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Interactive visualization of sensor and self-reported data of patients with Parkinson’s disease
Linnaeus University, Växjö, Sweden.
Örebro University, Örebro University School of Business. (Informatics)ORCID iD: 0000-0002-2372-4226
2019 (English)Other (Other academic)
Abstract [en]

Advancements in telemedicine have been helpful for frequent monitoring of patients with Parkinson’s disease (PD) from remote locations and assessment of their individual symptoms and treatment-related complications. These data can be useful for helping clinicians and patients to interpret symptom states and individually tailor the treatments by visualizing the physiological information collected by sensor-based systems as well as patient self-reported states. Here we present various visualization and interaction techniques to help physicians explore patient’s daily activities, which could be useful for guiding them during the decision-making process. An interface is designed to visualize symptom and medication information, collected by an Internet of Things-based system comprising of a smartphone, electronic dosing device, wrist sensor and a bed sensor.

Place, publisher, year, pages
2019.
National Category
Human Computer Interaction Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-79350OAI: oai:DiVA.org:oru-79350DiVA, id: diva2:1388332
Note

MIRAI AGEING Seminar, November 13-14, 2019, Stockholm

Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2020-01-28Bibliographically approved

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Memedi, Mevludin

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf