2016
DOI: 10.1007/s12650-016-0402-6
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Integrated visualisation of wearable sensor data and risk models for individualised health monitoring and risk assessment to promote patient empowerment

Abstract: Patient empowerment delivers health and social care services that enable people to gain more control of their healthcare needs. With the advancement of sensor technologies, it is increasingly possible to monitor people's health with dedicated wearable sensors. The consistent measurements from a variety of wearable sensors imply that a huge amount of data may be exploited to monitor and predict people's health using medically proven models. In the process of health data representation and analysis, visualisatio… Show more

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Cited by 9 publications
(2 citation statements)
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“…In the context of large number of complex data, visualizing the data can effectively improve people’s understanding, and assist them to make decisions. Therefore, visualization has been widely used in many fields, such as medical health (Zhao et al, 2017), social network (Zhu & Watts, 2010), behavior analysis (Chung et al, 2017; Folter et al, 2014), etc. In the field of behavior analysis, common visualization forms include density map (Wang & Skubic, 2008), building structure diagram (Salim et al, 2014), Work Flow (Chung et al, 2017), line chart (Le et al, 2014), etc.…”
Section: System Designmentioning
confidence: 99%
“…In the context of large number of complex data, visualizing the data can effectively improve people’s understanding, and assist them to make decisions. Therefore, visualization has been widely used in many fields, such as medical health (Zhao et al, 2017), social network (Zhu & Watts, 2010), behavior analysis (Chung et al, 2017; Folter et al, 2014), etc. In the field of behavior analysis, common visualization forms include density map (Wang & Skubic, 2008), building structure diagram (Salim et al, 2014), Work Flow (Chung et al, 2017), line chart (Le et al, 2014), etc.…”
Section: System Designmentioning
confidence: 99%
“…The implementation and evaluation were carried out in a lab setting, the authors stated the patient condition could be captured and detected at the patient location using 5G mobile edge computing. Data presentation : is used to present data to users, in particular those without a deep knowledge of statistics. In [40], authors developed visualisation components to present data collected by wearables and to explore risk models. Combined the two, patients are able to view their existing risks, and to gain awareness of the right pathway to change their lifestyles in order to reduce potential health risks.…”
Section: Health Care Applicationsmentioning
confidence: 99%