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Rehabilitation at Home of Patients with Neglect Using a Telemedical Intervention: a Security Perspective
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The rehabilitation of stroke patients suffering from neglect is today a time and resource heavy process for therapists and patients. New technolog ybased methods are currently being developed to make the process easier and make the rehabilitation more in control by the patient. One method is the RehAttTM currently developed by Brain Stimulation AB, the aim of this thesis is to investigate the possibility to use this method at home with a telemedicine solution. The patient-specific data produced by the software makes the foundation for the assessment done by doctors or therapists in the rehabilitation process. This needs to be accessible for the assessor and therefore must be transferred securely between the two parties. The security of the system will be the main focus of this thesis.

The major contributions presented in the thesis includes a list of requirements for a telemedicine solution for the existing software together with a system design and a demo implementation. Another important contributionis an introduction to the digital platforms currently building up the Swedish national healthcare system, which is based on a literature study and interviews. A deeper evaluation study was conducted of currently used systems and tools within healthcare systems to examine if existing software could be used in a solution to allow integration against national healthcare platforms, focused on Swedish healthcare platform.

An introduction is also provided to the security topics of digital healthcare, based on recent research in the security field. The results of this literature study also informed the design of the telemedical system infocus for this thesis.

Place, publisher, year, edition, pages
2016. , 86 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-128403OAI: oai:DiVA.org:umu-128403DiVA: diva2:1051970
External cooperation
Brain Stimulation AB
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2016-12-06 Created: 2016-12-05 Last updated: 2016-12-06Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf