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January 17, 2026Sensors0 citationsOpen Access

Sensor-Derived Trunk Stability and Gait Recovery: Evidence of Neuromechanical Associations Following Intensive Robotic Rehabilitation

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HŞHülya ŞirzaiYGYiğit Can GökhanGYGűneş Yavuzer

Key Points

  • This study aims to examine the relationship between trunk stability and gait parameters following robotic rehabilitation.
  • Quantitative observational study with pre–post design
  • Participants underwent 16 sessions of gait training using Tecnobody Smart Gravity Walker
  • Kinematic data collected for trunk and hip flexion–extension before and after training
  • Paired t-tests and correlations used to analyze pre–post differences and relationships between variables.
  • Significant increases in hip and trunk flexion–extension and center-of-gravity displacement
  • Reduced trunk lateral flexion post-training
  • Trunk flexion–extension correlates positively with gait speed, step length, and stride length
  • Trunk lateral flexion is associated with cadence and stride length.

Abstract

This quantitative observational study with pre–post design aimed to examine joint-specific kinematic adaptations and the relationship between trunk stability and spatiotemporal gait parameters following intensive robotic rehabilitation. A total of 12 neurological patients completed 16 sessions of gait training using the Tecnobody Smart Gravity Walker. Pre- and post-training kinematic data were collected for bilateral hip and knee flexion–extension, trunk flexion–extension, trunk lateral flexion, and center-of-gravity displacement. Waveforms were normalized to 100% stride. Paired t-tests assessed pre–post differences, and correlations examined associations between trunk stability and gait performance. Significant increases were found in right hip flexion–extension (t = 3.44, p < 0.001), trunk flexion–extension (t = 9.49, p < 0.001), and center-of-gravity displacement (t = 15.15, p < 0.001), with reduced trunk lateral flexion (t = –8.64, p < 0.001). Trunk flexion–extension correlated with gait speed (r = 0.74), step length (r = 0.68), and stride length (r = 0.71); trunk lateral flexion correlated with cadence (r = 0.66) and stride length (r = 0.70). Intensive robotic rehabilitation improved trunk and hip kinematics, supporting trunk stability as an important biomechanical correlate of gait recovery. Sensor-derived metrics revealed strong neuromechanical coupling between postural control and locomotion in neurological patients.

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Cite This Study

Şirzai et al. (2026) studied this question.

synapsesocial.com/papers/696b2696d2a12237a9349df7https://doi.org/10.3390/s26020573
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