Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking

This study investigated the gait characteristics of healthy young adults using shoe-type inertial measurement units (IMU) during treadmill walking. A total of 1478 participants were tested. Principal component analyses (PCA) were conducted to determine which principal components (PC<sub>s</...

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Main Authors: Myeounggon Lee, Changhong Youm, Byungjoo Noh, Hwayoung Park
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/7/2095
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author Myeounggon Lee
Changhong Youm
Byungjoo Noh
Hwayoung Park
author_facet Myeounggon Lee
Changhong Youm
Byungjoo Noh
Hwayoung Park
author_sort Myeounggon Lee
collection DOAJ
description This study investigated the gait characteristics of healthy young adults using shoe-type inertial measurement units (IMU) during treadmill walking. A total of 1478 participants were tested. Principal component analyses (PCA) were conducted to determine which principal components (PC<sub>s</sub>) best defined the characteristics of healthy young adults. A non-hierarchical cluster analysis was conducted to evaluate the essential gait ability, according to the results of the PC<sub>1</sub> score. One-way repeated analysis of variance with the Bonferroni correction was used to compare gait performances in the cluster groups. PCA outcomes indicated 76.9% variance for PC<sub>1</sub>–PC<sub>6</sub>, where PC<sub>1</sub> (gait variability (GV): 18.5%), PC<sub>2</sub> (pace: 17.8%), PC<sub>3</sub> (rhythm and phase: 13.9%), and PC<sub>4</sub> (bilateral coordination: 11.2%) were the gait-related factors. All of the pace, rhythm, GV, and variables for bilateral coordination classified the gait ability in the cluster groups. We suggest that the treadmill walking task may be reliable to evaluate the gait performances, which may provide insight into understanding the decline of gait ability. The presented results are considered meaningful for understanding the gait patterns of healthy adults and may prove useful as reference outcomes for future gait analyses.
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spelling doaj.art-bcd3dda9da5f435cac8cd3ecb41e116c2023-11-19T21:01:01ZengMDPI AGSensors1424-82202020-04-01207209510.3390/s20072095Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill WalkingMyeounggon Lee0Changhong Youm1Byungjoo Noh2Hwayoung Park3Biomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, KoreaBiomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, KoreaDepartment of Healthcare and Science, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, KoreaBiomechanics Laboratory, College of Health Sciences, Dong-A University, Saha-gu, Busan 49315, KoreaThis study investigated the gait characteristics of healthy young adults using shoe-type inertial measurement units (IMU) during treadmill walking. A total of 1478 participants were tested. Principal component analyses (PCA) were conducted to determine which principal components (PC<sub>s</sub>) best defined the characteristics of healthy young adults. A non-hierarchical cluster analysis was conducted to evaluate the essential gait ability, according to the results of the PC<sub>1</sub> score. One-way repeated analysis of variance with the Bonferroni correction was used to compare gait performances in the cluster groups. PCA outcomes indicated 76.9% variance for PC<sub>1</sub>–PC<sub>6</sub>, where PC<sub>1</sub> (gait variability (GV): 18.5%), PC<sub>2</sub> (pace: 17.8%), PC<sub>3</sub> (rhythm and phase: 13.9%), and PC<sub>4</sub> (bilateral coordination: 11.2%) were the gait-related factors. All of the pace, rhythm, GV, and variables for bilateral coordination classified the gait ability in the cluster groups. We suggest that the treadmill walking task may be reliable to evaluate the gait performances, which may provide insight into understanding the decline of gait ability. The presented results are considered meaningful for understanding the gait patterns of healthy adults and may prove useful as reference outcomes for future gait analyses.https://www.mdpi.com/1424-8220/20/7/2095inertial measurement unitswearablevariabilitywalkingsensornormative values
spellingShingle Myeounggon Lee
Changhong Youm
Byungjoo Noh
Hwayoung Park
Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
Sensors
inertial measurement units
wearable
variability
walking
sensor
normative values
title Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
title_full Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
title_fullStr Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
title_full_unstemmed Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
title_short Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking
title_sort gait characteristics based on shoe type inertial measurement units in healthy young adults during treadmill walking
topic inertial measurement units
wearable
variability
walking
sensor
normative values
url https://www.mdpi.com/1424-8220/20/7/2095
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AT changhongyoum gaitcharacteristicsbasedonshoetypeinertialmeasurementunitsinhealthyyoungadultsduringtreadmillwalking
AT byungjoonoh gaitcharacteristicsbasedonshoetypeinertialmeasurementunitsinhealthyyoungadultsduringtreadmillwalking
AT hwayoungpark gaitcharacteristicsbasedonshoetypeinertialmeasurementunitsinhealthyyoungadultsduringtreadmillwalking