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Performance analysis of multiple Indoor Positioning Systems in a healthcare environment

Overview of attention for article published in International Journal of Health Geographics, February 2016
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Title
Performance analysis of multiple Indoor Positioning Systems in a healthcare environment
Published in
International Journal of Health Geographics, February 2016
DOI 10.1186/s12942-016-0034-z
Pubmed ID
Authors

Tom Van Haute, Eli De Poorter, Pieter Crombez, Filip Lemic, Vlado Handziski, Niklas Wirström, Adam Wolisz, Thiemo Voigt, Ingrid Moerman

Abstract

The combination of an aging population and nursing staff shortages implies the need for more advanced systems in the healthcare industry. Many key enablers for the optimization of healthcare systems require provisioning of location awareness for patients (e.g. with dementia), nurses, doctors, assets, etc. Therefore, many Indoor Positioning Systems (IPSs) will be indispensable in healthcare systems. However, although many IPSs have been proposed in literature, most of these have been evaluated in non-representative environments such as office buildings rather than in a hospital. To remedy this, the paper evaluates the performance of existing IPSs in an operational modern healthcare environment: the "Sint-Jozefs kliniek Izegem" hospital in Belgium. The evaluation (data-collecting and data-processing) is executed using a standardized methodology and evaluates the point accuracy, room accuracy and latency of multiple IPSs. To evaluate the solutions, the position of a stationary device was requested at 73 evaluation locations. By using the same evaluation locations for all IPSs the performance of all systems could objectively be compared. Several trends can be identified such as the fact that Wi-Fi based fingerprinting solutions have the best accuracy result (point accuracy of 1.21 m and room accuracy of 98 %) however it requires calibration before use and needs 5.43 s to estimate the location. On the other hand, proximity based solutions (based on sensor nodes) are significantly cheaper to install, do not require calibration and still obtain acceptable room accuracy results. As a conclusion of this paper, Wi-Fi based solutions have the most potential for an indoor positioning service in case when accuracy is the most important metric. Applying the fingerprinting approach with an anchor installed in every two rooms is the preferred solution for a hospital environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 20%
Student > Bachelor 21 14%
Student > Master 19 13%
Researcher 16 11%
Other 8 5%
Other 26 17%
Unknown 31 20%
Readers by discipline Count As %
Engineering 37 24%
Computer Science 33 22%
Medicine and Dentistry 10 7%
Nursing and Health Professions 9 6%
Social Sciences 7 5%
Other 20 13%
Unknown 36 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 February 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from International Journal of Health Geographics
#549
of 629 outputs
Outputs of similar age
#333,927
of 397,089 outputs
Outputs of similar age from International Journal of Health Geographics
#12
of 14 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.