Touchless monitoring in medical-surgical nursing: clinical applications of radar, camera-based and contact-free vital sign technologies: a narrative review
DOI:
https://doi.org/10.18203/2320-6012.ijrms20263149Keywords:
Artificial intelligence, Contact-free monitoring, Digital health, Medical-surgical nursing, Patient safety, Radar-based monitoringAbstract
Touchless monitoring technologies have emerged as an innovative approach to continuous physiological surveillance in medical-surgical nursing by enabling the assessment of vital signs without direct physical contact. Conventional contact-based monitoring systems, although reliable, are associated with limitations such as patient discomfort, skin injury, sensor displacement, false alarms and increased risk of infection transmission. Recent advances in radar-based sensing, camera-based monitoring, remote photoplethysmography, thermal infrared imaging, radiofrequency sensing, ballistocardiography and artificial intelligence (AI) have facilitated accurate, real-time monitoring of respiratory rate, heart rate, body temperature, movement patterns, sleep behaviour and tissue perfusion. This narrative review summarizes current evidence regarding the principles, clinical applications, advantages, challenges and future directions of touchless monitoring technologies in medical-surgical nursing. The reviewed literature indicates that these technologies can enhance early recognition of physiological deterioration, improve patient comfort, preserve skin integrity, reduce unnecessary physical contact and strengthen patient safety across postoperative care, intensive care, burn management, rehabilitation, infection prevention and remote patient monitoring. AI-driven predictive analytics further improve clinical decision-making by identifying subtle physiological changes before overt deterioration occurs. Despite these advantages, barriers including measurement accuracy, motion artefacts, interoperability, cybersecurity, implementation costs, ethical concerns and workforce preparedness continue to limit widespread clinical adoption. Touchless monitoring should be considered a complementary clinical decision-support tool that augments rather than replaces comprehensive nursing assessment. Continued technological innovation, rigorous clinical validation, standardized implementation strategies and ongoing nursing education are essential for the safe, effective and ethical integration of these technologies into evidence-based medical-surgical nursing practice.
References
World Health Organization. Global strategy on digital health 2020-2027. World Health Organization. 2025.
World Health Organization. Global patient safety action plan 2021-2030: towards eliminating avoidable harm in health care. World Health Organization. 2021.
Lindberg C, Brinchmann BS. Nurses and global health responsibility: in light of the COVID‐19 pandemic and the war in Ukraine. Int Nurs Rev. 2023;70(2):141-4.
Hassanpour A, Yang B. Contactless vital sign monitoring: a review towards multi-modal multi-task approaches. Sensors (Basel). 2025;25(15):4792.
Saikevičius L, Raudonis V, Dervinis G, Baranauskas V. Non-contact vision-based techniques of vital sign monitoring: systematic review. Sensors (Basel). 2024;24(12):3963.
Molinaro N, Schena E, Silvestri S, Massaroni C. Contactless vital signs monitoring from videos recorded with digital cameras: an overview. Front Physiol. 2022;13:801709.
McDuff D. Camera measurement of physiological vital signs. ACM Computing Surveys. 2023;55(9):1-40.
Chen W, Yi Z, Lim LJ, Lim RQ, Zhang A, Qian Z, et al. Deep learning and remote photoplethysmography powered advancements in contactless physiological measurement. Front Bioengine Biotechnol. 2024;12:1420100.
Debnath U, Kim S. A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning. Bio Medical Engineering. 2025;24(1):73.
Verkruysse W, Svaasand LO, Nelson JS. Remote plethysmographic imaging using ambient light. Opt Express. 2008;16(26):21434-45.
Sun Y, Thakor NV. Photoplethysmography revisited: from contact to noncontact, from point to imaging. IEEE Trans Biomed Eng. 2016;63(3):463-77.
Rouast PV, Adam MTP, Chiong R, Cornforth D, Lux E. Remote heart rate measurement using low-cost RGB face video: a technical literature review. Front Comput Sci. 2018;12(5):858-72.
Khanam FTZ, Ahmad M, Shabut AMR, Alomainy A. Remote monitoring of vital signs in diverse non-clinical and clinical scenarios using computer vision systems: a review. Appl Sci. 2019;9(20):4474.
Shaik T, Tao X, Higgins N, Li L, Gururajan R, Zhou X, et al. Remote patient monitoring using artificial intelligence: current state, applications, and challenges. wiley interdisciplinary reviews. Data Mining and Knowledge Discovery. 2023;13(2):1485.
Bautista MJ, Kowal M, Cave DG, Downey C, Jayne DG. Clinical applications of contactless photoplethysmography for monitoring in adults: A systematic review and meta-analysis. J Clin Translat Sci. 2023;7(1):129.
Debnath U, Kim S. A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning. Bio Medical Engineering Online. 2025;24(1):73.
Braun B, McDuff D, Holz C. How suboptimal is training rppg models with videos and targets from different body sites. In2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop. 2024: 410-418.
Mironenko Y, Kalinin K, Kopeliovich M, Petrushan M. Remote photoplethysmography: rarely considered factors. 2020: 1197-206.
Ontiveros RC, Elgendi M, Missale G, Menon C. Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG. Front Physiol. 2023;14:1296277.
Haugg F, Elgendi M, Menon C. GRGB-rPPG: an efficient low-complexity remote photoplethysmography algorithm for heart rate estimation. Bioengineering (Basel). 2023;4:698.
