Altered gait stability and regularity in lower limb amputees observed across different body segments

The lack of sensory feedback coupled with mechanical constraints due to the prosthetic leg increases walking instability and the risk of falling in lower limb amputees. We investigated kinematic regularity and stability of different body segments in lower limb amputees during walking to identify possible altered dynamics leading to compensatory movements. We measured the three-dimensional acceleration and angular velocity of 15 body segments during two minutes of treadmill walking at three different velocities. The maximal Lyapunov exponents and fuzzy entropy were calculated from these data to assess local dynamic stability and regularity. Probabilistic principal component analysis (PPCA) was used to select the body segments that showed the highest variability between amputees and able-bodied individuals. Amputees exhibited increased instability in acceleration patterns, particularly at low walking velocity (1 km/h), regardless of body segment and direction. Angular velocity patterns were more unstable in amputees, especially on the amputated side. Altered regularity adaptation was observed with higher velocity in amputees, with the intact side showing less adaptive patterns than controls. These results further suggest that amputees have a holistically disrupted gait and balance system. Our analysis of non-linear gait dynamics provides new insights into the complex challenges faced by amputees during walking, particularly in adapting to different gait velocities.

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Publication Details

Journal
Journal of Biomechanics
Published
2025-04-23
DOI
https://doi.org/10.1016/j.jbiomech.2025.112723
Citations
1
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.67

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article

Altered gait stability and regularity in lower limb amputees observed across different body segments

Georg Werner Herget, Lukas Klein, Thomas Krauskopf, Philipp Maier et al.
1 citations
Journal of Biomechanics
Muscle activation and electromyography studies
0.67
article

Altered gait stability and regularity in lower limb amputees observed across different body segments

Georg Werner Herget, Lukas Klein, Thomas Krauskopf, Philipp Maier, Thomas C. Stieglitz, Brett M. Meyer, Marc Mueller, Cristian Pasluosta, Peter Deibert, Wolfram Burgard, F Pelke, C Otyakmazoglu
article en
1 citations

Abstract

The lack of sensory feedback coupled with mechanical constraints due to the prosthetic leg increases walking instability and the risk of falling in lower limb amputees. We investigated kinematic regularity and stability of different body segments in lower limb amputees during walking to identify possible altered dynamics leading to compensatory movements. We measured the three-dimensional acceleration and angular velocity of 15 body segments during two minutes of treadmill walking at three different velocities. The maximal Lyapunov exponents and fuzzy entropy were calculated from these data to assess local dynamic stability and regularity. Probabilistic principal component analysis (PPCA) was used to select the body segments that showed the highest variability between amputees and able-bodied individuals. Amputees exhibited increased instability in acceleration patterns, particularly at low walking velocity (1 km/h), regardless of body segment and direction. Angular velocity patterns were more unstable in amputees, especially on the amputated side. Altered regularity adaptation was observed with higher velocity in amputees, with the intact side showing less adaptive patterns than controls. These results further suggest that amputees have a holistically disrupted gait and balance system. Our analysis of non-linear gait dynamics provides new insights into the complex challenges faced by amputees during walking, particularly in adapting to different gait velocities.

Journal of BiomechanicsVol. 186
University of Freiburg (DE), University Medical Center Freiburg (DE), Lutheran University of Applied Sciences Nuremberg (DE), Bernstein Center for Computational Neuroscience Freiburg (DE), University of Technology Nuremberg
Deutsche Forschungsgemeinschaft, BrainLinks-BrainTools
Openalex Percentile: Top 33%
Muscle activation and electromyography studies
0.67
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