Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor

10.1177/2055668319868544

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Main Authors: Argent, Rob, Drummond, Sean, Remus, Alexandria, O'Reilly, Martin, Caulfield, Brian
Other Authors: BIOMEDICAL ENGINEERING
Format: Article
Language:English
Published: SAGE PUBLICATIONS INC 2023
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/239360
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2393602024-04-15T12:24:26Z Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor Argent, Rob Drummond, Sean Remus, Alexandria O'Reilly, Martin Caulfield, Brian BIOMEDICAL ENGINEERING Science & Technology Technology Engineering, Biomedical Engineering Joint angle wearable sensor range of motion inertial measurement unit biomechanics machine learning neural networks ABSOLUTE ERROR MAE UNIVERSAL GONIOMETER KNEE RANGE RELIABILITY MOTION VALIDITY RMSE 10.1177/2055668319868544 JOURNAL OF REHABILITATION AND ASSISTIVE TECHNOLOGIES ENGINEERING 6 2023-05-12T07:25:39Z 2023-05-12T07:25:39Z 2019-08 2023-05-12T06:10:58Z Article Argent, Rob, Drummond, Sean, Remus, Alexandria, O'Reilly, Martin, Caulfield, Brian (2019-08). Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor. JOURNAL OF REHABILITATION AND ASSISTIVE TECHNOLOGIES ENGINEERING 6. ScholarBank@NUS Repository. https://doi.org/10.1177/2055668319868544 2055-6683 https://scholarbank.nus.edu.sg/handle/10635/239360 en SAGE PUBLICATIONS INC Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic Science & Technology
Technology
Engineering, Biomedical
Engineering
Joint angle
wearable sensor
range of motion
inertial measurement unit
biomechanics
machine learning
neural networks
ABSOLUTE ERROR MAE
UNIVERSAL GONIOMETER
KNEE RANGE
RELIABILITY
MOTION
VALIDITY
RMSE
spellingShingle Science & Technology
Technology
Engineering, Biomedical
Engineering
Joint angle
wearable sensor
range of motion
inertial measurement unit
biomechanics
machine learning
neural networks
ABSOLUTE ERROR MAE
UNIVERSAL GONIOMETER
KNEE RANGE
RELIABILITY
MOTION
VALIDITY
RMSE
Argent, Rob
Drummond, Sean
Remus, Alexandria
O'Reilly, Martin
Caulfield, Brian
Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
description 10.1177/2055668319868544
author2 BIOMEDICAL ENGINEERING
author_facet BIOMEDICAL ENGINEERING
Argent, Rob
Drummond, Sean
Remus, Alexandria
O'Reilly, Martin
Caulfield, Brian
format Article
author Argent, Rob
Drummond, Sean
Remus, Alexandria
O'Reilly, Martin
Caulfield, Brian
author_sort Argent, Rob
title Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
title_short Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
title_full Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
title_fullStr Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
title_full_unstemmed Evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
title_sort evaluating the use of machine learning in the assessment of joint angle using a single inertial sensor
publisher SAGE PUBLICATIONS INC
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/239360
_version_ 1800915837735927808