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Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar
Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac...
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creator | Le, Minhhuy Luong, Van Su Dang Nguyen, Khoa Le, Tien Dat Le, Dang-Khanh |
description | Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac activities. The heartbeat signal is in order of magnitudes smaller than the respiration signal and is usually buried in a noisy signal. In this research, we propose a multivariate signal decomposition for efficiently extracting the heartbeat signal. The results show that the proposed method significantly improves the accuracy of the signal-to-noise ratio of the heartbeat signal compared to the recent advanced methods such as wavelet transform, singular spectral analysis, and multivariate singular spectral analysis. The proposed method also improves the stability of heartbeat monitoring in real-time applications. |
doi_str_mv | 10.1109/SSP53291.2023.10208009 |
format | conference_proceeding |
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Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac activities. The heartbeat signal is in order of magnitudes smaller than the respiration signal and is usually buried in a noisy signal. In this research, we propose a multivariate signal decomposition for efficiently extracting the heartbeat signal. The results show that the proposed method significantly improves the accuracy of the signal-to-noise ratio of the heartbeat signal compared to the recent advanced methods such as wavelet transform, singular spectral analysis, and multivariate singular spectral analysis. The proposed method also improves the stability of heartbeat monitoring in real-time applications.</description><identifier>EISSN: 2693-3551</identifier><identifier>EISBN: 9781665452458</identifier><identifier>EISBN: 1665452455</identifier><identifier>DOI: 10.1109/SSP53291.2023.10208009</identifier><language>eng</language><publisher>IEEE</publisher><subject>Heart beat ; Heartbeat signal extraction ; multivariate singular spectral analysis ; Remote sensing ; Smart home ; Smart homes ; Spectral analysis ; Stability analysis ; Ultra wideband radar ; Ultra-wideband impulse radar ; Wavelet analysis ; Wavelet transforms</subject><ispartof>2023 IEEE Statistical Signal Processing Workshop (SSP), 2023, p.290-294</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10208009$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27924,54554,54931</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10208009$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Le, Minhhuy</creatorcontrib><creatorcontrib>Luong, Van Su</creatorcontrib><creatorcontrib>Dang Nguyen, Khoa</creatorcontrib><creatorcontrib>Le, Tien Dat</creatorcontrib><creatorcontrib>Le, Dang-Khanh</creatorcontrib><title>Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar</title><title>2023 IEEE Statistical Signal Processing Workshop (SSP)</title><addtitle>SSP</addtitle><description>Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. 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The proposed method also improves the stability of heartbeat monitoring in real-time applications.</description><subject>Heart beat</subject><subject>Heartbeat signal extraction</subject><subject>multivariate singular spectral analysis</subject><subject>Remote sensing</subject><subject>Smart home</subject><subject>Smart homes</subject><subject>Spectral analysis</subject><subject>Stability analysis</subject><subject>Ultra wideband radar</subject><subject>Ultra-wideband impulse radar</subject><subject>Wavelet analysis</subject><subject>Wavelet transforms</subject><issn>2693-3551</issn><isbn>9781665452458</isbn><isbn>1665452455</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1UNtKxDAUjILgsvYPRPIDrScnlyaPuq66sKJYq49LTNMl0hu9iP69RdenYWZgmBlCLhgkjIG5zLInydGwBAF5wgBBA5gjEplUM6WkkCikPiYLVIbHXEp2SqJh-AAApjRyjQuSP0zVGD5tH-zoaRb2ja3ojXdt3bVDGEPb0LLt6WsYZ_1gr7_G3rpfbxpCs6f52zXd1N1UDZ4-28L2Z-SktDOLDrgk-e36ZXUfbx_vNqurbRwQxBhLZwojXKph7oLK2VKq97TwKKxXFjAVIFJwuhBQYMmFKUEb6VCkqNU8nS_J-V9u8N7vuj7Utv_e_T_BfwBHS1HH</recordid><startdate>20230702</startdate><enddate>20230702</enddate><creator>Le, Minhhuy</creator><creator>Luong, Van Su</creator><creator>Dang Nguyen, Khoa</creator><creator>Le, Tien Dat</creator><creator>Le, Dang-Khanh</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20230702</creationdate><title>Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar</title><author>Le, Minhhuy ; Luong, Van Su ; Dang Nguyen, Khoa ; Le, Tien Dat ; Le, Dang-Khanh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-5c9d94c78038226caf56b7de24ae6a02740470c8d40d2f349f0895c2472865323</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Heart beat</topic><topic>Heartbeat signal extraction</topic><topic>multivariate singular spectral analysis</topic><topic>Remote sensing</topic><topic>Smart home</topic><topic>Smart homes</topic><topic>Spectral analysis</topic><topic>Stability analysis</topic><topic>Ultra wideband radar</topic><topic>Ultra-wideband impulse radar</topic><topic>Wavelet analysis</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Le, Minhhuy</creatorcontrib><creatorcontrib>Luong, Van Su</creatorcontrib><creatorcontrib>Dang Nguyen, Khoa</creatorcontrib><creatorcontrib>Le, Tien Dat</creatorcontrib><creatorcontrib>Le, Dang-Khanh</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Le, Minhhuy</au><au>Luong, Van Su</au><au>Dang Nguyen, Khoa</au><au>Le, Tien Dat</au><au>Le, Dang-Khanh</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar</atitle><btitle>2023 IEEE Statistical Signal Processing Workshop (SSP)</btitle><stitle>SSP</stitle><date>2023-07-02</date><risdate>2023</risdate><spage>290</spage><epage>294</epage><pages>290-294</pages><eissn>2693-3551</eissn><eisbn>9781665452458</eisbn><eisbn>1665452455</eisbn><abstract>Remote sensing of vital signals, including respiration and heartbeat, is an important application used in smart homes, smart hospitals, or car driver assistant systems. Ultra-wideband impulse (UWB) radar recently became popular because of its ability to sense tiny motions from breathing and cardiac activities. The heartbeat signal is in order of magnitudes smaller than the respiration signal and is usually buried in a noisy signal. In this research, we propose a multivariate signal decomposition for efficiently extracting the heartbeat signal. The results show that the proposed method significantly improves the accuracy of the signal-to-noise ratio of the heartbeat signal compared to the recent advanced methods such as wavelet transform, singular spectral analysis, and multivariate singular spectral analysis. The proposed method also improves the stability of heartbeat monitoring in real-time applications.</abstract><pub>IEEE</pub><doi>10.1109/SSP53291.2023.10208009</doi><tpages>5</tpages></addata></record> |
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source | IEEE Xplore All Conference Series |
subjects | Heart beat Heartbeat signal extraction multivariate singular spectral analysis Remote sensing Smart home Smart homes Spectral analysis Stability analysis Ultra wideband radar Ultra-wideband impulse radar Wavelet analysis Wavelet transforms |
title | Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar |
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