143 results found
Istepanian RSH, Casiglia D, Gregory JW, 2017, Mobile health (m-Health) for Diabetes management, British Journal of Health Care Management, Vol: 23, Pages: 102-108, ISSN: 1358-0574
© MA Healthcare Ltd. Diabetes is a major health challenge with a global impact regardless of age, country or economic condition. The increased prevalence of diabetes is reaching alarming levels. The necessity and urgency to find innovative care delivery solutions is becoming more important, particularly in the digital age. It is expected in the near future that more people with diabetes, especially the younger generations will be empowered by their smartphones and relevant mobile health (m-Health) innovations, to take more responsibility of their condition. Clinicians and healthcare providers are increasingly likely to assume the role of 'navigators' and 'advisors' rather than simply the medical gatekeeper for their patients. In this article, we describe the general architecture of current m-Health systems and applications for diabetes management. We also discuss the clinical evidence for impact from these important and innovative approaches to diabetes self-care and management and likely future trends in their usage. The latest statistics indicate that there are more than 1200 diabetes smartphone 'apps' and this area is growing exponentially in terms of ideas, technologies, devices and the associated industry. M-Health for diabetes care is now a major business stream for the medical device, mobile phone and IT telecommunication industries with high expectations arising from the potential benefits to be gained by both patients and healthcare providers. However, this potential has not yet been fully developed on the clinical side. This may be due to many factors including the reluctance of clinicians to engage with these technologies due to the lack of clinical evidence for their efficacy, poor adherence of people with diabetes to longterm use of these apps and the reluctance of healthcare funders to reimburse mobile diabetes.
Haddad NS, Istepanian R, Philip N, et al., 2014, A Feasibility Study of Mobile Phone Text Messaging to Support Education and Management of Type 2 Diabetes in Iraq, DIABETES TECHNOLOGY & THERAPEUTICS, Vol: 16, Pages: 454-459, ISSN: 1520-9156
Istepanian RSH, Mousa A, Haddad N, et al., 2014, The Potential of M-Health Systems for Diabetes Management in Post Conflict Regions A Case Study from Iraq, 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 3650-3653, ISSN: 1557-170X
Istepanian RSH, 2014, M-health: A decade of evolution and impact on services and global health, British Journal of Health Care Management, Vol: 20, Pages: 334-337, ISSN: 1358-0574
© 2014 MA Healthcare Ltd. Mobile health (m-health) was first introduced in 2003, and has now become one of the major pillars of modern ICT for healthcare. This article examines the growing importance of m-health over the past decade, and the ongoing contribution of this concept globally to key areas healthcare, such as disease management, wellbeing and diagnostics.
Alotaibi MM, Istepanian RSH, Sungoor A, et al., 2014, An Intelligent Mobile Diabetes Management and Educational System for Saudi Arabia: System Architecture, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Publisher: IEEE, Pages: 29-32
Istepanian RSH, Good A, Philip N, 2014, Smart social robotics for 4G-health applications, IFMBE Proceedings, Vol: 41, Pages: 1919-1922, ISSN: 1680-0737
The concept of 4G health was recently introduced and defined as 'The evolution of m-health towards targeted personalized medical systems with adaptable functionalities and compatibility with the future 4G networks'. One of the primary applications of 4G health is in the social robotics domain. A key challenge in this domain will be the full understanding of the interaction between humans and social robots. In particular in understanding the issues of QoS and QoE in such environments, which contribute to the quality of interaction. In this paper we highlight some of the key challenges and opportunities of human robotics interaction using 4Ghealthtechnologies and their relevant QoS and QoE issues. © Springer International Publishing Switzerland 2014.
Alinejad A, Istepanian RSH, Philip N, 2014, Medical quality of service analysis of ultrasound video streaming over LTE networks, IFMBE Proceedings, Vol: 41, Pages: 1915-1918, ISSN: 1680-0737
It is well known that 4G systems aim to provide such high speed, high capacity, and IP based personalized services for nomadic and mobile wireless environment. From the mobile health perspective, there are some restrictions to existing broadband wireless technologies and their strategies for different care services that can utilize the mobile broadband capabilities of 4G networks. In particular, the medical Quality of Service (m-QoS) issues and their guarantee to provide robust m-healthcare services with clinically acceptable quality. In this paper, we address the relevant medical quality of service requirements for real-time ultrasound video streaming in LTE networks and the corresponding parameters that are specified from the doctors and clinical end perspective. The relevant performance analysis of medical video streaming model is validated using LTE OPNET® modeler. © Springer International Publishing Switzerland 2014.
