Inertial sensing of step kinematics in ambulatory patients with ALS and related motor neuron diseases

Amyotrophic lateral sclerosis (ALS) is a progressive disorder which impairs gait and elevates the risk for falls. Current methods of assessing gait in these patients are infrequent and subjective. The goal of this study was to evaluate wearable-based methods for assessing gait to facilitating better monitoring of ambulatory health and ultimately lessen fall risk. Thirty ambulatory patients seen in ALS clinic were guided by a physical therapist on a short walk, during which inertial sensors recorded their movement. Two methods, utilising sensors at the waist or foot, were used independently to estimate gait parameters. Decreased stride length, increased stride duration and decreased walking speed were associated with lower functional walking scores, and the presence of a cane or walker. Overall, there was no group-wide mean walking speed differences between methods, though the waist method overestimated stride length and walking speed in those with more significant gait dysfunction compared to the foot method. Reconstruction of movement using the foot-based sensor resulted in route segments that were 94 ± 1% standard error of the mean (SEM) the length of a centre-to-centre hallway reference vector, with an angular error of 0.66 ± 0.28° SEM.



Work Title Inertial sensing of step kinematics in ambulatory patients with ALS and related motor neuron diseases
Open Access
  1. Andrew Geronimo
  2. Anne Elizabeth Martin
  3. Zachary Simmons
License In Copyright (Rights Reserved)
Work Type Article
  1. Journal of Medical Engineering & Technology
Publication Date May 21, 2021
Publisher Identifier (DOI)
Deposited July 07, 2021




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  • Added Geronimo__IMU_StepKinmatics_ALS.pdf
  • Added Creator Andrew Geronimo
  • Added Creator Anne Elizabeth Martin
  • Added Creator Zachary Simmons
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