Accuracy of Sensor-Based Measurement of Clinically Relevant Motor Activities in Daily Life of Children With Mobility Impairments
Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved..
OBJECTIVE: This study aimed to determine the accuracy of 3 sensor configurations and corresponding algorithms deriving clinically relevant outcomes of everyday life motor activities in children undergoing rehabilitation. These outcomes were identified in 2 preceding studies assessing the needs of pediatric rehabilitation. The first algorithm estimates the duration of lying, sitting, and standing positions and the number of sit-to-stand transitions with data from a trunk and a thigh sensor. The second algorithm detects active and passive wheeling periods with data from a wrist and a wheelchair sensor. The third algorithm detects free and assisted walking periods and estimates the covered altitude change during stair climbing with data from a single ankle sensor and a sensor placed on walking aids.
DESIGN: The participants performed a semi-structured activity circuit while wearing inertial sensors on both wrists, the sternum, and the thigh and shank of the less-affected side. The circuit included watching a movie, playing, cycling, drinking, and moving around between facilities. Video recordings, which 2 independent researchers labeled, served as reference criteria to determine the algorithms' performance.
SETTING: In-patient rehabilitation center.
PARTICIPANTS: Thirty-one children and adolescents with mobility impairments who were able to walk or use a manual wheelchair for household distances (N=31).
INTERVENTIONS: Not applicable.
MAIN OUTCOME MEASURE(S): The algorithms' activity classification accuracies.
RESULTS: The activity classification accuracy was 97% for the posture detection algorithm, 96% for the wheeling detection algorithm, and 93% for the walking detection algorithm.
CONCLUSION(S): The 3 sensor configurations and corresponding algorithms presented in this study revealed accurate measurements of everyday life motor activities in children with mobility impairments. To follow-up on this promising results, the sensor systems needs to be tested in long-term measurements outside the clinic before using the system to determine the children's motor performance in their habitual environment for clinical and scientific purposes.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:105 |
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| Enthalten in: |
Archives of physical medicine and rehabilitation - 105(2024), 1 vom: 16. Jan., Seite 27-33 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Rast, Fabian Marcel [VerfasserIn] |
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| Links: |
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| Themen: |
Activities of daily living |
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| Anmerkungen: |
Date Completed 08.01.2024 Date Revised 23.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.apmr.2023.05.015 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM358315298 |
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| 245 | 1 | 0 | |a Accuracy of Sensor-Based Measurement of Clinically Relevant Motor Activities in Daily Life of Children With Mobility Impairments |
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| 500 | |a Date Completed 08.01.2024 | ||
| 500 | |a Date Revised 23.02.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a OBJECTIVE: This study aimed to determine the accuracy of 3 sensor configurations and corresponding algorithms deriving clinically relevant outcomes of everyday life motor activities in children undergoing rehabilitation. These outcomes were identified in 2 preceding studies assessing the needs of pediatric rehabilitation. The first algorithm estimates the duration of lying, sitting, and standing positions and the number of sit-to-stand transitions with data from a trunk and a thigh sensor. The second algorithm detects active and passive wheeling periods with data from a wrist and a wheelchair sensor. The third algorithm detects free and assisted walking periods and estimates the covered altitude change during stair climbing with data from a single ankle sensor and a sensor placed on walking aids | ||
| 520 | |a DESIGN: The participants performed a semi-structured activity circuit while wearing inertial sensors on both wrists, the sternum, and the thigh and shank of the less-affected side. The circuit included watching a movie, playing, cycling, drinking, and moving around between facilities. Video recordings, which 2 independent researchers labeled, served as reference criteria to determine the algorithms' performance | ||
| 520 | |a SETTING: In-patient rehabilitation center | ||
| 520 | |a PARTICIPANTS: Thirty-one children and adolescents with mobility impairments who were able to walk or use a manual wheelchair for household distances (N=31) | ||
| 520 | |a INTERVENTIONS: Not applicable | ||
| 520 | |a MAIN OUTCOME MEASURE(S): The algorithms' activity classification accuracies | ||
| 520 | |a RESULTS: The activity classification accuracy was 97% for the posture detection algorithm, 96% for the wheeling detection algorithm, and 93% for the walking detection algorithm | ||
| 520 | |a CONCLUSION(S): The 3 sensor configurations and corresponding algorithms presented in this study revealed accurate measurements of everyday life motor activities in children with mobility impairments. To follow-up on this promising results, the sensor systems needs to be tested in long-term measurements outside the clinic before using the system to determine the children's motor performance in their habitual environment for clinical and scientific purposes | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Activities of daily living | |
| 650 | 4 | |a Adolescent | |
| 650 | 4 | |a Child | |
| 650 | 4 | |a Motor disorders | |
| 650 | 4 | |a Rehabilitation | |
| 650 | 4 | |a Rehabilitation research | |
| 650 | 4 | |a Wearable electronic devices | |
| 700 | 1 | |a Jucker, Florence |e verfasserin |4 aut | |
| 700 | 1 | |a Labruyère, Rob |e verfasserin |4 aut | |
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