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Related Experiment Video

Updated: Feb 25, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
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Predicting independent dressing after stroke using path and neural network analyses.

Shotaro Sasaki1,2, Makoto Suzuki2,3, Yoshitsugu Omori2,4

  • 1Department of Rehabilitation, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Kanagawa, Japan.

Medicine
|February 24, 2026
PubMed
Summary
This summary is machine-generated.

Dressing performance in daily living is highly dependent on the speed of dressing. Motor and cognitive functions indirectly impact dressing ability by influencing this speed, crucial for rehabilitation outcomes.

Keywords:
activities of daily livingdressingpredictionstroke

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Area of Science:

  • Rehabilitation Medicine
  • Neuroscience
  • Artificial Intelligence in Healthcare

Background:

  • Dressing skill is a complex activity influenced by motor and cognitive functions.
  • Effective rehabilitation requires understanding the hierarchy of factors affecting daily dressing performance.
  • Predicting dressing performance is vital for tailoring rehabilitation strategies for stroke patients.

Purpose of the Study:

  • To clarify the interrelationships among motor function, cognitive function, dressing skill, speed of dressing, and daily dressing performance.
  • To develop and validate a convolutional neural network (CNN) model for predicting dressing performance.

Main Methods:

  • Retrospective study involving 243 stroke patients.
  • Path analysis to examine interrelationships among key variables in the first round.
  • Development and evaluation of a CNN model for prediction in the second round (n=153).

Main Results:

  • Severity of paresis, unilateral spatial neglect, attention disorder, and dressing skill showed significant causal relationships with dressing speed and performance.
  • Speed of dressing was the most significant direct predictor of daily dressing performance.
  • The CNN model achieved a high predictive accuracy (AUC = 0.939 ± 0.015) for dressing speed and performance.

Conclusions:

  • Daily dressing performance is strongly predicted by the speed of dressing.
  • Motor and cognitive impairments influence dressing performance indirectly through their effect on dressing speed.
  • The findings support the importance of addressing dressing speed in stroke rehabilitation programs.