Brain Activity and Healthcare in the Smart Home
Institution: | KTH Royal Institute of Technology |
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Department: | |
Year: | 2014 |
Keywords: | Engineering and Technology; Electrical Engineering, Electronic Engineering, Information Engineering; Teknik och teknologier; Elektroteknik och elektronik; Civilingenjörsexamen - Teknisk fysik; Master of Science in Engineering -Engineering Physics |
Record ID: | 1341969 |
Full text PDF: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153912 |
A step towards improving living standards for elderly and patients is to incorporate healthcare systems in the home. Aiming to increase the safety and independence of these groups this paper highlights a few possible approaches. Specifically the focus has been on; fall detection using the Electroencephalography (EEG) sensor Emotiv EPOC, a monitoring and drug administration system, a control system for home appliances based on EEG and sleep improvement with EEG in the smart home. A fall detection study has been performed, determining whether a fall can be differentiated from similar events. The study concludes that EEG sensors might have potential as part of a fall detection system. The remainder of the project is theoretical. It holds potential, however experiments need to be performed for further conclusions.