Validation of Inertial Sensors to Evaluate Gait Stability

The portability of wearable inertial sensors makes them particularly suitable for measuring gait in real-world walking situations. However, it is unclear how well inertial sensors can measure and evaluate gait stability compared to traditional laboratory-based optical motion capture. This study inve...

Full description

Bibliographic Details
Main Authors: Paul M. Riek, Aaron N. Best, Amy R. Wu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/3/1547
_version_ 1797623233187414016
author Paul M. Riek
Aaron N. Best
Amy R. Wu
author_facet Paul M. Riek
Aaron N. Best
Amy R. Wu
author_sort Paul M. Riek
collection DOAJ
description The portability of wearable inertial sensors makes them particularly suitable for measuring gait in real-world walking situations. However, it is unclear how well inertial sensors can measure and evaluate gait stability compared to traditional laboratory-based optical motion capture. This study investigated whether an inertial sensor-based motion-capture suit could accurately assess gait stability. Healthy adult participants were asked to walk normally, with eyes closed, with approximately twice their normal step width, and in tandem. Their motion was simultaneously measured by inertial measurement units (IMU) and optical motion capture (Optical). Gait stability was assessed by calculating the margin of stability (MoS), short-term Lyapunov exponents, and step variability, along with basic gait parameters, using each system. We found that IMUs were able to detect the same differences among conditions as Optical for all but one of the measures. Bland–Altman and intraclass correlation (ICC) analysis demonstrated that mediolateral parameters (step width and mediolateral MoS) were measured less accurately by IMUs compared to their anterior-posterior equivalents (step length and anterior-posterior MoS). Our results demonstrate that IMUs can be used to evaluate gait stability through detecting changes in stability-related measures, but that the magnitudes of these measures might not be accurate or reliable, especially in the mediolateral direction.
first_indexed 2024-03-11T09:25:46Z
format Article
id doaj.art-faa8261e7fa946fbb506094e41980f3c
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-11T09:25:46Z
publishDate 2023-01-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-faa8261e7fa946fbb506094e41980f3c2023-11-16T18:02:39ZengMDPI AGSensors1424-82202023-01-01233154710.3390/s23031547Validation of Inertial Sensors to Evaluate Gait StabilityPaul M. Riek0Aaron N. Best1Amy R. Wu2Ingenuity Labs Research Institute, Mechanical and Materials Engineering, Queen’s University, Kingston, ON K7L 3N6, CanadaIngenuity Labs Research Institute, Mechanical and Materials Engineering, Queen’s University, Kingston, ON K7L 3N6, CanadaIngenuity Labs Research Institute, Mechanical and Materials Engineering, Queen’s University, Kingston, ON K7L 3N6, CanadaThe portability of wearable inertial sensors makes them particularly suitable for measuring gait in real-world walking situations. However, it is unclear how well inertial sensors can measure and evaluate gait stability compared to traditional laboratory-based optical motion capture. This study investigated whether an inertial sensor-based motion-capture suit could accurately assess gait stability. Healthy adult participants were asked to walk normally, with eyes closed, with approximately twice their normal step width, and in tandem. Their motion was simultaneously measured by inertial measurement units (IMU) and optical motion capture (Optical). Gait stability was assessed by calculating the margin of stability (MoS), short-term Lyapunov exponents, and step variability, along with basic gait parameters, using each system. We found that IMUs were able to detect the same differences among conditions as Optical for all but one of the measures. Bland–Altman and intraclass correlation (ICC) analysis demonstrated that mediolateral parameters (step width and mediolateral MoS) were measured less accurately by IMUs compared to their anterior-posterior equivalents (step length and anterior-posterior MoS). Our results demonstrate that IMUs can be used to evaluate gait stability through detecting changes in stability-related measures, but that the magnitudes of these measures might not be accurate or reliable, especially in the mediolateral direction.https://www.mdpi.com/1424-8220/23/3/1547inertial measurement unitgait stabilityhuman locomotionbiomechanics
spellingShingle Paul M. Riek
Aaron N. Best
Amy R. Wu
Validation of Inertial Sensors to Evaluate Gait Stability
Sensors
inertial measurement unit
gait stability
human locomotion
biomechanics
title Validation of Inertial Sensors to Evaluate Gait Stability
title_full Validation of Inertial Sensors to Evaluate Gait Stability
title_fullStr Validation of Inertial Sensors to Evaluate Gait Stability
title_full_unstemmed Validation of Inertial Sensors to Evaluate Gait Stability
title_short Validation of Inertial Sensors to Evaluate Gait Stability
title_sort validation of inertial sensors to evaluate gait stability
topic inertial measurement unit
gait stability
human locomotion
biomechanics
url https://www.mdpi.com/1424-8220/23/3/1547
work_keys_str_mv AT paulmriek validationofinertialsensorstoevaluategaitstability
AT aaronnbest validationofinertialsensorstoevaluategaitstability
AT amyrwu validationofinertialsensorstoevaluategaitstability