Resources Variability in m-Health Services: An Adaptive Method for QoS Control

Martínez, Ignacio Martínez; García, José Manuel Menéndez; Viruete, Eduardo

doi:10.1109/ccnc08.2007.193

Cited by 7 publications

(8 citation statements)

References 10 publications

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“…Delay and loss are intolerant in this case. The acceptable delay time for tele‐surgery is generally 330ms . Biomedical data : In hospitals, patient's biomedical information is compressed and coded and then transferred to the mobile intensive care unit for specialists to do an earlier diagnosis. Medical image : Medical image transmission is a part of tele‐consultation services. One of the concerns regarding bandwidth in medical imaging is the transmission time.…”

Section: Potential Challenges In Design and Implementationmentioning

confidence: 99%

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Telecommunication integration in e‐healthcare: technologies, applications and challenges

Majedi

Naeem

Anpalagan

2016

Trans. Emerging Tel. Tech.

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The technological advancements in sensing, signal processing, computing and communication have had great influence in different aspect of our lives. One of the fields that benefit from these technologies is health care. Trustworthiness of sensors, electronic devices, networks and wireless communications have matured enough to replace traditional legacy systems. However, there remains unexplored aspects of e‐healthcare especially considering the challenges in service provisioning, integration and resource optimization. Pervasive and continuous health monitoring is an important service, and it specifically provides the elderly and chronically ill patients with continuous and seamless health monitoring, benefiting both of them and the caretakers. In this survey article, we review and discuss different elements of e‐healthcare, introduce wireless transmission technologies that are used in e‐healthcare, present the quality of service (QoS) requirements and discuss the potential challenges as in security and privacy of data, power allocation, scheduling, meeting the QoS needs and confronting the electromagnetic interference. Some of the future research directions in healthcare areas are also discussed. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Potential Challenges In Design and Implementationmentioning

confidence: 99%

“…Tele‐consultation, in contrary to tele‐diagnosis, is generally defined as synchronous analysis and manipulation of medical data, which requires high QoS . It involves an environment where remote parties (medical experts) can view the same set of medical data at the same time and exchange comments in real time .…”

Section: E‐healthcare Servicesmentioning

confidence: 99%

Telecommunication integration in e‐healthcare: technologies, applications and challenges

Majedi

Naeem

Anpalagan

2016

Trans. Emerging Tel. Tech.

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“…While a significant amount of research has addressed the QoS requirements of heterogeneous e-Health services (Chu & Ganz, 2007;Martinez, Garcia, & Viruete, 2008;Skorin-Kapov & Matijasevic, 2010;Vouyioukas, Maglogiannis, & Komnakos, 2007) (e.g., studying delay, loss, error, and throughput requirements), only limited research has gone on to study QoE models and evaluation methods for various e-Health services. Ullah et al (2012) stress QoE as being a key component determining the user acceptance of e-Health services, and argue the need for identifying acceptable QoS thresholds and their relation with user QoE levels.…”

Section: Introductionmentioning

confidence: 99%

Towards Evaluating the Quality of Experience of Remote Patient Monitoring Services

Skorin‐Kapov

Dobrijević

Piplica

2014

International Journal of Mobile Human Computer Interaction

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The applicability of advanced mobile technologies in the m-Health domain has led to a number of studies and (limited) commercial products supporting delivery of health services to remote users. A key issue regarding successful delivery and acceptance of such services is meeting their Quality of Service (QoS) and Quality of Experience (QoE) requirements, focusing on technical aspects and end user perceived quality, respectively. In this paper, the authors address the topic of evaluating QoE for non-emergency remote patient monitoring services. They identify relevant QoE influence factors and metrics, and present the results of a QoE evaluation study, whereby they focus on usability aspects. The study involves 26 users testing a prototype version of the Ericsson Mobile Health service, which is based on a smartphone application and measurement of vital signs via medical sensors. The results show a strong correlation between QoE and: perceived effectiveness of the mobile interface (regarding both adequacy of smartphone screen size and smartphone application navigational support), perceived ease of conducting a blood pressure measurement task, and user motivation for service usage.

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“…A related term is m-Health, referring to “mobile computing, medical sensor, and communications technologies for health care” [ 2 ]. M-Health services refer to e-Health services in mobile environments, characterized by limited resource availability and changing network conditions [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Prioritization and resource allocation schemes for various types of telemedicine traffic delivered over wireless networks has been addressed in [ 5 , 6 ]. Further studies have more specifically focused on evaluating support for the delivery of emergency telemedicine services over high speed 3G networks [ 3 , 7 – 10 ] and other wireless networks [ 11 , 12 ], with evaluation results showing generally reliable performance. Apart from emergency scenarios, 3G networks have been evaluated in the support of various tele-consultation services involving the delivery of high-definition images [ 13 ], such as the delivery of ultrasound still and streaming images in robotic tele-ultrasonography systems [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of QoS Requirements for e-Health Services and Mapping to Evolved Packet System QoS Classes

Skorin‐Kapov

Matijašević

2010

International Journal of Telemedicine and Applications

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E-Health services comprise a broad range of healthcare services delivered by using information and communication technology. In order to support existing as well as emerging e-Health services over converged next generation network (NGN) architectures, there is a need for network QoS control mechanisms that meet the often stringent requirements of such services. In this paper, we evaluate the QoS support for e-Health services in the context of the Evolved Packet System (EPS), specified by the Third Generation Partnership Project (3GPP) as a multi-access all-IP NGN. We classify heterogeneous e-Health services based on context and network QoS requirements and propose a mapping to existing 3GPP QoS Class Identifiers (QCIs) that serve as a basis for the class-based QoS concept of the EPS. The proposed mapping aims to provide network operators with guidelines for meeting heterogeneous e-Health service requirements. As an example, we present the QoS requirements for a prototype e-Health service supporting tele-consultation between a patient and a doctor and illustrate the use of the proposed mapping to QCIs in standardized QoS control procedures.

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Resources Variability in m-Health Services: An Adaptive Method for QoS Control

Cited by 7 publications

References 10 publications

Telecommunication integration in e‐healthcare: technologies, applications and challenges

Telecommunication integration in e‐healthcare: technologies, applications and challenges

Towards Evaluating the Quality of Experience of Remote Patient Monitoring Services

Analysis of QoS Requirements for e-Health Services and Mapping to Evolved Packet System QoS Classes

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