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Related Concept Videos

Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

817
An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the torque...
817

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Related Experiment Video

Updated: Feb 19, 2026

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

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The TWIST Algorithm Predicts Time to Walking Independently After Stroke.

Marie-Claire Smith1, P Alan Barber1,2, Cathy M Stinear1

  • 11 University of Auckland, Auckland, New Zealand.

Neurorehabilitation and Neural Repair
|November 2, 2017
PubMed
Summary
This summary is machine-generated.

The Time to Walking Independently after STroke (TWIST) algorithm accurately predicts walking recovery in stroke patients using simple bedside tests. This tool aids in determining when stroke survivors will walk independently, improving discharge planning.

Keywords:
lower extremityprognosisstroketrunk controlwalking

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Clinical Prediction Modeling

Background:

  • Regaining independent walking post-stroke is crucial for patient quality of life and hospital discharge.
  • Predicting walking recovery is essential for effective rehabilitation planning and resource allocation.

Purpose of the Study:

  • To develop and validate an algorithm for predicting the likelihood and timing of independent walking post-stroke.
  • To identify key clinical factors that predict functional ambulation recovery.

Main Methods:

  • Adult stroke survivors with lower limb weakness were assessed within 3 days of stroke.
  • Clinical assessments, including the Trunk Control Test and hip extension strength, were performed 1-2 weeks post-stroke.
  • Classification and Regression Tree (CART) analysis was employed to build the predictive algorithm.

Main Results:

  • The developed Time to Walking Independently after STroke (TWIST) algorithm achieved 95% prediction accuracy.
  • A Trunk Control Test score >40 at 1 week predicted independent walking within 6 weeks.
  • Patients with a Trunk Control Test score <40 required hip extension strength (MRC grade ≥3) to walk independently by 12 weeks.

Conclusions:

  • The TWIST algorithm offers accurate prediction of independent walking post-stroke using simple bedside measures taken 1 week after the event.
  • This predictive tool can assist clinicians in anticipating functional recovery and informing discharge decisions.
  • Further validation in larger cohorts is necessary to confirm the algorithm's generalizability and clinical utility.