Volume 6 • Issue 2 • PP: 33–41 • 2026
Contactless Human Sensing for Personalized Healthcare: A Review of Wireless Signal Applications in Biomedical Science
View PDF Abstract
Wireless signal applications in biomedical science have tremendously developed to improve people’s health care systems and contactless human sensing technologies. This review aims to focus on the current development of wireless microsystems, stressing the application of the wireless microsystem for precise physiological measurement without physical contact. Bio-signals transmitted through wireless telemetry systems help healthcare practitioners cover large numbers of patients continuously without repeated invasive interventions, improving the quality of care. RF systems and data acquisition techniques are critical for constructing wireless biomedical devices with low power consumption, especially in implantable applications. Moreover, depending on the advancements in microtechnology, sensors and actuators are compact and can be combined with communication electronics to produce complex healthchecking systems. The review also presents issues like signal distortion and data processing procedure requirements to obtain correct measurements in complicated surroundings. As technology advances in wireless communication systems, their usage in the health sectors advances, and the upcoming innovations should make healthcare better for the patients and efficient for the clinicians. In this vein, this paper posits wireless technologies as crucial to the advancement and contours of the future of personalized healthcare through monitoring and engagement.
Keywords
References
[1] H. Kumar, “Wireless sensor networks in healthcare system: A systematic review,” Wireless Personal Communications, vol. 134, no. 2, pp. 1013–1034, 2024.
[2] M. S. Raheel, F. Tubbal, R. Raad, P. Ogunbona, J. Coyte, C. Patterson, D. Perlman, S. Iranmanesh, N. Odeh, and J. Foroughi, “Contactless vital sign monitoring systems: A comprehensive survey of remote health sensing for heart rate and respiration in internet of things and sleep applications,” Sensors & Diagnostics, vol. 3, no. 7, pp. 1085–1118, 2024.
[3] Y. Ge, A. Taha, S. A. Shah, K. Dashtipour, S. Zhu, J. Cooper, Q. H. Abbasi, and M. A. Imran, “Contactless WiFi sensing and monitoring for future healthcare: Emerging trends, challenges, and opportunities,” IEEE Reviews in Biomedical Engineering, vol. 16, pp. 171– 191, 2023.
[4] Y. Chen and M.Wu, “Artificial intelligence-enabled contactless sensing for medical diagnosis,” Medical Review, vol. 3, no. 3, pp. 195–197, 2023.
[5] R. Prasanna, K. Annaram, and K. Venkatalakshmi, “Framework for touchless patient monitoring system integrating ultra-wideband radar and internet of things for COVID-19 patients,” International Journal for Multiscale Computational Engineering, vol. 20, no. 4, pp. 57–69, 2022.
[6] S. Karanam, R. Li, F. Yang, W. Hu, T. Chen, and Z. Wu, “Towards contactless patient positioning,” IEEE Transactions on Medical Imaging, vol. 39, no. 8, pp. 2701–2710, 2020.
[7] Y. Cho, A. Lee, J. Park, B. Ko, and N. Kim, “Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room,” Computer Methods and Programs in Biomedicine, vol. 161, pp. 39–44, 2018.
[8] M. Li and X. Zheng, “Development and evaluation on the framework design of a continuous mental stress monitor based on contactless sensors and internet technology applications,” Journal of Internet Technology, vol. 25, no. 1, pp. 51–59, 2024.
[9] E. Yuskina, N. Makarov, M. Khaydukova, T. Filatenkova, O. Shamova, V. Semenov, V. Panchuk, and D. Kirsanov, “A simple contactless high-frequency electromagnetic sensor: Proof of concept,” Analytical Chemistry, vol. 94, no. 35, pp. 11 978–11 982, 2022.
[10] S. Suzuki, T. Matsui, S. Gotoh, Y. Mori, B. Takase, and M. Ishihara, “Development of non-contact monitoring system of heart rate variability (HRV): An approach of remote sensing for ubiquitous technology,” in International Conference on Ergonomics and Health Aspects of Work with Computers, 2009, pp. 195–203.
