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AuthorTariq, Hasan
AuthorAbualsaud, Khalid
AuthorYaacoub, Elias
AuthorAbualsaud, Rana
AuthorKhattab, Tamer
AuthorGehani, Abdurrazzak
Available date2024-03-26T11:56:47Z
Publication Date2023
Publication Name2023 International Wireless Communications and Mobile Computing, IWCMC 2023
ResourceScopus
URIhttp://dx.doi.org/10.1109/IWCMC58020.2023.10182820
URIhttp://hdl.handle.net/10576/53524
AbstractThe gigantic increase in population, social isolation, and mobility constraint lifestyle since the COVID-19 era has resulted in challenges like remote availability of critical bio-instrumentation like magnetocardiography (MCG) and electrocardiography (ECG). This availability can only be made possible through portable hand-held bio-instrumentation systems. Unmanned aerial vehicles (UAVs) can be used to deliver these systems to remote areas. In cardiological bioinstrumentation, MCG and ECG are two major innovations-based field effect techno-scientific approaches. The MCG systems face several major challenges that have hampered their applications and utility for cardio patients and their inspection labs. In this work, the main challenges were addressed by using a novel ML-based probabilistic interpolation algorithm over a dual ECG probing system-on-chip (SoC) with IoT capabilities to generate the identical MCG signal from two ECG signals with a segmented translation of PR, QRS, ST, and QT characteristic patches at real-time. The implementation findings provided a rich resource for approximating wave-shaping filters, frequencies, mean, and variance whilst addressing redundancy.
SponsorACKNOWLEDGMENT This publication was made possible by NPRP grant # 13-0205-200270 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectECG
instrumentation
IoT
MCG
signal processing
UAV
TitleReal-time Imitation of Autonomous MCG Node using Dual ECG Probing IoT Node Suitable for Delivery by UAV
TypeConference Paper
Pagination1568-1573
dc.accessType Abstract Only


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