Kazim, J. u. R. , Tahir, A., Rains, J., Cui, T. J., Jabbar, A. , Jamshed, M. A., Ur-Rehman, M. , Alomainy, A., Imran, M. A. and Abbasi, Q. H. (2023) In-home monitoring using wireless on the walls for future healthcare: real-world demonstration. Advanced Intelligent Systems, 5(9), 2300007. (doi: 10.1002/aisy.202300007)
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Abstract
Since the last decade radio frequency (RF) sensing has emerged as an alternative in-home monitoring and tracking technology because of its inherent device-free and privacy-preserved features over camera and wearable technologies. In this work, contrary to conventional radar-based sensing and WiFi-based setups which require line-of-sight (LoS) to process and collect the RF signals for monitoring, it is shown for the first time in literature the potential of using RF sensing for vitals, that is, heartbeat detection in the non-line-of-sight (NLoS) using an in-house-developed reconfigurable intelligent surface (RIS), that is, wireless on the walls. The developed RIS is the world's first prototype which consists of “4096 elements”. The unit cell elements are individually controlled via PIN diodes, 1-bit, operating at 3.75 GHz specified for the fifth-generation (5G) network. Near-field beam steering is demonstrated, with a switching speed of 15 ms. For the first time in the literature its is demonstrated that RIS can assist in the detection of microactivities including the human heartbeat in NLoS indoor complex environment, a limitation with the existing RF sensing technologies to date. In addition, it is experimentally verified that the RIS can potentially reduce the e-field magnitude at the user's by regulating the gain at the user terminal.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was supported in parts by Engineering and Physical Sciences Research Council (EPSRC) grants: EP/T021020/1 and EP/T021063/1 and SAPHIRE 2022 grant no:2814 and ICRG PAK-UK Education Gateway (2020) funded Project No. 310366. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jabbar, Abdul and Kazim, Mr Jalil and Abbasi, Professor Qammer and Tahir, Dr Ahsen and Imran, Professor Muhammad and Jamshed, Dr Muhammad Ali and Ur Rehman, Dr Masood and Rains, Mr James |
| Authors: | Kazim, J. u. R., Tahir, A., Rains, J., Cui, T. J., Jabbar, A., Jamshed, M. A., Ur-Rehman, M., Alomainy, A., Imran, M. A., and Abbasi, Q. H. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Advanced Intelligent Systems |
| Publisher: | Wiley |
| ISSN: | 2640-4567 |
| ISSN (Online): | 2640-4567 |
| Published Online: | 08 July 2023 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Advanced Intelligent Systems 5(9):2300007 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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