When Smart Home Meets Pervasive HealthCare Services Using Mobile Devices and Sensor Networks– Status and Issues

2005 ◽  
Keyword(s):  
Sensor Networks ◽  
Mobile Devices ◽  
Smart Home ◽  
Healthcare Services ◽  
Pervasive Healthcare

scholarly journals Building Standardized and Secure Mobile Health Services Based on Social Media

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2208
Author(s):  
Jesús D. Trigo ◽  
Óscar J. Rubio ◽  
Miguel Martínez-Espronceda ◽  
Álvaro Alesanco ◽  
José García ◽  
...  
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Mobile Health ◽  
Healthcare Services ◽  
Small Scale ◽  
Proof Of Concept ◽  
Privacy And Security ◽  
Health Level 7 ◽  
Information Embedding ◽  
Android Applications

Mobile devices and social media have been used to create empowering healthcare services. However, privacy and security concerns remain. Furthermore, the integration of interoperability biomedical standards is a strategic feature. Thus, the objective of this paper is to build enhanced healthcare services by merging all these components. Methodologically, the current mobile health telemonitoring architectures and their limitations are described, leading to the identification of new potentialities for a novel architecture. As a result, a standardized, secure/private, social-media-based mobile health architecture has been proposed and discussed. Additionally, a technical proof-of-concept (two Android applications) has been developed by selecting a social media (Twitter), a security envelope (open Pretty Good Privacy (openPGP)), a standard (Health Level 7 (HL7)) and an information-embedding algorithm (modifying the transparency channel, with two versions). The tests performed included a small-scale and a boundary scenario. For the former, two sizes of images were tested; for the latter, the two versions of the embedding algorithm were tested. The results show that the system is fast enough (less than 1 s) for most mHealth telemonitoring services. The architecture provides users with friendly (images shared via social media), straightforward (fast and inexpensive), secure/private and interoperable mHealth services.

Information Architecture for Pervasive Healthcare Information Provision with Technological Implementation

2016 ◽  
pp. 319-346
Author(s):  
Chekfoung Tan ◽  
Shixiong Liu
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Electronic Patient Record ◽  
Information Provision ◽  
Healthcare Services ◽  
Information Architecture ◽  
Wireless Technology ◽  
Healthcare Information ◽  
Pervasive Healthcare ◽  
Information And Communication

The Pervasive Healthcare Information Provision (PHIP) is a concept that ensures patients are covered with healthcare services with the appropriate information provision together with the technical infrastructure when needed. Clinicians can obtain the real-time information by accessing the electronic patient record that supports decision-making in providing health services. PHIP aims to provide comprehensive healthcare services to its stakeholders covering the social and technical aspect. Information architecture is a high-level map of information requirements of an organisation that possesses business processes and information flows. Organisational semiotics, a fundamental theory for information and communication, helps in understanding the nature of information. It deals with information and information systems in a balanced way, taking account of both the physical space (when physical actions take place) and the information space (which are mainly characterised by information and communication using signs, symbols, and data). Information sharing among multi-stakeholders in decision-making is essential for pervasive healthcare. The information architecture can be reflected in information systems implementation such as Electronic Patient Record (EPR) and other forms. The aim of this chapter is to derive a conceptual model of information architecture for PHIP, including technological implementation via wireless technology. The information architecture serves as requirement engine that covers social and technical needs from both patients and clinicians. The contribution of this research is two fold: 1) establishing the theoretical perspective of information architecture, which serves as backbone to support PHIP, and 2) implementing PHIP via wireless technology and agent-based system.

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.

Overlay-Based Middleware for the Pervasive Grid

2012 ◽  
pp. 566-588
Author(s):  
Paul Grace ◽  
Danny Hughes ◽  
Geoff Coulson ◽  
Gordon S. Blair ◽  
Barry Porter ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Grid Computing ◽  
Mobile Devices ◽  
Environmental Conditions ◽  
Overlay Networks ◽  
Dynamic Adaptation ◽  
North West ◽  
The North ◽  
Flood Monitoring ◽  
Monitoring Application

Grid computing is becoming increasingly pervasive; sensor networks and mobile devices are now connected with traditional Grid infrastructure to form geographically diverse complex systems. Applications of this type can be classified as the Pervasive Grid. In this chapter we examine how traditional Grid technologies and middleware are inherently unsuited to address the challenges of extreme heterogeneity and fluctuating environmental conditions in these systems. We present Gridkit, a configurable and reconfigurable reflective middleware that leverages overlay networks and dynamic software in response to the requirements of the Pervasive Grid. We also illustrate how Gridkit has been used to deploy a flood monitoring application at a river in the north west of England; this demonstrates both the flexibility Gridkit provides, and how dynamic adaptation optimises performance and resource consumption.

A Review of Wireless Sensor Networks for Wellness Monitoring in Residential Aged Care

2011 ◽  
pp. 294-310
Author(s):  
Leroy Lai Yu Chan ◽  
Branko George Celler ◽  
James Zhaonan Zhang ◽  
Nigel Hamilton Lovell
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Healthcare Services ◽  
Aged Care ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Residential Aged Care ◽  
Enabling Technologies ◽  
Aged Care Facilities ◽  
Key Enabling Technologies

With the increasing shift in the population profile to the older demographic and rising healthcare costs, it is more critical for developed countries to deliver long-term and financially sustainable healthcare services, especially in the area of residential aged care. A consensus exists that innovations in the area of Wireless Sensor Networks (WSNs) are key enabling technologies for reaching this goal. The major focus of this article is WSN design considerations for ubiquitous wellness monitoring systems in residential aged care facilities. Major enabling technologies for building a pervasive WSN will be detailed, including descriptions on sensor design, wireless communication protocols and network topologies. Also examined are data processing methods and knowledge management tools to support the collection of sensor data and their subsequent analysis for health assessment. To introduce future healthcare reform in residential aged care, two aspects of wellness monitoring, vital signs and activities of daily living (ADL) monitoring, will be discussed.

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