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Context Awareness in Health Care through Ubiquitous Sensing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 5692

Special Issue Editors


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Guest Editor
Division of Information Transmission Systems and Material Technology, National Technical University of Athens, 10682 Athens, Greece
Interests: biomedical signal processing; clinical engineering; image processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Lab of Medical Physics, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: biomedical signal processing; clinical engineering; image processing; big data; m-health
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Health care will evolve as new technologies are adopted. Even if it is difficult to predict what the future hospital will be, aspects such as context awareness will help health care professionals to shift part of their activities to machines. Reinvention of health care  is complex. Improving the quality of healthcare and the prospects of "aging in place" using wireless sensor technology requires solving difficult problems in scale, energy management, data access, security, and privacy. Recent developments of information technologies are leading the advent of the era of ubiquitous healthcare, which means healthcare services at any time and at any places.

Prof. Dimitris Dionissios Koutsouris
Prof. Panagiotis Bamidis
Guest Editors

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Keywords

  • Medical services
  • Communication system security
  • Data security
  • Data privacy
  • Context awareness
  • Wearable sensors
  • Biomedical monitoring
  • Information technology
  • Middleware
  • Remote monitoring

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Published Papers (1 paper)

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Research

18 pages, 2635 KiB  
Article
Detection of Volatile Compounds Emitted by Bacteria in Wounds Using Gas Sensors
by Carlos Salinas Alvarez, Daniel Sierra-Sosa, Begonya Garcia-Zapirain, Deborah Yoder-Himes and Adel Elmaghraby
Sensors 2019, 19(7), 1523; https://doi.org/10.3390/s19071523 - 28 Mar 2019
Cited by 8 | Viewed by 5251
Abstract
In this paper we analyze an experiment for the use of low-cost gas sensors intended to detect bacteria in wounds using a non-intrusive technique. Seven different genera/species of microbes tend to be present in most wound infections. Detection of these bacteria usually requires [...] Read more.
In this paper we analyze an experiment for the use of low-cost gas sensors intended to detect bacteria in wounds using a non-intrusive technique. Seven different genera/species of microbes tend to be present in most wound infections. Detection of these bacteria usually requires sample and laboratory testing which is costly, inconvenient and time-consuming. The validation processes for these sensors with nineteen types of microbes (1 Candida, 2 Enterococcus, 6 Staphylococcus, 1 Aeromonas, 1 Micrococcus, 2 E. coli and 6 Pseudomonas) are presented here, in which four sensors were evaluated: TGS-826 used for ammonia and amines, MQ-3 used for alcohol detection, MQ-135 for CO2 and MQ-138 for acetone detection. Validation was undertaken by studying the behavior of the sensors at different distances and gas concentrations. Preliminary results with liquid cultures of 108 CFU/mL and solid cultures of 108 CFU/cm2 of the 6 Pseudomonas aeruginosa strains revealed that the four gas sensors showed a response at a height of 5 mm. The ammonia detection response of the TGS-826 to Pseudomonas showed the highest responses for the experimental samples over the background signals, with a difference between the values of up to 60 units in the solid samples and the most consistent and constant values. This could suggest that this sensor is a good detector of Pseudomonas aeruginosa, and the recording made of its values could be indicative of the detection of this species. All the species revealed similar CO2 emission and a high response rate with acetone for Micrococcus, Aeromonas and Staphylococcus. Full article
(This article belongs to the Special Issue Context Awareness in Health Care through Ubiquitous Sensing)
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