DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Kawon | ko |
dc.contributor.author | Nibret, Bethelhem Nigat | ko |
dc.contributor.author | Hong, Songcheol | ko |
dc.date.accessioned | 2023-01-18T07:00:10Z | - |
dc.date.available | 2023-01-18T07:00:10Z | - |
dc.date.created | 2022-09-14 | - |
dc.date.created | 2022-09-14 | - |
dc.date.created | 2022-09-14 | - |
dc.date.issued | 2023-01 | - |
dc.identifier.citation | IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, v.33, no.1, pp.106 - 109 | - |
dc.identifier.issn | 1531-1309 | - |
dc.identifier.uri | http://hdl.handle.net/10203/304585 | - |
dc.description.abstract | A body motion artifact cancellation (BMAC) technique is proposed to detect human cough signals using a frequency-modulated continuous-wave (FMCW) radar. Human coughs are spontaneously accompanied by large-scale body motions, which overwhelm small-scale vibration signals induced by coughing. To mitigate these effects, motion-induced phase variations are estimated and compensated at respective frequencies of an FMCW signal. The cough signals are extracted from range profiles of the phase-compensated FMCW signals. This allows collecting cough signals at a fixed range bin, which are not so much distorted by range migrations due to the large-scale body motions. It is verified through both simulations and experiments. The experimental result shows that it can clearly detect human cough signals by removing body motion artifacts. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Body Motion Artifact Cancellation Technique for Cough Detection Using FMCW Radar | - |
dc.type | Article | - |
dc.identifier.wosid | 000849249200001 | - |
dc.identifier.scopusid | 2-s2.0-85186845584 | - |
dc.type.rims | ART | - |
dc.citation.volume | 33 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 106 | - |
dc.citation.endingpage | 109 | - |
dc.citation.publicationname | IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS | - |
dc.identifier.doi | 10.1109/LMWC.2022.3198174 | - |
dc.contributor.localauthor | Hong, Songcheol | - |
dc.contributor.nonIdAuthor | Nibret, Bethelhem Nigat | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Radar | - |
dc.subject.keywordAuthor | Vibrations | - |
dc.subject.keywordAuthor | Motion artifacts | - |
dc.subject.keywordAuthor | Radar detection | - |
dc.subject.keywordAuthor | Chirp | - |
dc.subject.keywordAuthor | Microphones | - |
dc.subject.keywordAuthor | Time-frequency analysis | - |
dc.subject.keywordAuthor | Biomedical radar | - |
dc.subject.keywordAuthor | body motion artifact | - |
dc.subject.keywordAuthor | cough detection | - |
dc.subject.keywordAuthor | frequency-modulated continuous-wave (FMCW) | - |
dc.subject.keywordAuthor | radar vibrometry | - |
dc.subject.keywordAuthor | vocal detection | - |
dc.subject.keywordPlus | SIGNAL-DETECTION | - |
dc.subject.keywordPlus | DOPPLER RADAR | - |
dc.subject.keywordPlus | FREQUENCY | - |
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