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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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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