Deakin University

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Data processing of physiological sensor data and alarm determination utilising activity recognition

Version 3 2024-06-17, 20:33
Version 2 2024-06-13, 10:02
Version 1 2016-09-27, 14:16
journal contribution
posted on 2024-06-17, 20:33 authored by JJ Kang, TH Luan, H Larkin
Current physiological sensors are passive and transmit sensed data to Monitoring centre (MC) through wireless body area network (WBAN) without processing data intelligently. We propose a solution to discern data requestors for prioritising and inferring data to reduce transactions and conserve battery power, which is important requirements of mobile health (mHealth). However, there is a problem for alarm determination without knowing the activity of the user. For example, 170 beats per minute of heart rate can be normal during exercising, however an alarm should be raised if this figure has been sensed during sleep. To solve this problem, we suggest utilising the existing activity recognition (AR) applications. Most of health related wearable devices include accelerometers along with physiological sensors. This paper presents a novel approach and solution to utilise physiological data with AR so that they can provide not only improved and efficient services such as alarm determination but also provide richer health information which may provide content for new markets as well as additional application services such as converged mobile health with aged care services. This has been verified by experimented tests using vital signs such as heart pulse rate, respiration rate and body temperature with a demonstrated outcome of AR accelerometer sensors integrated with an Android app.



International journal of information, communication technology and applications






Melbourne, Vic.





Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2016, Australasian Association for Information and Communication Technology




Australasian Association for Information and Communication Technology