Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals

<p dir="ltr">Maintaining constant vigilance over arterial blood pressure (ABP) is crucial for diagnosing hypertension and other critical cardiovascular diseases. While traditional cuff-based approaches are non-invasive, they have limitations in providing continuous blood pressure mon...

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Bibliographic Details
Main Author: Farhana Ahmed Chowdhury (22564808) (author)
Other Authors: Md Kamal Hosain (13485775) (author), Md Shafayet Hossain (21623759) (author), Muhammad E. H. Chowdhury (14150526) (author), Sakib Mahmud (15302404) (author), Muhammad Ashad Kabir (4582165) (author), Abdulrahman Alqahtani (6056309) (author), Anwarul Hasan (1332066) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Radar signals
Arterial blood pressure (ABP)
One-dimensional segmentation
MultiResLinkNet
Convolutional neural network (CNN)
Deep learning
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