Quantification of Unilateral Spatial Neglect Symptoms Based on Identification of Exploratory Ability

Saki Takazawa*, Kazuhiro Yasuda, Rikushi Sabu, Shuntaro Kawaguchi, Hiroyasu Iwata

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unilateral spatial neglect (USN) is the failure to report, respond, or orient to novel or meaningful stimuli presented on the side opposite a brain lesion. In our previous study, we reported that the ability of patients with USN to perform when the neck was fixed (called cognitive ability) was different from that when the neck was not fixed (called exploratory ability). However, the exploratory ability index has not been clarified, and cognitive and exploratory abilities have not been quantified. Thus, in this study, we identified neck movement as an exploratory ability index for patients with USN. Furthermore, we proposed equations to quantify cognitive and exploratory abilities and suggested that these equations can be used to understand patients' neglect symptoms in more detail. These findings revealed that the two evaluations of cognitive and exploratory abilities are crucial in USN evaluation and are key to individualizing intervention for each patient.

Original languageEnglish
Title of host publication2022 International Conference on Rehabilitation Robotics, ICORR 2022
PublisherIEEE Computer Society
ISBN (Electronic)9781665488297
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Rehabilitation Robotics, ICORR 2022 - Rotterdam, Netherlands
Duration: 2022 Jul 252022 Jul 29

Publication series

NameIEEE International Conference on Rehabilitation Robotics
Volume2022-July
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference2022 International Conference on Rehabilitation Robotics, ICORR 2022
Country/TerritoryNetherlands
CityRotterdam
Period22/7/2522/7/29

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Rehabilitation
  • Electrical and Electronic Engineering

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