Brain Activity and Healthcare in the Smart Home
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 Electroenc...
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KTH, Skolan för teknikvetenskap (SCI)
2014
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ndltd-UPSALLA1-oai-DiVA.org-kth-1539122014-10-10T08:37:04ZBrain Activity and Healthcare in the Smart HomeengAndersson, SofieCarlsson, HannesKTH, Skolan för teknikvetenskap (SCI)KTH, Skolan för teknikvetenskap (SCI)2014A 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. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153912application/pdfinfo:eu-repo/semantics/openAccess |
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English |
format |
Others
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description |
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. |
author |
Andersson, Sofie Carlsson, Hannes |
spellingShingle |
Andersson, Sofie Carlsson, Hannes Brain Activity and Healthcare in the Smart Home |
author_facet |
Andersson, Sofie Carlsson, Hannes |
author_sort |
Andersson, Sofie |
title |
Brain Activity and Healthcare in the Smart Home |
title_short |
Brain Activity and Healthcare in the Smart Home |
title_full |
Brain Activity and Healthcare in the Smart Home |
title_fullStr |
Brain Activity and Healthcare in the Smart Home |
title_full_unstemmed |
Brain Activity and Healthcare in the Smart Home |
title_sort |
brain activity and healthcare in the smart home |
publisher |
KTH, Skolan för teknikvetenskap (SCI) |
publishDate |
2014 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153912 |
work_keys_str_mv |
AT anderssonsofie brainactivityandhealthcareinthesmarthome AT carlssonhannes brainactivityandhealthcareinthesmarthome |
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1716716379859582976 |