RF-based Respiration Disorders Sensing and Classification Using Machine Algorithms

Ishabakaki, P., Hameed, H., Farooq, M. , Saeed, U., Shah, S. A. , Imran, M. A. and Abbasi, Q. H. (2024) RF-based Respiration Disorders Sensing and Classification Using Machine Algorithms. In: 2024 IEEE International Symposium on Antennas and Propagation and ITNC-USNC-URSI Radio Science Meeting, Florence, Italy, 14-19 July 2024, (Accepted for Publication)

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Abstract

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Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hameed, Mrs Hira and Abbasi, Professor Qammer and Farooq, Muhammad and Imran, Professor Muhammad and Ishabakaki, Prisila Alex and Shah, Mr Syed
Authors: Ishabakaki, P., Hameed, H., Farooq, M., Saeed, U., Shah, S. A., Imran, M. A., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy

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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