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Application of an emergency alarm system for physiological sensors utilizing smart devices

Kang, James and Larkin, Henry 2017, Application of an emergency alarm system for physiological sensors utilizing smart devices, Technologies, vol. 5, no. 26, pp. 1-23, doi: 10.3390/technologies5020026.

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Title Application of an emergency alarm system for physiological sensors utilizing smart devices
Author(s) Kang, James
Larkin, HenryORCID iD for Larkin, Henry orcid.org/0000-0001-5867-1542
Journal name Technologies
Volume number 5
Issue number 26
Start page 1
End page 23
Total pages 23
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2017-05-27
ISSN 2227-7080
Keyword(s) body sensors
wireless body area network
mHealth
personal sensor device
smart device app
activity recognition (AR)
health services
emergency alarm system
physiological sensors
Summary Since innovative smart devices and body sensors including wearables have become prevalent with health informatics such as in Mobile Health (mHealth), we proposed to infer sensed data in sensor nodes to reduce the battery power consumption and bandwidth usage in wireless body area networks. It is critical to raise an alarm when the user is in an urgent situation, which can be done by analysing the sensed data against the user’s activity status utilizing accelerometer sensors. However, when the activity changes frequently, there may be an increase in false alarms, which increases sensing and transferring of data, resulting in higher resource consumption. To reduce and mitigate the problem, we propose verifying the alarm and sending a user feedback using a smart device or smartwatch application so that a user can respond to whether the alarm is true or false. This paper presents a user-feedback system for use in activity recognition to mitigate and improve possible false alarm situations, which will consequently result in helping sensors to reduce the frequency of transactions and transmissions in wireless body area networks. As a contribution, the alarm determination can not only improve the accuracy of the alarm by utilising mobile app screen and speech recognition but can also reduce possible false alarms. It may also communicate with their physician in real-time who can assess the status with health data provided by the sensors.
Language eng
DOI 10.3390/technologies5020026
Field of Research 080301 Bioinformatics Software
080702 Health Informatics
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30096940

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.