Easton C, Philip N, Aleksandravicius A, et al., 2014, Validity of smartphone accelerometers for assessing energy expenditure during fast running, IFMBE Proceedings, Vol: 41, Pages: 1911-1914, ISSN: 1680-0737
Recent advances in smartphone technology have facilitated the generation of mobile applications to monitor exercise performance. The aim of the present study was to investigate the validity and reliability of the triaxial accelerometers in the HTC and Samsung platforms for assessing energy expenditure (EE) during walking and fast running. Eleven endurance-trained participants (nine males and two females, mean ± s.d.: Age 35 ± 10 years; Maximal aerobic capacity 58.5 ± 7.2 ml·min-1·kg-1) completed two identical discontinuous incremental exercise tests on a treadmill. The tests consisted of walking (4, 5, and 6 km·h-1) and running (8, 10, 12, 14, 16, 18, and 20 km·h-1, or until volitional exhaustion) for 3 min at each speed, followed by 3 min of recovery for all speeds faster than 10 km·hr-1. Acceleration was recorded in all three axes of motion using a novel application on each device and expressed as vector magnitude (VM). Respiratory variables used to assess EE were measured using indirect calorimetry. The reliability of EE and acceleration measured between tests 1 and 2 were assessed using intraclass correlation coefficients (ICC). The validity of the accelerometers to assess EE was determined using Pearson's correlation coefficient. Measurements of EE and VM recorded using both devices were highly reproducible between tests 1 and 2 (ICC: EE = 0.976; HTC VM = 0.984; Samsung VM = 0.971). All accelerometer outputs rose linearly with speed during walking and running up to and including 20 km·h-1. EE was significantly correlated with both HTC VM (R = 0.98, P < 0.001) and Samsung VM (R = 0.99, P < 0.001). Data from the present study suggests that the inbuilt triaxial accelerometers in HTC and Samsung smartphone devices offer a valid and reliable method for determining the change in EE during fast running. © Springer International Publishing Switzerland 2014.
Istepanian RSH, Woodward B, Mulvaney DJ, et al., 2014, The potential of machine-to-machine communications for developing the next generation of mobile device monitoring systems, IFMBE Proceedings, Vol: 41, Pages: 1903-1906, ISSN: 1680-0737
This paper describes an m-health system developed for monitoring patients with heart disease and diabetes in India. It has been developed to allow patients in remote rural regions to access health centers in large cities. Wireless medical sensor readings and personal data acquired by health workers are combined into a set of patient monitoring parameters. Mobile device applications running on a web browser are then used to upload the data over the communications network infrastructure to a central server located at a main hospital for storage and clinical diagnosis. The system has great potential for M2M (machine-to-machine) communications. © Springer International Publishing Switzerland 2014.
Alanzi TM, Istepanian RSH, Philip N, 2014, An Integrated Model for Cognitive Behavioural Therapy for Mobile Diabetes Self-Management System, 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 5393-5396, ISSN: 1557-170X
Alanzi TM, Istepanian RSH, Philip N, 2014, Usability Study of Mobile Social Networking System among Saudi Type 2 Diabetes Patients (SANAD), 2nd Middle East Conference on Biomedical Engineering (MECBME), Publisher: IEEE, Pages: 297-300, ISSN: 2165-4247
Alanzi TM, Istepanian RSH, Philip N, et al., 2013, A study on perception of managing diabetes mellitus through social networking in the Kingdom of Saudi Arabia, IFMBE Proceedings, Vol: 41, Pages: 1907-1910, ISSN: 1680-0737
The Kingdom of Saudi Arabia (KSA) has the seventh highest prevalence of diabetes in the world with estimates of 20% of the populations diagnosed with diabetes. Furthermore, there is a lack of good educational and management programs of diabetes in the kingdom. In parallel to this major health problem, there is an increasing trend of smart mobile phone usage and access to social networking in the Kingdom, especially in the younger population. In this paper, we conducted a preliminary study on the perception of managing diabetes mellitus through mobile technologies and social networking in the kingdom of Saudi Arabia. A mixedmethod design with interviews and a survey were used to gather data. Most of the participants were younger users aged between (10-30 years). The key outcomes of this study indicate the high percentage acceptance of using smart phone technologies and social networking within the participation. © Springer International Publishing Switzerland 2014.
