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Extracting Body Landmarks from Videos for Parkinson Gait Analysis
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0003-0403-338X
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Patients with Parkinson disease (PD) exhibit a gait disorder called festinating gait which is caused by deficiency of dopamine in the basal ganglia. To analyze gait of patients with PD, different spatiotemporal parameters such as stride length, cadence, and walking speed should be calculated. This paper aims to present a method to extract useful information represented by the positions of certain landmarks on the human body that can be used for analysis of PD patients’ gait. This method is tested using 132 videos collected from 7 PD patients and 7 healthy controls. The positions of 4 body landmarks, namely body’s center of gravity (COG), the position of the head, and the position of the feet, was computed using a total of more than 41000 of video frames. Results of object’s movement plots show high level of accuracy in the calculation of the body landmarks.

Place, publisher, year, edition, pages
2019.
National Category
Medical Image Processing
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-30583OAI: oai:DiVA.org:du-30583DiVA, id: diva2:1339483
Conference
32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain, 5-7 June 2019
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2019-07-30Bibliographically approved

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Fleyeh, HasanWestin, Jerker

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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