Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform

Q2

Lưu vào:
Hiển thị chi tiết
Tác giả chính: Nguyen, Dinh Chinh
Đồng tác giả: Luu, Manh Ha
Định dạng: Bài Báo
Ngôn ngữ:English
Nhà xuất bản: Biomedical Signal Processing and Control 2021
Chủ đề:
EMD
Truy cập trực tuyến:https://www.sciencedirect.com/science/article/abs/pii/S1746809420304699?via%3Dihub#!
https://dlib.phenikaa-uni.edu.vn/handle/PNK/1755
https://doi.org/10.1016/j.bspc.2020.102361
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spelling oai:localhost:PNK-17552022-08-17T05:54:53Z Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform Nguyen, Dinh Chinh Luu, Manh Ha Sun, Guanghao Le, Quoc Anh Pham, Viet Huong Tran, Anh Vu Tran, Trong Hieu Tran, Duc Tan Nguyen, Vu Trung Ishibashi, Koichiro Nguyen, Linh Trung Continuous-wave Doppler radar Dengue fever screening Heart rate EMD Q2 Contactless measurement of cardio-vascular pulse acts an essential role in clinical medical sectors. Estimating cardio-vascular pulses based on continuous-wave (CW) Doppler radar in limited time while maintaining the accuracy is a challenging task. In this paper, we propose a signal processing method that combines empirical mode decomposition (EMD) and continuous wavelet transform (CWT) for a short time estimation of heart rate (HR) and inter-beat-interval from radar signals. We evaluate performance of the proposed method using 85 patients with dengue fever and 40 healthy subjects. Subsequently, the estimated contactless HR is compared to that of a commercial contact-type medical device. The result shows that the HR can be estimated within a period of 5 s with an accuracy of 96.2 ± 2.5%. The patients with dengue fever show an elevated HR and a decreased standard deviation of heartbeat interval (SDHI). Finally, linear discriminant analysis (LDA) is utilized with two parameters HR and SDHI to classify the dengue patients, achieving the sensitivity and specificity values of 86.3% and 86.9%, respectively. 2021-06-14T09:43:52Z 2021-06-14T09:43:52Z 2021 Article Working Paper https://www.sciencedirect.com/science/article/abs/pii/S1746809420304699?via%3Dihub#! https://dlib.phenikaa-uni.edu.vn/handle/PNK/1755 https://doi.org/10.1016/j.bspc.2020.102361 en application/pdf Biomedical Signal Processing and Control
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Continuous-wave Doppler radar
Dengue fever screening
Heart rate
EMD
spellingShingle Continuous-wave Doppler radar
Dengue fever screening
Heart rate
EMD
Nguyen, Dinh Chinh
Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
description Q2
author2 Luu, Manh Ha
author_facet Luu, Manh Ha
Nguyen, Dinh Chinh
format Article
author Nguyen, Dinh Chinh
author_sort Nguyen, Dinh Chinh
title Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
title_short Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
title_full Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
title_fullStr Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
title_full_unstemmed Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform
title_sort short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave doppler radar using empirical mode decomposition and continuous wavelet transform
publisher Biomedical Signal Processing and Control
publishDate 2021
url https://www.sciencedirect.com/science/article/abs/pii/S1746809420304699?via%3Dihub#!
https://dlib.phenikaa-uni.edu.vn/handle/PNK/1755
https://doi.org/10.1016/j.bspc.2020.102361
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