An HRV Patterns Discovering Neural Network for Mobile Healthcare Services

2008 ◽  
Author(s):  
Thi Hong Nhan Vu ◽  
Jun Wook Lee ◽  
Yongmi Lee ◽  
Hiseok Kim ◽  
Keun Ho Ryu
Keyword(s):  
Neural Network ◽  
Healthcare Services ◽  
Mobile Healthcare

A Secure Robust and Privacy Enhanced Mobile Healthcare Framework

2018 ◽  
Vol 15 (3) ◽  
pp. 61-81
Author(s):  
Hisham M. Alsaghier ◽  
Shaik Shakeel Ahamad
Keyword(s):  
Health Systems ◽  
Mobile Health ◽  
Integrated Circuit ◽  
Cost Effective ◽  
Healthcare Services ◽  
Healthcare Industry ◽  
Continuous Transition ◽  
Trusted Platform Module ◽  
Mobile Healthcare ◽  
Mobile Health Systems

This article describes how the exponential growth of mobile applications has changed the way healthcare services function, and mobile healthcare using the Cloud is the most promising technology for healthcare industry. The mobile healthcare industry is in a continuous transition phase that requires continual innovation. There has been identified some of the challenges in the area of security protocols for mobile health systems which still need to be addressed in the future to enable cost-effective, secure and robust mobile health systems. This article addresses these challenges by proposing a secure robust and privacy-enhanced mobile healthcare framework (SRPF) by adopting a Community Cloud (CC), WPKI cryptosystems, Universal Integrated Circuit Cards (UICCs) and a Trusted Platform Module (TPM). All the security properties are provided within this framework. SRPF overcomes replay attacks, Man in the Middle (MITM) Attacks, Impersonation attacks and Multi-Protocol attacks as SRPF was successfully verified using a scyther tool and by BAN logic.

Mobile Healthcare Computing in the Cloud

2014 ◽  
pp. 275-294 ◽  
Author(s):  
Tae-Gyu Lee
Keyword(s):  
Information Management ◽  
Wearable Computing ◽  
Computing System ◽  
Healthcare Services ◽  
Data Generation ◽  
Computing Environment ◽  
Computing Systems ◽  
Mobile Healthcare ◽  
Data Capacity ◽  
Generation Cycle

Previous medical services for humans provided healthcare information using the static-based computing of space-constrained hospitals or healthcare centers. In contrast, current mobile health information management computing and services are being provided so that they utilize both the mobility of mobile computing and the scalability of cloud computing to monitor in real-time the health status of patients who are moving. In addition, data capacity has sharply increased with the expansion of the principal data generation cycle from the traditional static computing environment to the dynamic computing environment. This chapter presents mobile cloud healthcare computing systems that simultaneously leverage the portability and scalability of healthcare services. This chapter also presents the wearable computing system as an application of mobile healthcare.

The mHealth Stack

2012 ◽  
pp. 1-17
Author(s):  
Benjamin Falchuk ◽  
David Famolari ◽  
Russell Fischer ◽  
Shoshana Loeb ◽  
Euthimios Panagos
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Healthcare Services ◽  
Cloud Services ◽  
Healthcare Applications ◽  
Patient Centered ◽  
Mobile Healthcare ◽  
Care Givers ◽  
Current Usage

Applications accessible through mobile devices, such as mobile phones, are playing an increasingly important part in the delivery of high quality and personalized healthcare services. In this paper, we examine current usage of mobile devices and networks by mobile healthcare applications, and present our views on how mobile devices and networks could be used for creating patient-centered healthcare applications. The patient-centered healthcare paradigm allows for increased quality of care and quality of life for patients while increasing personal freedom to move about and be always connected to care-givers and healthcare services. The structure of our discussion is analogous to layered protocol stack in communications, progressing from the network and radio technologies, servicing middleware, cloud services, health sensors, mobile smartphones, and applications. All these layers come into play to support future mobile healthcare services.

Development, Integration, and Deployment of Mobile Information Services in Healthcare

2012 ◽  
pp. 242-261
Author(s):  
Jelena Mirkovic ◽  
Haakon Bryhni
Keyword(s):  
Healthcare Delivery ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Research Field ◽  
Security And Privacy ◽  
Healthcare Sector ◽  
Mobile Healthcare ◽  
Mobile Access ◽  
User Friendly ◽  
Mobile Information Services

The use of mobile and wireless technologies has great potential to improve the efficiency and quality of healthcare delivery. The main goal of this chapter is to describe the current state of the art in the research field of development and integration of mobile services in the healthcare sector by addressing the two main challenges: usability and security. The authors investigate the main requirements and approaches for developing highly usable, user-friendly, and well-accepted mobile healthcare services. In addition, they identify various ways of addressing security and privacy issues in mobile healthcare services and discuss the advantages and shortcomings of each approach. Finally, the chapter presents the CONNECT (Care Online: Novel Networks to Enhance Communication and Treatment) project and describes how security and usability issues can be addressed during the development of mobile access to a multi-modal Internet-based patient support system.

scholarly journals Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Alaba Olu Akingbesote ◽  
Mathew Olusegun Adigun ◽  
Sibisuso Xulu ◽  
Edgar Jembere
Keyword(s):  
South Africa ◽  
Waiting Time ◽  
Queuing Theory ◽  
Performance Modeling ◽  
Healthcare Services ◽  
Pricing Strategy ◽  
Preemptive Priority ◽  
Mobile Healthcare ◽  
Utility Services ◽  
Priority Model

GUISET is a proposed middleware engine currently under study in South Africa. The goal is to provide utility services for small, medium, and macroenterprises in the context of mobile e-services. Three things are important to make this engine effective and efficient: the implementation, performance, and the pricing strategy. The literature has delved richly into implementation issue of similar projects. Both the performance and the pricing strategy issues have not been fully discussed especially in the context of mobile healthcare services. Some literature has addressed the performance issue using the exogenous nonpriority and the preemptive model. However, with providers offering different services using that approach may prove to be difficult to implement. This work extends existing and widely adopted theories to non-preemptive model by using the queuing theory and the simulation model in the context of mobile healthcare services. Our evaluation is based on non-preemptive priority and nonpriority discipline. Our results reveal that the unconditional average waiting time remains the same with reduction in waiting time over the non-preemptive priority model in four out of the five classes observed. This is envisaged to be beneficial in mobile healthcare services where events are prioritized and urgent attention is needed to be given to urgent events.

Design of context-aware middleware for mobile healthcare services

2012 ◽  
Vol 35 (5) ◽  
pp. 535-545 ◽  
Author(s):  
Jae-gu Song ◽  
Sungmo Jung ◽  
Byeong Ho Kang ◽  
Dae-Joon Hwang ◽  
Seoksoo Kim
Keyword(s):  
Healthcare Services ◽  
Context Aware ◽  
Mobile Healthcare
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