Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults

Gait and balance impairments are linked with reduced mobility and increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous, high-resolution data. This study tested and validated the utility of a sing...

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Main Authors: Megan K. O’Brien, Marco D. Hidalgo-Araya, Chaithanya K. Mummidisetty, Heike Vallery, Roozbeh Ghaffari, John A. Rogers, Richard Lieber, Arun Jayaraman
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/20/4537
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spelling doaj-6bef035611aa4a008b3de88cab3006632020-11-25T02:11:10ZengMDPI AGSensors1424-82202019-10-011920453710.3390/s19204537s19204537Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy AdultsMegan K. O’Brien0Marco D. Hidalgo-Araya1Chaithanya K. Mummidisetty2Heike Vallery3Roozbeh Ghaffari4John A. Rogers5Richard Lieber6Arun Jayaraman7Max Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL 60611, USAMax Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL 60611, USAMax Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL 60611, USADepartment of BioMechanical Engineering, Delft University of Technology, 2628CD Delft, The NetherlandsCenter for Bio-Integrated Electronics, Departments of Materials Science and Engineering, Biomedical Engineering, Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USACenter for Bio-Integrated Electronics, Departments of Materials Science and Engineering, Biomedical Engineering, Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USAShirley Ryan AbilityLab, Chicago, IL 60611, USAMax Nader Lab for Rehabilitation Technologies and Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL 60611, USAGait and balance impairments are linked with reduced mobility and increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous, high-resolution data. This study tested and validated the utility of a single IMU to quantify gait and balance features during routine clinical outcome tests, and evaluated changes in sensor-derived measurements with age, sex, height, and weight. Age-ranged, healthy individuals (N = 49, 20−70 years) wore a lower back IMU during the 10 m walk test (10MWT), Timed Up and Go (TUG), and Berg Balance Scale (BBS). Spatiotemporal gait parameters computed from the sensor data were validated against gold standard measures, demonstrating excellent agreement for stance time, step time, gait velocity, and step count (intraclass correlation (ICC) > 0.90). There was good agreement for swing time (ICC = 0.78) and moderate agreement for step length (ICC = 0.68). A total of 184 features were calculated from the acceleration and angular velocity signals across these tests, 36 of which had significant correlations with age. This approach was also demonstrated for an individual with stroke, providing higher resolution information about balance, gait, and mobility than the clinical test scores alone. Leveraging mobility data from wireless, wearable sensors can help clinicians and patients more objectively pinpoint impairments, track progression, and set personalized goals during and after rehabilitation.https://www.mdpi.com/1424-8220/19/20/4537wearable sensorsrehabilitationgait eventsgait impairmentpostural swayfall riskten-meter walk testberg balance scaletimed up and go
collection DOAJ
language English
format Article
sources DOAJ
author Megan K. O’Brien
Marco D. Hidalgo-Araya
Chaithanya K. Mummidisetty
Heike Vallery
Roozbeh Ghaffari
John A. Rogers
Richard Lieber
Arun Jayaraman
spellingShingle Megan K. O’Brien
Marco D. Hidalgo-Araya
Chaithanya K. Mummidisetty
Heike Vallery
Roozbeh Ghaffari
John A. Rogers
Richard Lieber
Arun Jayaraman
Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
Sensors
wearable sensors
rehabilitation
gait events
gait impairment
postural sway
fall risk
ten-meter walk test
berg balance scale
timed up and go
author_facet Megan K. O’Brien
Marco D. Hidalgo-Araya
Chaithanya K. Mummidisetty
Heike Vallery
Roozbeh Ghaffari
John A. Rogers
Richard Lieber
Arun Jayaraman
author_sort Megan K. O’Brien
title Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
title_short Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
title_full Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
title_fullStr Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
title_full_unstemmed Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults
title_sort augmenting clinical outcome measures of gait and balance with a single inertial sensor in age-ranged healthy adults
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-10-01
description Gait and balance impairments are linked with reduced mobility and increased risk of falling. Wearable sensing technologies, such as inertial measurement units (IMUs), may augment clinical assessments by providing continuous, high-resolution data. This study tested and validated the utility of a single IMU to quantify gait and balance features during routine clinical outcome tests, and evaluated changes in sensor-derived measurements with age, sex, height, and weight. Age-ranged, healthy individuals (N = 49, 20−70 years) wore a lower back IMU during the 10 m walk test (10MWT), Timed Up and Go (TUG), and Berg Balance Scale (BBS). Spatiotemporal gait parameters computed from the sensor data were validated against gold standard measures, demonstrating excellent agreement for stance time, step time, gait velocity, and step count (intraclass correlation (ICC) > 0.90). There was good agreement for swing time (ICC = 0.78) and moderate agreement for step length (ICC = 0.68). A total of 184 features were calculated from the acceleration and angular velocity signals across these tests, 36 of which had significant correlations with age. This approach was also demonstrated for an individual with stroke, providing higher resolution information about balance, gait, and mobility than the clinical test scores alone. Leveraging mobility data from wireless, wearable sensors can help clinicians and patients more objectively pinpoint impairments, track progression, and set personalized goals during and after rehabilitation.
topic wearable sensors
rehabilitation
gait events
gait impairment
postural sway
fall risk
ten-meter walk test
berg balance scale
timed up and go
url https://www.mdpi.com/1424-8220/19/20/4537
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