection from CW-Doppler Radar Using Singular Value Decomposition and Matched Filter |
title_sort | high accuracy heartbeat detection from cw-doppler radar using singular value decomposition and matched filter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196719/ https://www.ncbi.nlm.nih.gov/pubmed/34064145 http://dx.doi.org/10.3390/s21113588 |
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