An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network

This research proposes a noncontact heart rate measurement method using medical radar and artificial intelligence techniques. This technique has a significant role in the design and development of a wireless system that monitors the body’s vital signs. Firstly, based on a signal model describing che...

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Main Authors: Thanh Han-Trong, Hoang Nguyen Viet
Format: Article
Language:English
Published: Hindawi Limited 2022-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2022/4696163
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author Thanh Han-Trong
Hoang Nguyen Viet
author_facet Thanh Han-Trong
Hoang Nguyen Viet
author_sort Thanh Han-Trong
collection DOAJ
description This research proposes a noncontact heart rate measurement method using medical radar and artificial intelligence techniques. This technique has a significant role in the design and development of a wireless system that monitors the body’s vital signs. Firstly, based on a signal model describing chest surface movement, we propose a method to create a dataset for the training process using the long-short-term memory model. Secondly, a novel method to extract chest motion from the received radar signal is proposed. Finally, the heart rate will be estimated by using the obtained model and the received motion signal. The performance of the proposed method is evaluated through the root mean square error parameter as well as compared with other methods. Experimental results evaluated according to Bland–Altman achieved an accuracy of 96.67%.
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spelling doaj.art-0e8237e977074232a7a69ad59c4b06332022-12-22T04:41:23ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/4696163An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural NetworkThanh Han-Trong0Hoang Nguyen Viet1School of Electrical and Electronic EngineeringSchool of Electrical and Electronic EngineeringThis research proposes a noncontact heart rate measurement method using medical radar and artificial intelligence techniques. This technique has a significant role in the design and development of a wireless system that monitors the body’s vital signs. Firstly, based on a signal model describing chest surface movement, we propose a method to create a dataset for the training process using the long-short-term memory model. Secondly, a novel method to extract chest motion from the received radar signal is proposed. Finally, the heart rate will be estimated by using the obtained model and the received motion signal. The performance of the proposed method is evaluated through the root mean square error parameter as well as compared with other methods. Experimental results evaluated according to Bland–Altman achieved an accuracy of 96.67%.http://dx.doi.org/10.1155/2022/4696163
spellingShingle Thanh Han-Trong
Hoang Nguyen Viet
An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
Journal of Electrical and Computer Engineering
title An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
title_full An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
title_fullStr An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
title_full_unstemmed An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
title_short An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network
title_sort efficient heart rate measurement system using medical radar and lstm neural network
url http://dx.doi.org/10.1155/2022/4696163
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