Chen Y, Darwazeh I, Philip N, et al., 2013, End-to-end Delay Distributions in Wireless Tele-ultrasonography Medical Systems, IEEE Global Communications Conference (GLOBECOM), Publisher: IEEE, Pages: 2592-2597, ISSN: 2334-0983
Alinejad A, Istepanian RSH, Philip N, 2012, Dynamic subframe allocation for mobile broadband m-health using IEEE 802.16j mobile multihop relay networks, Pages: 284-287, ISSN: 1557-170X
The concept of 4G health will be one of the key focus areas of future m-health research and enterprise activities in the coming years. WiMAX technology is one of the constituent 4G wireless technologies that provides broadband wireless access (BWA). Despite the fact that WiMAX is able to provide a high data rate in a relatively large coverage; this technology has specific limitations such as: coverage, signal attenuation problems due to shadowing or path loss, and limited available spectrum. The IEEE 802.16j mobile multihop relay (MMR) technology is a pragmatic solution designed to overcome these limitations. The aim of IEEE 802.16j MMR is to expand the IEEE 802.16e's capabilities with multihop features. In particular, the uplink (UL) and downlink (DL) subframe allocation in WiMAX network is usually fixed. However, dynamic frame allocation is a useful mechanism to optimize uplink and downlink subframe size dynamically based on the traffic conditions through real-time traffic monitoring. This particular mechanism is important for future WiMAX based m-health applications as it allows the tradeoff in both UL and DL channels. In this paper, we address the dynamic frame allocation issue in IEEE 802.16j MMR network for m-health applications. A comparative performance analysis of the proposed approach is validated using the OPNET Modeler®. The simulation results have shown an improved performance of resource allocation and end-to-end delay performance for typical medical video streaming application. © 2012 IEEE.
Mulvaney D, Woodward B, Datta S, et al., 2012, Development of m-health monitoring systems in India and Iraq, Pages: 288-291, ISSN: 1557-170X
Two separate projects have been carried out to implement m-health programs in India and Iraq, and, for each, this paper describes the work performed by the teams involved, presents results and details a number of lessons learned. In general, it is found that although India and Iraq have very different medical priorities, they pose similar issues when introducing m-health strategies. © 2012 IEEE.
Istepanian RSH, Alinejad A, Philip NY, 2012, Medical quality of service (m-QoS) and quality of experience (m-QoE) for 4G-health systems, Multimedia Networking and Coding, Pages: 259-376, ISBN: 9781466626607
It is well known that the evolution of 4G-based mobile multimedia network systems will contribute significantly to future m-health applications that require high bandwidth, high data rates, and more critically better Quality of service and quality of experience. The key to the successful implementation of these emerging applications is the compatibility of emerging broadband wireless networks such as mobile WiMAX, HSUPA, and LTE networks with future m-health systems. Most recently, the concept of 4G-health is introduced. This is defined as the evolution of m-health towards targeted personalized medical systems with adaptable functionalities and compatibility with future 4G communications and network technologies. This new concept represents the evolution of m-health toward 4G mobility. It will have new challenges especially from the next generation of mobile communications and networks perspective and in particular from relevant quality of service and quality of experience issues. This chapter presents some of these challenges and illustrates the importance of the new concepts of medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE) for 4G-health systems. The chapter also presents a validation scenario of these concepts for medical video streaming application as a typical 4G-health scenario. © 2013, IGI Global.
Debono CJ, Micallef BW, Philip NY, et al., 2012, Cross-Layer Design for Optimized Region of Interest of Ultrasound Video Data Over Mobile WiMAX, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, Vol: 16, Pages: 1007-1014, ISSN: 1089-7771
Alinejad A, Istepanian RSH, Philip N, 2012, Dynamic Subframe Allocation for Mobile Broadband m-health using IEEE 802.16j Mobile Multihop Relay Networks, 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 284-287, ISSN: 1557-170X
Mulvaney D, Woodward B, Datta S, et al., 2012, Development of m-health monitoring systems in India and Iraq, 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 288-291, ISSN: 1557-170X
Alinejad A, Philip NY, Istepanian RSH, 2012, Cross-Layer Ultrasound Video Streaming Over Mobile WiMAX and HSUPA Networks, IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, Vol: 16, Pages: 31-39, ISSN: 1089-7771
Mulvaney D, Woodward B, Datta S, et al., 2012, Monitoring heart disease and diabetes with mobile internet communications., Int J Telemed Appl, Vol: 2012
A telemedicine system is described for monitoring vital signs and general health indicators of patients with cardiac and diabetic conditions. Telemetry from wireless sensors and readings from other instruments are combined into a comprehensive set of measured patient parameters. Using a combination of mobile device applications and web browser, the data can be stored, accessed, and displayed using mobile internet communications to the central server. As an extra layer of security in the data transmission, information embedded in the data is used in its verification. The paper highlights features that could be enhanced from previous systems by using alternative components or methods.
