Unobtrusive Sensors for Synchronous Monitoring of Different Breathing Parameters in Care Environments

Autor: Imran Saied, Aaesha Alzaabi, Tughrul Arslan

Publikováno v: Sensors, Vol 24, Iss 7, p 2233 (2024)

Respiratory problems are common amongst older people. The rapid increase in the ageing population has led to a need for developing technologies that can monitor such conditions unobtrusively. This paper presents a novel study that investigates Wi-Fi

Externí odkaz: https://doaj.org/article/d6692468a1f6400ba45f1bc346dd166f

Experimental radar data for monitoring brain atrophy progression

Autor: Rahmat Ullah, Imran Saied, Tughrul Arslan

Publikováno v: Data in Brief, Vol 43, Iss , Pp 108379- (2022)

This data set contains complex frequency domain signals obtained from unidirectional antennas mainly fabricated for radar-based head imaging. Data were obtained as part of a project investigating radar-based microwave imaging for monitoring neurodege

Externí odkaz: https://doaj.org/article/0ef99b3b30454917af25f638f86fc468

Multistatic radar-based imaging in layered and dispersive media for biomedical applications

Autor: Rahmat Ullah, Imran Saied, Tughrul Arslan

Publikováno v: Ullah, R, Saied, I & Arslan, T 2023, ' Multistatic radar-based imaging in layered and dispersive media for biomedical applications ', Biomedical Signal Processing and Control, vol. 82, 104568 . https://doi.org/10.1016/j.bspc.2023.104568

This paper presents a novel algorithm for near-field radar imaging in layered and dispersive media with application to biomedical imaging. The proposed algorithm compensates for variations in the dielectric properties and integrates each component’

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c3648a6ce08798af403361c3e93a8f
https://hdl.handle.net/20.500.11820/e8f28d1d-0474-4c30-b908-9bd1d98bde07

Non-Invasive RF Technique for Detecting Different Stages of Alzheimer’s Disease and Imaging Beta-Amyloid Plaques and Tau Tangles in the Brain

Autor: Imran Saied, Suvankar Pal, Tughrul Arslan, Colin Smith, Siddharthan Chandran, Tara L. Spires-Jones

Publikováno v: Saied, I, Arslan, T, Chandran, S, Smith, C, Spires-jones, T & Pal, S 2020, ' Non-Invasive RF Technique for Detecting Different Stages of Alzheimer’s Disease and Imaging Beta-Amyloid Plaques and Tau Tangles in the Brain ', IEEE Transactions on Medical Imaging, vol. 39, no. 12, pp. 1-10 . https://doi.org/10.1109/TMI.2020.3011359

This paper describes a novel approach of detecting different stages of Alzheimer’s disease (AD) and imaging beta-amyloid plaques and tau tangles in the brain using RF sensors. Dielectric measurements were obtained from grey matter and white matter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96795e689e15d4481ee50ea7ad837689
https://doi.org/10.1109/tmi.2020.3011359

Big Data-Machine Learning Processing of Recorded Radiofrequency Physiological and Pathological Measurements to Predict the Progression of Alzheimer’s Disease

Autor: Rahmat Ullah, Imran Saied, Tughrul Arslan

Publikováno v: 2021 IEEE Asia-Pacific Microwave Conference (APMC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c4c7559eda5d2345023e163618b7c00
https://doi.org/10.1109/apmc52720.2021.9662036