Dynamic Stability, Symmetry, and Smoothness of Gait in People with Neurological Health Conditions

Sensors (Basel). 2024 Apr 11;24(8):2451. doi: 10.3390/s24082451.

Abstract

Neurological disorders such as stroke, Parkinson's disease (PD), and severe traumatic brain injury (sTBI) are leading global causes of disability and mortality. This study aimed to assess the ability to walk of patients with sTBI, stroke, and PD, identifying the differences in dynamic postural stability, symmetry, and smoothness during various dynamic motor tasks. Sixty people with neurological disorders and 20 healthy participants were recruited. Inertial measurement unit (IMU) sensors were employed to measure spatiotemporal parameters and gait quality indices during different motor tasks. The Mini-BESTest, Berg Balance Scale, and Dynamic Gait Index Scoring were also used to evaluate balance and gait. People with stroke exhibited the most compromised biomechanical patterns, with lower walking speed, increased stride duration, and decreased stride frequency. They also showed higher upper body instability and greater variability in gait stability indices, as well as less gait symmetry and smoothness. PD and sTBI patients displayed significantly different temporal parameters and differences in stability parameters only at the pelvis level and in the smoothness index during both linear and curved paths. This study provides a biomechanical characterization of dynamic stability, symmetry, and smoothness in people with stroke, sTBI, and PD using an IMU-based ecological assessment.

Keywords: balance; biomechanics; brain injury; gait; inertial sensors; neurologic disorder; technology.

MeSH terms

  • Adult
  • Aged
  • Biomechanical Phenomena / physiology
  • Brain Injuries, Traumatic / physiopathology
  • Female
  • Gait* / physiology
  • Humans
  • Male
  • Middle Aged
  • Parkinson Disease* / physiopathology
  • Postural Balance* / physiology
  • Stroke* / physiopathology
  • Walking / physiology
  • Walking Speed / physiology