Emerging wireless technologies in e-health trends, challenges, and framework design issues

Khaddar, Mehdia Ajana El; Harroud, Hamid; Boulmalf, Mohammed; Elkoutbi, Mohammed; Habbani, Ahmed

doi:10.1109/icmcs.2012.6320276

Cited by 54 publications

(42 citation statements)

References 7 publications

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“…In the last years, the significant advances in telecommunications and informatics have propitiated an incredible boost of mobile communications and wireless networks [1][2][3][4][5][6][7][8], as well as an extensive use and expansion of mobile phones, especially smartphones with new features that use these new networks such as 3G and 4G [9][10][11] and the combination of technologies such as transistor miniaturization, high quality graphs or comp a c t d e s i g n [ 1 2 - 1 5 ] . H e n c e , t h e In t e r n a t i o n a l Telecommunication Union estimated that currently, there are a nearly 7 billion mobile subscriptions (May 2014) [16] and a study by Gartner said that global mobile phone reached 1.8 billion units in 2013.…”

Section: Introductionmentioning

confidence: 99%

Privacy and Security in Mobile Health Apps: A Review and Recommendations

2014

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In a world where the industry of mobile applications is continuously expanding and new health care apps and devices are created every day, it is important to take special care of the collection and treatment of users' personal health information. However, the appropriate methods to do this are not usually taken into account by apps designers and insecure applications are released. This paper presents a study of security and privacy in mHealth, focusing on three parts: a study of the existing laws regulating these aspects in the European Union and the United States, a review of the academic literature related to this topic, and a proposal of some recommendations for designers in order to create mobile health applications that satisfy the current security and privacy legislation. This paper will complement other standards and certifications about security and privacy and will suppose a quick guide for apps designers, developers and researchers.

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Section: Introductionmentioning

confidence: 99%

Privacy and Security in Mobile Health Apps: A Review and Recommendations

2014

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“…In a wireless healthcare system, most of the researchers focus on electromagnetic interference (EMI) that emitted from wireless devices while transmitting data whereas EMI effects on medical devices in a hospital [4][5][6]. Wireless medical devices face EMI problems in a scenario where two devices operate in the same frequency at the same time in a same area [1] [4][5][6]. In such scenario, some wireless medical devices can be malfunctioned even though they do not operate within a very close proximity [1] [4].…”

Section: A Background and Limitation On Wireless Healthcarementioning

confidence: 99%

“…Healthcare system and healthcare facility has also facing problem with wireless devices [5]. In a wireless healthcare system, most of the researchers focus on electromagnetic interference (EMI) that emitted from wireless devices while transmitting data whereas EMI effects on medical devices in a hospital [4][5][6]. Wireless medical devices face EMI problems in a scenario where two devices operate in the same frequency at the same time in a same area [1] [4][5][6].…”

Section: A Background and Limitation On Wireless Healthcarementioning

confidence: 99%

“…This leads towards dynamic spectrum assess (DSA) or opportunistic frequency usage in future wireless medical field. Healthcare system and healthcare facility has also facing problem with wireless devices [5]. In a wireless healthcare system, most of the researchers focus on electromagnetic interference (EMI) that emitted from wireless devices while transmitting data whereas EMI effects on medical devices in a hospital [4][5][6].…”

Section: A Background and Limitation On Wireless Healthcarementioning

confidence: 99%

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A priority aware cognitive radio based hospital system architecture, priority management and communication protocols

Mamoon¹,

Islam²,

Baharun³

et al. 2014

2014 8th International Symposium on Medical Information and Communication Technology (ISMICT)

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Recently, wireless communication in medical data and patient information transmission has received tremendous attention to the researchers since effective, timely, accurate, complete and unambiguous communication reduces errors and results in improved patient safety. However, wireless communication technology in a healthcare environment poses some major challenges. For example, medical band scarcity for future wireless healthcare system, bandwidth restriction, spectrum utilization and electromagnetic interference (EMI) are major concerned. In addition, different types of e-health applications have different priorities. Therefore, communication protocols and network maintenance policies for wireless healthcare need to be priority mechanism agile. Compared to traditional wireless network, cognitive radio network (CRN) can be more flexible and solve these problems. In this paper, a novel CRN based hospital system architecture namely CogMed, is proposed for e-health applications where priority mechanism aware heterogeneous architecture, system design and communication policies are included. The article first analyzes the shortcomings of recent wireless healthcare facility by critically analyzing the contemporary literatures on CRN centric healthcare facility. It then proposes a fully opportunistic network based hospital system architecture where dynamic spectrum access (DSA) capable medical, non-medical and sensor devices are categorized based on a dynamic priority management mechanism. The paper also presents some communication protocols.

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“…One of the important requirements of e-Healthcare is that the patient's data must be available to the caretakers in realtime without the constraints of time and location. This is known as pervasive health monitoring [6,7]. Pervasive health monitoring makes use of small tiny sensors to get different biological measurements constantly and in realtime contrary to the traditional monitoring system which can monitor the patients for a specific time [8].…”

mentioning

confidence: 99%

Resource Allocation in Hospital Networks Based on Green Cognitive Radios

Liu

Iqbal

Naeem

et al. 2015

Wireless Pers Commun

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Pervasive wireless communication and computing can facilitate a variety of ehealth applications to communicate patient medical data and information to the doctors/caregivers in an e-Health environment. With the advancement of medical devices and practicing methods the concept of in-cooperating latest communication techniques have taken a new direction by enabling cognitive radio networks in e-Health applications. This paper presents an approach to solve the joint call admission control and power allocation problem in a hospital environment based on green cognitive radio. Specifically, a multiobjective non-convex mixed integer non-linear programming (MINLP) problem of wireless access in an indoor hospital environment is formulated to maximize the number of admitted secondary users and minimize transmit power and carbon dioxide emission. Along with that the throughput requirement of all secondary users and interference constraints for the protected and primary users are also satisfied. In this paper, we invoke outer approximation approach based linearization technique to solve MINLP problem. The proposed method gives guaranteed e convergence to the optimal solution results with reasonable computational complexity. Simulation results verify the effectiveness of the proposed approach method.

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Emerging wireless technologies in e-health trends, challenges, and framework design issues

Cited by 54 publications

References 7 publications

Privacy and Security in Mobile Health Apps: A Review and Recommendations

Privacy and Security in Mobile Health Apps: A Review and Recommendations

A priority aware cognitive radio based hospital system architecture, priority management and communication protocols

Resource Allocation in Hospital Networks Based on Green Cognitive Radios

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