Intelligent Offloading Application domain: ICT
Research demo More info:
www.iminds.be/en/profiles/2014/06/20/ tim-verbelen
Mobile devices (smartphones, smart watches, Google Glass – and to a lesser extent – tablets) typically lack the resources (for example processing power) to host state-of-the-art applications at acceptable quality-levels. In response to that challenge, offloading part of the application logic to nearby resources makes for an extremely attractive value proposition. In practice, this means that any application could run on any device – no matter how restricted that device is in terms of resources. In this demo, iMinds researchers will show a distributed
NXT_SLEEP Application domain: Health
Resulting from collaborative ICON research More info:
www.iminds.be/en/projects/2014/03/05/nxt_sleep
Everybody realises that sufficient (and good-quality) sleep is essential for our mental and physical well-being. As such, it should not be a surprise that – on average – we spend one third of our lives in bed. Still, a significant part of the Belgian population experiences regular sleeping problems, impacting their ability to socially interact, the quality of their work and proper judgment. Sleep-related breathing disorders (such as snoring and sleep
apnea – the prevalence of which is around 4% in men and 2% in women) present a particular problem, due to their added negative effect on the cardiovascular system. Currently, these sleeping disorders are diagnosed using polysomnography (PSG), an elaborate sleep test that monitors different physiological signals such as heart rate, respiration, EEG, muscle tone and eye movement. These tests must be performed in a sleep laboratory, under the supervision of expert medical staff. Although PSG is (and remains) an important diagnostic tool for sleep medicine, it is an uncomfortable and costly procedure, especially when multiple nights of observation are required. The NXT_SLEEP project therefore focuses on the development of
a next-generation sleep-monitoring platform that is less obtrusive and more comfortable than the traditional polysomnography approach. It not only allows for sleep monitoring (for several nights) at people’s homes, but also uses a new multi-sensor approach in combination with complex algorithms to accurately detect, process and deliver complete and useful
application that runs on their AIOLOS platform, an end-to-end offloading solution covering management aspects, connection to the cloud, bandwidth awareness and more. Making use of intelligent glasses, a smartphone, a tablet, a laptop, the cloud, or a combination thereof, the application takes you back in time, immersing you in pre-recorded video sequences and making you see the recording as if you were there again. As such, the features of the underlying AIOLOS platform are
showcased; not only instantiating or stopping components on any of the available devices, but also migrating components between devices (to offload computation from the intelligent glasses to a smartphone or a server in the network, for instance) and taking into account each device’s specific capabilities (e.g. consulting a larger map on the tablet for easier interaction instead of using the glasses).
information
regarding the physiological parameters that come with sleep- related breathing disorders. During this demo, you will see a real-time visualisation of all
sensor input data, leveraging intelligent mattress technology, wireless patches and micro-sensors. You will also be able to see the intelligently processed data that is ready to be interpreted by the medical staff through a graphical user interface (GUI) that is optimised for each user’s specific knowledge and needs (ranging from nurses to specialists).
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