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HEAR: Approach for Heartbeat Monitoring with Body Movement Compensation by IR-UWB Radar
https://uec.repo.nii.ac.jp/records/9082
https://uec.repo.nii.ac.jp/records/9082c21bc7b8-3df2-4bcc-a8e2-9f1e0623b149
名前 / ファイル | ライセンス | アクション |
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sensors-18-03077 (1.6 MB)
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Creative Commons Attribution (CC BY) license
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-04-08 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | HEAR: Approach for Heartbeat Monitoring with Body Movement Compensation by IR-UWB Radar | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題 | electrocardiography | |||||
キーワード | ||||||
言語 | en | |||||
主題 | ultra wide band radar | |||||
キーワード | ||||||
言語 | en | |||||
主題 | variational nonlinear chirp mode decomposition | |||||
キーワード | ||||||
言語 | en | |||||
主題 | large body movement compensation | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Yin, Wenfeng
× Yin, Wenfeng× Yang, Xiuzhu× Li, Lei× Zhang, Lin× Kitsuwan, Nattapong× Oki, Eiji |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Further applications of impulse radio ultra-wideband radar in mobile health are hindered by the difficulty in extracting such vital signals as heartbeats from moving targets. Although the empirical mode decomposition based method is applied in recovering waveforms of heartbeats and estimating heart rates, the instantaneous heart rate is not achievable. This paper proposes a Heartbeat Estimation And Recovery (HEAR) approach to expand the application to mobile scenarios and extract instantaneous heartbeats. Firstly, the HEAR approach acquires vital signals by mapping maximum echo amplitudes to the fast time delay and compensating large body movements. Secondly, HEAR adopts the variational nonlinear chirp mode decomposition in extracting instantaneous frequencies of heartbeats. Thirdly, HEAR extends the clutter removal method based on the wavelet decomposition with a two-parameter exponential threshold. Compared to heart rates simultaneously collected by electrocardiograms (ECG), HEAR achieves a minimum error rate 4.6% in moving state and 2.25% in resting state. The Bland–Altman analysis verifies the consistency of beat-to-beat intervals in ECG and extracted heartbeat signals with the mean deviation smaller than 0.1 s. It indicates that HEAR is practical in offering clinical diagnoses such as the heart rate variability analysis in mobile monitoring. | |||||
書誌情報 |
en : Sensors 巻 18, 号 9, p. 3077, 発行日 2018-09-13 |
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出版者 | ||||||
出版者 | MDPI | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1424-8220 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.3390/s18093077 | |||||
権利 | ||||||
権利情報 | (c) 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.3390/s18093077 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |