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Objective profiling of varied human motion based on normative assessment of magnetometer time series data / Claire Barnes, Cain C T Clark, Paul Rees, Gareth Stratton, Huw Summers

Physiological Measurement, Volume: 39, Issue: 4, Start page: 045007

Swansea University Authors: Claire Barnes, Paul Rees, Gareth Stratton, Huw Summers

Abstract

Objective: To quantify varied human motion and obtain an objective assessment of relative performance across a cohort. Approach: A wrist-worn magnetometer was used to record and quantify the complex motion patterns of 55 children aged 10-12 years old, generated during a fundamental movement skills p...

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Published in: Physiological Measurement
ISSN: 1361-6579
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa39198
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spelling 2019-03-31T07:43:02.2167479 v2 39198 2018-03-26 Objective profiling of varied human motion based on normative assessment of magnetometer time series data 024232879fc13d5ceac584360af8742c 0000-0003-1031-7127 Claire Barnes Claire Barnes true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 2018-03-26 MEDE Objective: To quantify varied human motion and obtain an objective assessment of relative performance across a cohort. Approach: A wrist-worn magnetometer was used to record and quantify the complex motion patterns of 55 children aged 10-12 years old, generated during a fundamental movement skills programme. Sensor-based quantification of the physical activity used dynamic time warping of the magnetometer time series data for pairs of children. Pairwise comparison across the whole cohort produced a similarity matrix of all child to child correlations. Normative assessment scores were based on the Euclidean distance between n participants within an n-1 multi-variate space, created from multi-dimensional scaling of the similarity matrix. The sensor-based scores were compared to the current standardised assessment which involves binary scoring of technique, outcome and time components by trained assessors. Main Results: Visualisation of the relative performance using the first three axes of the multi-dimensional matrix, shows a 'performance sphere' in which children sit on concentric shells of increasing radius as performance deteriorates. Good agreement between standard and sensor scores is found, with Spearman rank correlation coefficients of the overall activity score in the range of 0.62-0.71 for different cohorts and a kappa statistic of 0.34 for categorisation of all 55 children into lower, middle, upper tertile and top 5% bands. Significance: By using multi-dimensional analysis of similarity measures between participants rather than direct parameterisation of the physiological data, complex and varied patterns of physical motion can be quantified, allowing objective and robust profiling of relative function across participant groups. Journal Article Physiological Measurement 39 4 045007 1361-6579 31 12 2018 2018-12-31 10.1088/1361-6579/aab9de COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2019-03-31T07:43:02.2167479 2018-03-26T09:55:01.2145817 Claire Barnes 0000-0003-1031-7127 1 Cain C T Clark 2 Paul Rees 0000-0002-7715-6914 3 Gareth Stratton 0000-0001-5618-0803 4 Huw Summers 0000-0002-0898-5612 5 0039198-27032018154355.pdf barnes2018v3.pdf 2018-03-27T15:43:55.1300000 Output 908799 application/pdf Accepted Manuscript true 2019-03-27T00:00:00.0000000 false eng
title Objective profiling of varied human motion based on normative assessment of magnetometer time series data
spellingShingle Objective profiling of varied human motion based on normative assessment of magnetometer time series data
Claire, Barnes
Paul, Rees
Gareth, Stratton
Huw, Summers
title_short Objective profiling of varied human motion based on normative assessment of magnetometer time series data
title_full Objective profiling of varied human motion based on normative assessment of magnetometer time series data
title_fullStr Objective profiling of varied human motion based on normative assessment of magnetometer time series data
title_full_unstemmed Objective profiling of varied human motion based on normative assessment of magnetometer time series data
title_sort Objective profiling of varied human motion based on normative assessment of magnetometer time series data
author_id_str_mv 024232879fc13d5ceac584360af8742c
537a2fe031a796a3bde99679ee8c24f5
6d62b2ed126961bed81a94a2beba8a01
a61c15e220837ebfa52648c143769427
author_id_fullname_str_mv 024232879fc13d5ceac584360af8742c_***_Claire, Barnes
537a2fe031a796a3bde99679ee8c24f5_***_Paul, Rees
6d62b2ed126961bed81a94a2beba8a01_***_Gareth, Stratton
a61c15e220837ebfa52648c143769427_***_Huw, Summers
author Claire, Barnes
Paul, Rees
Gareth, Stratton
Huw, Summers
author2 Claire Barnes
Cain C T Clark
Paul Rees
Gareth Stratton
Huw Summers
format Journal article
container_title Physiological Measurement
container_volume 39
container_issue 4
container_start_page 045007
publishDate 2018
institution Swansea University
issn 1361-6579
doi_str_mv 10.1088/1361-6579/aab9de
document_store_str 1
active_str 0
description Objective: To quantify varied human motion and obtain an objective assessment of relative performance across a cohort. Approach: A wrist-worn magnetometer was used to record and quantify the complex motion patterns of 55 children aged 10-12 years old, generated during a fundamental movement skills programme. Sensor-based quantification of the physical activity used dynamic time warping of the magnetometer time series data for pairs of children. Pairwise comparison across the whole cohort produced a similarity matrix of all child to child correlations. Normative assessment scores were based on the Euclidean distance between n participants within an n-1 multi-variate space, created from multi-dimensional scaling of the similarity matrix. The sensor-based scores were compared to the current standardised assessment which involves binary scoring of technique, outcome and time components by trained assessors. Main Results: Visualisation of the relative performance using the first three axes of the multi-dimensional matrix, shows a 'performance sphere' in which children sit on concentric shells of increasing radius as performance deteriorates. Good agreement between standard and sensor scores is found, with Spearman rank correlation coefficients of the overall activity score in the range of 0.62-0.71 for different cohorts and a kappa statistic of 0.34 for categorisation of all 55 children into lower, middle, upper tertile and top 5% bands. Significance: By using multi-dimensional analysis of similarity measures between participants rather than direct parameterisation of the physiological data, complex and varied patterns of physical motion can be quantified, allowing objective and robust profiling of relative function across participant groups.
published_date 2018-12-31T04:00:47Z
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