Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network.

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Bibliographic Details
Title: Non-Contact Blood Pressure Prediction Using Radar with a Lightweight Temporal Multi-Scale Feature Fusion Network.
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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ISSN:1424-8220
DOI:10.3390/s26113468