Evaluation of tracking devices in a hospital environment
There arc three major paths of spreading infectious diseases. The infectious diseases can spread through physical contact, air-home or spread through vectors (eg. mosquitoes, fleas, lice or ticks) and vehicles (eg. food and water). A pat lent who was admitted to hospital may acquire an infection due...
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sg-ntu-dr.10356-188462023-03-11T16:59:47Z Evaluation of tracking devices in a hospital environment Cho, Jacqueline Hui Ming Tay Joc Cing School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Assistive technology DRNTU::Engineering::Bioengineering There arc three major paths of spreading infectious diseases. The infectious diseases can spread through physical contact, air-home or spread through vectors (eg. mosquitoes, fleas, lice or ticks) and vehicles (eg. food and water). A pat lent who was admitted to hospital may acquire an infection due to this through any of these three paths. This type of infection is called nosocomial infection. Art individual-based epidemiological simulation model named ASINE (Agent-based Simulation for Infections in the Nosocomial Environment) has been developed in NTU for the purpose of accurately simulating the dynamics of infectious diseases spread among patients and staffs within Tan Tock Seng Hospital (TTSH). Contact tracing is a key element in ASINE. This project focused on the exploration of RFID technology applied as an effective and non- intrusive contact tracing tool to automatic capture data relating to the patients’, health professionals’ and visitors’ activity patterns in a hospital context. The literature study of RFID systems architecture - RFID tags, RFID readers, RFID controllers, host and middleware, communication infrastructures like Bluetooth, Wi-Fi and ZigBee arc covered in this dissertation. This report is centered on the evaluation of two solutions using CADl Scientific he Ltd’s SmartTAG, SmartNODE and SmartSense. They are used for the purpose of contact tracing purpose for ASINE input data collections. The findings and concerns for each solution are individually discussed in the report. Finally, a new solution is proposed to suit the ASINE Movement Profiling usage. Recommendation for future works is also suggested at the end of the report. Master of Science (Biomedical Engineering) 2009-07-20T04:46:37Z 2009-07-20T04:46:37Z 2008 2008 Thesis http://hdl.handle.net/10356/18846 en 154 p. application/pdf |
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DRNTU::Engineering::Mechanical engineering::Assistive technology DRNTU::Engineering::Bioengineering Cho, Jacqueline Hui Ming Evaluation of tracking devices in a hospital environment |
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There arc three major paths of spreading infectious diseases. The infectious diseases can spread through physical contact, air-home or spread through vectors (eg. mosquitoes, fleas, lice or ticks) and vehicles (eg. food and water). A pat lent who was admitted to hospital may acquire an infection due to this through any of these three paths. This type of infection is called nosocomial infection.
Art individual-based epidemiological simulation model named ASINE (Agent-based Simulation for Infections in the Nosocomial Environment) has been developed in NTU for the purpose of accurately simulating the dynamics of infectious diseases spread among patients and staffs within Tan Tock Seng Hospital (TTSH). Contact tracing is a key element in ASINE.
This project focused on the exploration of RFID technology applied as an effective and non- intrusive contact tracing tool to automatic capture data relating to the patients’, health professionals’ and visitors’ activity patterns in a hospital context.
The literature study of RFID systems architecture - RFID tags, RFID readers, RFID controllers, host and middleware, communication infrastructures like Bluetooth, Wi-Fi and ZigBee arc covered in this dissertation.
This report is centered on the evaluation of two solutions using CADl Scientific he Ltd’s SmartTAG, SmartNODE and SmartSense. They are used for the purpose of contact tracing purpose for ASINE input data collections. The findings and concerns for each solution are individually discussed in the report.
Finally, a new solution is proposed to suit the ASINE Movement Profiling usage. Recommendation for future works is also suggested at the end of the report. |
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Tay Joc Cing |
author_facet |
Tay Joc Cing Cho, Jacqueline Hui Ming |
format |
Theses and Dissertations |
author |
Cho, Jacqueline Hui Ming |
author_sort |
Cho, Jacqueline Hui Ming |
title |
Evaluation of tracking devices in a hospital environment |
title_short |
Evaluation of tracking devices in a hospital environment |
title_full |
Evaluation of tracking devices in a hospital environment |
title_fullStr |
Evaluation of tracking devices in a hospital environment |
title_full_unstemmed |
Evaluation of tracking devices in a hospital environment |
title_sort |
evaluation of tracking devices in a hospital environment |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/18846 |
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1761781435068317696 |