Skip to main content
Mobile healthcare (M-health) is an evolving paradigm that brings together the evolution of emerging wireless communications and network technologies with the concept of "connected healthcare". There are two major technical challenges that have not been adequately investigated in the field of m-health. First, the challenge of achieving robust and beyond clinically acceptable diagnosis for high bandwidth demanding m-health applications, such as medical ultrasound video streaming. Second, the varied Quality of Service (QoS) and Quality of Experience (QoE) requirements that are needed in order to ensure uninterrupted diagnosis for m-health users (e.g. patients, specialists and healthcare providers). This research study presents the medical QoS and medical QoE evaluation frameworks of medical ultrasound video streaming over 4G and beyond small cell networks. The soundness and robustness of this study is validated by the medical experts.
I have been an active member of Digital Media for Healthcare Research Group at Kingston University, London. In terms of research, I have been involved in the investigation of 4G and beyond wireless technologies, such as LTE/LTE-Advanced, Small Cells, Internet of Things (IoT) and Machine-to-Machine communication, to name a few. In addition, my expertise is in the exploitation of Artificial Intelligence/Machine Learning (e.g. Fuzzy Inference System, Neural Networks, Bayesian Networks, Decision Trees, Deep Learning and Q-learning) to predict m-QoS and m-QoE in future wireless networks. My current research interest is to expand my horizon and leverage the knowledge I have gained over the years into the future 5G technology. I have a good record of IEEE publications relevant to the field of mobile healthcare, where I had the privilege to present my research outcomes at several national and international seminars and conferences.
Rehman, Ikram Ur, Nasralla, Moustafa M., Ali, Ajaz and Philip, Nada (2018) Small cell-based ambulance scenario for medical video streaming : a 5G-health use case. In: 2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT); 08 - 10 Oct 2018, Islamabad, Pakistan.
Philip, Nada and Rehman, Ikram (2016) Towards 5G Health for Medical Video Streaming over Small Cells. In: XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MediCon) 2016; 31st Mar - 2nd Apr 2016, Paphos, Cyprus.
Rehman, Ikram U., Philip, Nada Y. and Nasralla, Moustafa M. (2016) A hybrid quality evaluation approach based on fuzzy inference system for medical video streaming over small cell technology. In: 18th International Conference on e-Health, Networking, Application and Services (HealthCom); 14-17 Sep 2016, Munich, Germany.
Rehman, Ikram and Philip, Nada (2015) m-QoS and m-QoE for medical video streaming over 4G and beyond small cells. In: European Conference on Networks and Communications (EUCNC); 29 Jun - 02 Jul 2015, Paris, France. (Unpublished)
Rehman, Ikram U. and Philip, Nada Y. (2015) M-QoE driven context, content and network aware medical video streaming based on fuzzy logic system over 4G and beyond small cells. In: EUROCON 2015 - International Conference on Computer as a Tool; 08-11 Sep 2015, Salamanca, Spain.
Rehman, Ikram U., Philip, Nada and Istepanian, Robert S.H. (2014) Performance analysis of medical video streaming over 4G and beyond small cells for indoor and moving vehicle (ambulance) scenarios. In: 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" (MobiHealth); 03 - 05 Nov 2014, Athens, Greece.