mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning.
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| Title: | mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning. |
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| Authors: | Iyer S; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore., Zhao L; SCALE @ NTU Corp Lab, Nanyang Technological University, Singapore 639798, Singapore.; NCS Group, Singapore 469272, Singapore., Mohan MP; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore., Jimeno J; SCALE @ NTU Corp Lab, Nanyang Technological University, Singapore 639798, Singapore.; NCS Group, Singapore 469272, Singapore., Siyal MY; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.; SCALE @ NTU Corp Lab, Nanyang Technological University, Singapore 639798, Singapore., Alphones A; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.; SCALE @ NTU Corp Lab, Nanyang Technological University, Singapore 639798, Singapore., Karim MF; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.; SCALE @ NTU Corp Lab, Nanyang Technological University, Singapore 639798, Singapore. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Apr 19; Vol. 22 (9). Date of Electronic Publication: 2022 Apr 19. |
| 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 |
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| DOI: | 10.3390/s22093106 |
