Literature DB >> 23856393

Can pervasive sensing address current challenges in global healthcare?

Louis Atallah1, Benny Lo, Guang-Zhong Yang.   

Abstract

Important challenges facing global healthcare include the increase in the number of people affected by escalating healthcare costs, chronic and infectious diseases, the need for better and more affordable elderly care and expanding urbanisation combined with air and water pollution. Recent advances in pervasive sensing technologies have led to miniaturised sensor networks that can be worn or integrated within the living environment without affecting a person's daily patterns. These sensors promise to change healthcare from snapshot measurements of physiological parameters to continuous monitoring enabling clinicians to provide guidance on a daily basis. This article surveys several of the solutions provided by these sensor platforms from elderly care to neonatal monitoring and environmental mapping. Some of the opportunities available and the challenges facing the adoption of such technologies in large-scale epidemiological studies are also discussed.
Copyright © 2012 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ageing; Chronic disease; Global healthcare; Pervasive sensing; Technology

Mesh:

Year:  2012        PMID: 23856393     DOI: 10.1016/j.jegh.2011.11.005

Source DB:  PubMed          Journal:  J Epidemiol Glob Health        ISSN: 2210-6006


  3 in total

Review 1.  Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges.

Authors:  Hadi Banaee; Mobyen Uddin Ahmed; Amy Loutfi
Journal:  Sensors (Basel)       Date:  2013-12-17       Impact factor: 3.576

2.  The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2.

Authors:  Benjamin Harris Peterson Corman; Sritha Rajupet; Fan Ye; Elinor Randi Schoenfeld
Journal:  J Med Internet Res       Date:  2022-01-26       Impact factor: 5.428

3.  Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors.

Authors:  Irfan Mehmood; Muhammad Sajjad; Sung Wook Baik
Journal:  Sensors (Basel)       Date:  2014-09-15       Impact factor: 3.576

  3 in total

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