Advancements in noninvasive blood pressure measurement: a comprehensive review of cuffed, cuffless, and contactless methods
| dc.contributor.author | Kauzlaričová, Terezie | |
| dc.contributor.author | Augustynek, Martin | |
| dc.contributor.author | Kubíček, Jan | |
| dc.date.accessioned | 2026-04-27T08:11:55Z | |
| dc.date.available | 2026-04-27T08:11:55Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | Recent advances in noninvasive blood pressure (BP) monitoring are transforming the field, offering alternatives to traditional cuff-based methods that are often limited by discomfort and intermittent measurement. Following PRISMA guidelines, this review systematically analyses studies published between 2020 and 2024, categorizing current BP measurement techniques into cuff-based, cuffless, and contactless methods. Special attention is given to emerging technologies such as photoplethysmography (PPG), electrocardiography (ECG), bioimpedance (BIOZ), radar sensing, and remote PPG (rPPG), as well as the integration of artificial intelligence (AI) for signal processing and BP estimation. This review evaluates the comparative performance, clinical relevance, and readiness for real-world application across modalities. While cuffless and contactless approaches show significant promise for continuous and user-friendly monitoring, their accuracy often depends on calibration, multimodal data fusion, and robust algorithm design. Ethical considerations related to unobtrusive monitoring are also discussed. This work highlights current limitations, identifies future research opportunities, and supports the development of next-generation, AI-driven BP monitoring systems suitable for both clinical and consumer use. | |
| dc.description.firstpage | art. no. 4000730 | |
| dc.description.source | Web of Science | |
| dc.description.volume | 75 | |
| dc.identifier.citation | IEEE Transactions on Instrumentation and Measurement. 2026, vol. 75, art. no. 4000730. | |
| dc.identifier.doi | 10.1109/TIM.2025.3650271 | |
| dc.identifier.issn | 0018-9456 | |
| dc.identifier.issn | 1557-9662 | |
| dc.identifier.uri | http://hdl.handle.net/10084/158494 | |
| dc.identifier.wos | 001663376500005 | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartofseries | IEEE Transactions on Instrumentation and Measurement | |
| dc.relation.uri | https://doi.org/10.1109/TIM.2025.3650271 | |
| dc.rights | © 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. | |
| dc.rights.access | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | artificial intelligence | |
| dc.subject | biomedical measurement | |
| dc.subject | biomedical monitoring | |
| dc.subject | blood pressure (BP) measurement | |
| dc.subject | machine learning | |
| dc.subject | noninvasive measurement | |
| dc.subject | wearable health monitoring | |
| dc.title | Advancements in noninvasive blood pressure measurement: a comprehensive review of cuffed, cuffless, and contactless methods | |
| dc.type | article | |
| dc.type.status | Peer-reviewed | |
| dc.type.version | publishedVersion | |
| local.files.count | 1 | |
| local.files.size | 10030037 | |
| local.has.files | yes |
Collections
Publikační činnost VŠB-TUO ve Web of Science / Publications of VŠB-TUO in Web of Science
OpenAIRE
Publikační činnost Katedry kybernetiky a biomedicínského inženýrství / Publications of Department of Cybernetics and Biomedical Engineering (450)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals
OpenAIRE
Publikační činnost Katedry kybernetiky a biomedicínského inženýrství / Publications of Department of Cybernetics and Biomedical Engineering (450)
Články z časopisů s impakt faktorem / Articles from Impact Factor Journals