Skip to main navigation Skip to search Skip to main content

Quantitative Assessment of Upper Limb Movement in Post-Stroke Adults for Identification of Sensitive Measures in Reaching and Lifting Activities

  • Monika Błaszczyszyn
  • , Agnieszka Szczęsna
  • , Mariusz Konieczny
  • , Paweł Pakosz
  • , Stefan Balko
  • , Zbigniew Borysiuk
  • Opole University of Technology
  • Jan Evangelista Purkyne University in Usti nad Labem

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Background: The assumption of this work is the achievement of objective results of the movement structure, which forms the basis for in-depth analysis and, consequently, for determining the upper limb movements that are most affected by stroke compared to healthy people. Methods: An analysis of relevant and systematically identified features of upper limb movement in post-stroke adults is presented based on scalable hypothesis tests. The basic features were calculated using movements defined by the x, y, and z coordinates (i.e., 3D trajectory time series) and compared to the results of post-stroke patients with healthy controls of similar age. Results: After automatic feature selection, out of the 1004 common features of upper limb movement, the most differentiated were the upper arm movements in reaching kinematics. In terms of movement type, movements in the frontal plane (shoulder abduction and adduction) were the most sensitive to changes. The largest number of discriminating features was determined on the basis of acceleration time series. Conclusions: In the 3D assessment of functional activities of the upper limb, the upper arm turned out to be the most differentiated body segment, especially during abduction and adduction movements. The results indicate a special need to pay attention to abduction and adduction movements to improve the activities of daily living of the upper limbs after a stroke.

Original languageEnglish
Article number3333
JournalJournal of Clinical Medicine
Volume12
Issue number9
DOIs
Publication statusPublished - May 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • post-stroke movement features
  • quantification of movement
  • upper limb

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Quantitative Assessment of Upper Limb Movement in Post-Stroke Adults for Identification of Sensitive Measures in Reaching and Lifting Activities'. Together they form a unique fingerprint.

Cite this