[11] C.-C. Lo, T.-Y. Chien, J.-S. Pan, and B.-S. Lin, “Novel non-contact control system for medical healthcare of disabled patients,” IEEE Access, vol. 4, pp. 5687–5694, 2016.
[12] S. Kalasin, P. Sangnuang, and W. Surareungchai, “Intelligent wearable sensors interconnected with advanced wound dressing bandages for contactless chronic skin monitoring: Artificial intelligence for predicting tissue regeneration,” Analytical Chemistry, vol. 94, no. 18, pp. 6842–6852, 2022.
[13] B. Roy and R. Gupta, “MoDTRAP: Improved heart rate tracking and preprocessing of motion-corrupted photoplethysmographic data for personalized healthcare,” Biomedical Signal Processing and Control, vol. 56, p. 101676, 2020.
[14] K. Han, M. Jung, and J. Cho, “Implementation of the personal healthcare services on automotive environments,” Personal and Ubiquitous Computing, vol. 18, no. 3, pp. 523–533, 2014.
[15] Y. Yang, J. Wang, J. Lou, H. Yao, and C. Zhao, “Fast response humidity sensor based on hyperbranched zwitterionic polymer for respiratory monitoring and noncontact human machine interface,” Chemical Engineering Journal, vol. 471, p. 144582, 2023.
[16] S. Zou, L.-Q. Tao, G. Wang, C. Zhu, Z. Peng, H. Sun, Y. Li, Y. Wei, and T.-L. Ren, “Humidity-based human– machine interaction system for healthcare applications,” ACS Applied Materials & Interfaces, vol. 14, no. 10, pp. 12 606–12 616, 2022.
[17] Y. Yuminaka, T. Mori, K. Watanabe, M. Hasegawa, and K. Shirakura, “Non-contact vital sensing systems using a motion capture device: Medical and healthcare applications,” Key Engineering Materials, vol. 698, pp. 171–176, 2016.
[18] Y. Song, C. Shu, Z. Song, X. Zeng, X. Yuan, Y. Wang, J. Xu, Q. Feng, T. Song, B. Shao, Y. Wang, and B. Sun, “Self-powered health monitoring with ultrafast response and recovery enabled by nanostructured silicon moisture-electric generator,” Chemical Engineering Journal, vol. 468, p. 143797, 2023.
[19] Y. Han, H. Cao, Y. Cao, X. Wen, Y. Yao, and Z. Zhu, “Fast response flexible humidity sensors based on Ti3C2Tx MXene-heterostructures for multifunctional applications,” Journal of Materials Chemistry C, vol. 12, no. 13, pp. 4809–4816, 2024.
[20] X. Liu, C. Hou, Y. Liu, S. Chen, Z. Wu, X. Liang, and G. Tai, “Borophene and BC2N quantum dot heterostructures: Ultrasensitive humidity sensing and multifunctional applications,” Journal of Materials Chemistry A, vol. 11, no. 45, pp. 24 789–24 799, 2023.
[21] X. Wang, G. Wu, X. Zhang, F. Lv, Z. Yang, X. Nan, Z. Zhang, C. Xue, H. Cheng, and L. Gao, “Traditional chinese medicine (TCM)-inspired fully printed soft pressure sensor array with self-adaptive pressurization for highly reliable individualized long-term pulse diagnostics,” Advanced Materials, vol. 37, no. 1, p. 2410312, 2025.
[22] D. Zhang, Z. Xu, Z. Yang, and X. Song, “Highperformance flexible self-powered tin disulfide nanoflowers/reduced graphene oxide nanohybrid-based humidity sensor driven by triboelectric nanogenerator,” Nano Energy, vol. 67, p. 104251, 2020.
Cite This Article
Choose your preferred format