Literature DB >> 23193318

A pervasive health system integrating patient monitoring, status logging and social sharing.

A K Triantafyllidis, V G Koutkias, I Chouvarda, N Maglaveras.   

Abstract

In this paper, we present the design and development of a pervasive health system enabling self-management of chronic patients during their everyday activities. The proposed system integrates patient health monitoring, status logging for capturing various problems or symptoms met, and social sharing of the recorded information within the patients community, aiming to facilitate disease management. A prototype is implemented on a mobile device illustrating the feasibility and applicability of the presented work by adopting unobtrusive vital signs monitoring through a wearable multi-sensing device, a service oriented architecture for handling communication issues, and popular micro-blogging services. Furthermore, a study has been conducted with 16 hypertensive patients, in order to investigate the user acceptance, the usefulness, and the virtue of the proposed system. The results show that the system is welcome by the chronic patients who are especially willing to share healthcare information, and easy to learn and use, while its features have been overall regarded by the patients as helpful for their disease management and treatment.

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Year:  2012        PMID: 23193318     DOI: 10.1109/TITB.2012.2227269

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  Framework of sensor-based monitoring for pervasive patient care.

Authors:  Andreas K Triantafyllidis; Vassilis G Koutkias; Ioanna Chouvarda; Ilia Adami; Angelina Kouroubali; Nicos Maglaveras
Journal:  Healthc Technol Lett       Date:  2016-08-12

2.  Co-production in practice: how people with assisted living needs can help design and evolve technologies and services.

Authors:  Joseph Wherton; Paul Sugarhood; Rob Procter; Sue Hinder; Trisha Greenhalgh
Journal:  Implement Sci       Date:  2015-05-26       Impact factor: 7.327

Review 3.  Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review.

Authors:  Andreas Triantafyllidis; Haridimos Kondylakis; Dimitrios Katehakis; Angelina Kouroubali; Lefteris Koumakis; Kostas Marias; Anastasios Alexiadis; Konstantinos Votis; Dimitrios Tzovaras
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-04       Impact factor: 4.947

4.  Combining wireless sensor networks and semantic middleware for an Internet of Things-based sportsman/woman monitoring application.

Authors:  Jesús Rodríguez-Molina; José-Fernán Martínez; Pedro Castillejo; Lourdes López
Journal:  Sensors (Basel)       Date:  2013-01-31       Impact factor: 3.576

5.  A Systematic Review on Recent Advances in mHealth Systems: Deployment Architecture for Emergency Response.

Authors:  Enrique Gonzalez; Raul Peña; Alfonso Avila; Cesar Vargas-Rosales; David Munoz-Rodriguez
Journal:  J Healthc Eng       Date:  2017-09-17       Impact factor: 2.682

  5 in total

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