Rigakuryoho Kagaku
Online ISSN : 2434-2807
Print ISSN : 1341-1667
Original Article
Prediction of Gait Independence of Stroke Patients through Signal Detection Analysis in the Convalescent Period
Tatsuki YOSHIMATSUNorihito KABEYoshiyuki HASHIMOTOHyuma MAKIZAKO
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JOURNAL FREE ACCESS

2018 Volume 33 Issue 1 Pages 145-150

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Abstract

[Purpose] This study developed a chart for predicting stroke patients' independence of gait during the convalescent period. [Subjects and Methods] Two hundred fifty-one first-time stroke patients were enrolled in this study. Physical and cognitive functions, basic movement ability, balance ability and activities of daily living were evaluated on admission to a rehabilitation ward for the convalescent stage. Based on this information, a decision tree for predicting independence of gait three months later was developed using signal detection analysis. [Results] Independence in rising motion, balance ability, and cognitive function were extracted as significant predictors. A valid and reliable decision tree was developed. [Conclusion] A chart for predicting independence of gait was developed. This chart is appropriate for the convalescent period after stroke.

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© 2018 by the Society of Physical Therapy Science
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