In-home monitoring using wireless on the walls for future healthcare: real-world demonstration

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, (doi: 10.1002/aisy.202300007) (Early Online Publication)

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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
Status:Early Online Publication
Glasgow Author(s) Enlighten ID:Jabbar, Abdul and Kazim, Mr Jalil and Abbasi, Dr 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
ISSN (Online):2640-4567
Published Online:08 July 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Advanced Intelligent Systems 2023
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
307829Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community HealthcareJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1ENG - Biomedical Engineering
307826COG-MHEAR: Towards cognitiveky-inspired 5G-IoT enabled, multi-modal Hearing AidsQammer H AbbasiEngineering and Physical Sciences Research Council (EPSRC)EP/T021063/1ENG - Systems Power & Energy