Istepanian RSH, Hu S, Philip NY, et al., 2011, The potential of Internet of m-health Things m-IoT for non-invasive glucose level sensing, Pages: 5264-5266, ISSN: 1557-170X
An amalgamated concept of Internet of m-health Things (m-IoT) has been introduced recently and defined as a new concept that matches the functionalities of m-health and IoT for a new and innovative future (4G health) applications. It is well know that diabetes is a major chronic disease problem worldwide with major economic and social impact. To-date there have not been any studies that address the potential of m-IoT for non-invasive glucose level sensing with advanced opto-physiological assessment technique and diabetes management. In this paper we address the potential benefits of using m-IoT in non-invasive glucose level sensing and the potential m-IoT based architecture for diabetes management. We expect to achieve intelligent identification and management in a heterogeneous connectivity environment from the mobile healthcare perspective. Furthermore this technology will enable new communication connectivity routes between mobile patients and care services through innovative IP based networking architectures. © 2011 IEEE.
Alinejad A, Philip N, Istepanian RSH, 2011, Mapping of multiple parameter m-health scenarios to mobile WiMAX QoS variables, Pages: 1532-1535, ISSN: 1557-170X
Multiparameter m-health scenarios with bandwidth demanding requirements will be one of key applications in future 4G mobile communication systems. These applications will potentially require specific spectrum allocations with higher quality of service requirements. Furthermore, one of the key 4G technologies targeting m-health will be medical applications based on WiMAX systems. Hence, it is timely to evaluate such multiple parametric m-health scenarios over mobile WiMAX networks. In this paper, we address the preliminary performance analysis of mobile WiMAX network for multiparametric telemedical scenarios. In particular, we map the medical QoS to typical WiMAX QoS parameters to optimise the performance of these parameters in typical m-health scenario. Preliminary performance analyses of the proposed multiparametric scenarios are evaluated to provide essential information for future medical QoS requirements and constraints in these telemedical network environments. © 2011 IEEE.
Istepanian RSH, Sungoor A, Nebel J-C, 2011, Comparative Analysis of Genomic Signal Processing for Microarray Data Clustering, IEEE TRANSACTIONS ON NANOBIOSCIENCE, Vol: 10, Pages: 225-238, ISSN: 1536-1241
Internet of Things (IoT) is a new and evolving concept that provides connectivity to the Internet via sensing devices to achieve intelligent identification and management in a heterogeneous connectivity environment. From the assisted living perspective, this emerging concept will enable new communication connectivity routes between elderly disabled patient and care services through innovative networking architectures in AAL environments. M-health is defined as "mobile computing, medical sensor, and communications technologies for health care" . This evolutionary concept provides both mobility and 'always connected' functionalities for different healthcare applications. In this paper we introduce a new amalgamated concept of Internet of m-health Things (m-IoT). m-IoT is a new concept that matches the functionalities of m-health and IoT for a new and innovative future (4G health) applications. In principle m-IoT introduce a new healthcare connectivity paradigm that interconnects IP-based communication technologies such as 6LoWPAN with emerging 4G networks for future Internet based healthcare services. In this paper we will present a general m-IoT architecture based on 6LoWPAN technology for measurement of body temperature as an example for healthcare application.
Istepanian RSH, 2011, The potential of Internet of Things (IOT) for assisted living applications
Mega Trends in Healthcare and IT - Evolution of m-health and '4G - Health' - IOT - New m-IOT Concept - Exemplars of m-IOT in assisted living - Future trends.
Istepanian RSH, Hu S, Philip NY, et al., 2011, The Potential of Internet of m-health Things "m-IoT" for Non-Invasive Glucose level Sensing, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 5264-5266, ISSN: 1557-170X
Alinejad A, Philip N, Istepanian RSH, 2011, Mapping of Multiple Parameter M-health Scenarios to Mobile WiMAX QoS Variables, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 1532-1535, ISSN: 1557-170X
Alinejad A, Philip N, Istepanian R, 2010, Reinforcement learning algorithm for optimised cross layer medical video streaming over WiMAX networks, Pages: 862-866
The design of effective broadband mobile healthcare systems using emerging WiMAX networks is an important issue, especially for remote medical diagnostic systems. In this paper, we introduce a new cross layer design approach for medical video streaming in WiMAX networks. The proposed approach is based on optimising medical Quality of Service (m-QoS) in the network environments. Preliminary performance analysis of the proposed algorithm has been evaluated via simulation studies. These results show that the proposed cross layer optimizer achieved performance improvements that are compatible with the medical QoS requirements and constraints. © 2010 IEEE.
Earle KA, Istepanian RSH, Zitouni K, et al., 2010, Mobile Telemonitoring for Achieving Tighter Targets of Blood Pressure Control in Patients with Complicated Diabetes: A Pilot Study, DIABETES TECHNOLOGY & THERAPEUTICS, Vol: 12, Pages: 575-579, ISSN: 1520-9156
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