Li C, Lubecke VM, Boric-Lubecke O, Lin J. A review on recent advances in Doppler radar sensors for noncontact healthcare monitoring. IEEE Trans Microw Theory Tech. 2013;61(5):2046-60.
Ahmad F, Narayanan RM, Schreurs D. Application of radar to remote patient monitoring and eldercare. IET Radar Sonar Navig. 2015;9(7):1-13.
Massaroni C, Nicolò A, Schena E, Sacchetti M. Contactless methods for measuring respiratory rate: a review. IEEE Sens J. 2021;21(11):12821-39.
Garbey M, Sun N, Merla A, Pavlidis I. Contact-free measurement of cardiac pulse based on the analysis of thermal imagery. IEEE Trans Biomed Eng. 2007;54(8):1418-26.
Fei J, Pavlidis I. Thermistor at a distance: unobtrusive measurement of breathing. IEEE Trans Biomed Eng. 2010;57(4):988-98.
Raheel MS, Tubbal FE, Raad R, Ogunbona P, Coyte J, Patterson C, et al. Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in Internet of Things and sleep applications. Sens Diagn. 2024;3:1085-117.
Ahmed S, Rahman M, Kim Y. Machine learning for healthcare radars: recent progress in human vital sign measurement and activity recognition. IEEE Access. 2024.
Wang Y, Wang Z, Zhang JA, Zhang H, Xu M. Vital sign monitoring in dynamic environments via mmWave radar and camera fusion. 2023;6:653.
Zhang B, Jiang B, Zheng R, Zhang X, Li J, Xu Q. Pi-ViMo: Physiology-inspired robust vital sign monitoring using mmWave radars. ACM Transactions Internet Things. 2023;4(2):1-27.
Ren W, Cao J, Yi H, Hou K, Hu M, Wang J. Noncontact multipoint vital sign monitoring with mmwave mimo radar. IEEE Transactions on Microwave Theory Techniques. 2024;73(7):4176-90.
Liang D, Chen Y, Gao J, Shi T, Yao J. Seamless integration and implementation of distributed contact and contactless vital sign monitoring. 2024.
Beltrao G, Schroeder U. Recent developments in contactless monitoring vital signs using radar devices. 2023.
Shaya Y. Development of remote radar-based vital sign acquisition for contactless patient monitoring. Front Med Technol. 2026;8:35.
Khanam FTZ, Ahmad M, Shabut AMR, Alomainy A. Remote monitoring of vital signs in diverse non-clinical and clinical scenarios using computer vision systems: a review. Appl Sci. 2019;9(20):4474.
Ontiveros RC, Elgendi M, Missale G, Menon C. Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based photoplethysmography. Front Physiol. 2023;5:509.
Haugg F, Elgendi M, Menon C. GRGB-rPPG: an efficient low-complexity remote photoplethysmography algorithm for heart rate estimation. Bioengineering (Basel). 2023;4:825.
Xiao H, Liu T, Sun Y, Li Y, Zhao S. Remote photoplethysmography for heart rate measurement: a review. Biomed Signal Process Control. 2024;5:67.
Chen W, Yi Z, Lim LJR, Lim RQR, Zhang A. Deep learning and remote photoplethysmography-powered advancements in contactless physiological measurement. Front Bioeng Biotechnol. 2024;6:6787.
McDuff D. Camera measurement of physiological vital signs. ACM Computing Surveys. 2023;55(9):1-40.
Saikevičius L, Raudonis V, Kozlovskaja-Gumbrienė A, Šakalytė G. Advancements in remote photoplethysmography. Electronics. 2025;6:754.
Brown A, Van de Vel A, De Sutter P. Remote photoplethysmography for health assessment: a comprehensive review. Front Digit Health. 2025;6:87.
Hassanpour A, Yang B. Contactless vital sign monitoring: a review towards multi-modal multi-task approaches. Sensors (Basel). 2025;25(15):4792.
Saikevičius L, Raudonis V, Dervinis G, Baranauskas V. Non-contact vision-based techniques of vital sign monitoring: systematic review. Sensors (Basel). 2024;24(12):3963.
Raheel MS, Tubbal FE, Raad R, Ogunbona P, Coyte J, Patterson C, et al. Contactless vital sign monitoring systems: a comprehensive survey of remote health sensing for heart rate and respiration in Internet of Things and sleep applications. Sens Diagn. 2024;3:1085-117.
McDuff D. Camera measurement of physiological vital signs. ACM Computing Surveys. 2023;55(9):1-40.
Shaik T, Tao X, Higgins N, Li L, Gururajan R, Zhou X, Acharya UR. Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2023;13(2):1485.
Amoran AE. Review of microphone-based contactless vital signs monitoring. Arch Acoust. 2025;7:54.
Fujiasih A. Remote vital signs monitoring based on Internet of Things system: literature review. J Nurs Care. 2023;5:239.
Hussain Z, Sheng QZ, Zhang WE, Ortiz J, Pouriyeh S. Non-invasive techniques for monitoring different aspects of sleep: A comprehensive review. ACM Transactions on Computing for Healthcare (HEALTH). 2022;3(2):1-26.
Abuella H, Ekin S. Non-contact vital signs monitoring through visible light sensing. IEEE Sensors J. 2019;20(7):3859-70.
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