Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network.
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| Title: | Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network. |
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| Authors: | Liu Y; School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Zhang T; School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China., Luo Y; Henan Medical College, Zhengzhou University, Zhengzhou 450001, China., Zhou L; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China., Ding L; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China., Li Y; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China.; Nantong Taiji Technology Co., Ltd., Nantong 226152, China.; Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China.; School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 May 31; Vol. 26 (11). Date of Electronic Publication: 2026 May 31. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42280983 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Liu+Y%22">Liu Y</searchLink>; School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Zhang+T%22">Zhang T</searchLink>; School of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Luo+Y%22">Luo Y</searchLink>; Henan Medical College, Zhengzhou University, Zhengzhou 450001, China.<br /><searchLink fieldCode="AU" term="%22Zhou+L%22">Zhou L</searchLink>; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Ding+L%22">Ding L</searchLink>; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Terahertz Spectrum and Imaging Technology, Co-Operative Innovation Center, Terahertz Technology Innovation Research Institute, University of Shanghai for Science and Technology, Shanghai 200093, China.; Nantong Taiji Technology Co., Ltd., Nantong 226152, China.; Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China.; School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2026 May 31; Vol. 26 (11). <i>Date of Electronic Publication: </i>2026 May 31. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101204366 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1424-8220 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214248220%22">14248220 </searchLink><i>NLM ISO Abbreviation: </i>Sensors (Basel) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42280983 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s26113468 Languages: – Code: eng Text: English Titles: – TitleFull: Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu Y – PersonEntity: Name: NameFull: Zhang T – PersonEntity: Name: NameFull: Luo Y – PersonEntity: Name: NameFull: Zhou L – PersonEntity: Name: NameFull: Ding L – PersonEntity: Name: NameFull: Li Y IsPartOfRelationships: – BibEntity: Dates: – D: 31 M: 05 Text: 2026 May 31 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1424-8220 Numbering: – Type: volume Value: 26 – Type: issue Value: 11 Titles: – TitleFull: Sensors (Basel, Switzerland) Type: main |
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