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  5. Quantifying Y Balance Test performance with multiple and single inertial sensors
 
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Quantifying Y Balance Test performance with multiple and single inertial sensors

Author(s)
Johnston, William  
Davenport, James  
Connelly, Rachelle  
Caulfield, Brian  
Uri
http://hdl.handle.net/10197/25360
Date Issued
2020-07-24
Date Available
2024-01-31T16:44:36Z
Abstract
A growing body of evidence has highlighted that inertial sensor data can increase the sensitivity and clinical utility of the Y Balance Test, a commonly used clinical dynamic balance assessment. While early work has demonstrated the value of a single lumbar worn inertial sensor in quantifying dynamic balance control, no research has investigated if alternative (shank) or combined (lumbar and shank) sensor mounting locations may improve the assessments discriminant capabilities. Determining the optimal sensor set-up is crucial to ensuring minimal cost and maximal utility for clinical users The aim of this cross-sectional study was to investigate if single or multiple inertial sensors, mounted on the lumbar spine and/or shank could differentiate young (18-40 years [n = 41]) and middle-aged (40-65 years [n = 42]) adults, based on dynamic balance performance. Random-forest classification highlighted that a single lumbar sensor could classify age-related differences in performance with an accuracy of 79% (sensitivity = 81%; specificity = 78%). The amalgamation of shank and lumbar data did not significantly improve the classification performance (accuracy = 73-77%; sensitivity = 71-76%; specificity = 73-78%). Jerk magnitude root-mean-square consistently demonstrated predictor importance across the three reach directions: posteromedial (rank 1), anterior (rank 3) and posterolateral (rank 6).
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2020 IEEE
Subjects

Personal sensing

Sensors

Legged locomotion

Predictive models

Spine

DOI
10.1109/EMBC44109.2020.9176416
Web versions
https://embc.embs.org/2020/
Language
English
Status of Item
Peer reviewed
Journal
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Conference Details
The 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, Montreal, Canada (held online due to coronavirus outbreak), 20 - 24 July 2020
ISBN
978-1-7281-1990-8
ISSN
2694-0604
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Quantifying Y Balance Test performance with single and multiple inertial sensors Final Submission.pdf

Size

415.56 KB

Format

Adobe PDF

Checksum (MD5)

b2e4f6f7c2f59c5cb21930040e126417

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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