Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5G wireless systems
Abstract
The design of an efficient mobile healthcare system using 3.5G and 4G wireless networks is a challenging problem especially for bandwidth demanding telemedical applications. In this paper, we focus on the concept of medical quality of service (m-QoS) applied to a typical bandwidth demanding m-health application. Based on this concept, we propose a novel multiobjective rate-control mechanism for the optimized delivery of diagnostically acceptable ultrasound video images over 3.5G wireless networks. The performance of the proposed algorithm has been evaluated via both simulations and experimental studies. The proposed optimal rate control algorithm achieved performance improvements that are compatible with the medical QoS requirements.
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The IEC-60870-5 standard for a personal server applied to telemedicine
Zubiete, E. D., Rodríguez, A. V. M., Gonzalez, I. G., Rivera-Romero, O., & Merino-Monge, M. (2010) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/health.2010.5556564
Novel Wireless Communication Protocol for e-Health Applications
Zvikhachevskaya, A., & Mihaylov, L. (2011) · InTech eBooks · doi:10.5772/14360
Smart Social Robotics for 4G-Health Applications
Istepanian, R. S. H., Good, A., & Philip, N. Y. (2013) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-319-00846-2_473
Self-citationAdvanced Video Distribution for Wireless E-Healthcare Systems
Zvikhachevskaya, A., & Mihaylova, L. S. (2012) · IGI Global eBooks · doi:10.4018/978-1-4666-2770-3.ch021
Li, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.08477
Advanced Video Distribution for Wireless E-Healthcare Systems
Zvikhachevskaya, A., & Mihaylova, L. S. (2013) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-61350-123-8.ch016
On the Use of Home Node Bs for Emergency Telemedicine Applications in Various Indoor Environments
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Gazik, M. A. R., & Roayaei, M. (2024) · Research Square · doi:10.21203/rs.3.rs-3933427/v1
Deep reinforcement learning in healthcare and biomedical application
Thakre, B. P., Yadav, U., & Bondre, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30146-9.00008-3 · Cited by 1 · see citing works
- Authors
- Istepanian, R., Philip, N., & Martini, M.
- Affiliations
- Kingston University London (GB)
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2009-05
- Volume
- 27
- Issue
- 4
- Pages
- 566-574
- ISSN
- 0733-8716 (ISSN-L)
- OpenAlex
- W2113815608
- Cited by
- 78
- References
- 45
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 1 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 1 · 2017: 4 · 2016: 4 · 2015: 7 · 2014: 7 · 2013: 11 · 2012: 9
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal on Selected Areas in Communications (publishedVersion)
- Research Repository (Kingston University London) (submittedVersion)
- Funders
- Royal Academy of Engineering
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Keywords
- rate control, reinforcement learning, mobile health, telemedicine, multi-objective optimization, bandwidth requirements
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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