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Validity of load rate estimation using accelerometers during physical activity on an anti-gravity treadmill

Validity of load rate estimation using accelerometers during physical activity on an anti-gravity treadmill
Validity of load rate estimation using accelerometers during physical activity on an anti-gravity treadmill
Introduction A simple tool to estimate loading on the lower limb joints outside a laboratory may be useful for people who suffer from degenerative joint disease. Here, the accelerometers on board of wearables (smartwatch, smartphone) were used to estimate load rate on the lower limbs and were compared to data from a treadmill force plate. The aim was to assess the validity of wearables to estimate load rate transmitted through the joints.

Methods Twelve healthy participants (female n=4, male n=8; aged 26 ± 3 years; height: 175 ± 15 cm; body mass: 71 ± 9 kg) carried wearables, while performing locomotive activities on an anti-gravity treadmill with an integrated force plate. Acceleration data from the wearables and force plate data were used to estimate load rate. The treadmill enabled 7,680 data points to be obtained, allowing a good estimate of uncertainty to be examined. A linear regression model and cross-validation with 1,000 bootstrap resamples were used to assess the validation.

Results Significant correlation was found between load rate from the force plate and wearables (smartphone: R2 = 0.71; smartwatch: R2 = 0.67).

Conclusion Wearables’ accelerometers can estimate load rate, and the good correlation with force plate data supports their use as a surrogate when assessing lower limb joint loading in field environments.
2055-6683
Nazirizadeh, Susan
01e17b52-1df2-4cfa-a22d-1722e8f99635
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
Arden, N.K.
43797db2-1a13-4ac5-9ac6-1dd3565cc4f2
Forrester, Alexander IJ
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Nazirizadeh, Susan
01e17b52-1df2-4cfa-a22d-1722e8f99635
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
Arden, N.K.
43797db2-1a13-4ac5-9ac6-1dd3565cc4f2
Forrester, Alexander IJ
176bf191-3fc2-46b4-80e0-9d9a0cd7a572

Nazirizadeh, Susan, Stokes, Maria, Arden, N.K. and Forrester, Alexander IJ (2020) Validity of load rate estimation using accelerometers during physical activity on an anti-gravity treadmill. Journal of Rehabilitation and Assistive Technologies Engineering (RATE).

Record type: Article

Abstract

Introduction A simple tool to estimate loading on the lower limb joints outside a laboratory may be useful for people who suffer from degenerative joint disease. Here, the accelerometers on board of wearables (smartwatch, smartphone) were used to estimate load rate on the lower limbs and were compared to data from a treadmill force plate. The aim was to assess the validity of wearables to estimate load rate transmitted through the joints.

Methods Twelve healthy participants (female n=4, male n=8; aged 26 ± 3 years; height: 175 ± 15 cm; body mass: 71 ± 9 kg) carried wearables, while performing locomotive activities on an anti-gravity treadmill with an integrated force plate. Acceleration data from the wearables and force plate data were used to estimate load rate. The treadmill enabled 7,680 data points to be obtained, allowing a good estimate of uncertainty to be examined. A linear regression model and cross-validation with 1,000 bootstrap resamples were used to assess the validation.

Results Significant correlation was found between load rate from the force plate and wearables (smartphone: R2 = 0.71; smartwatch: R2 = 0.67).

Conclusion Wearables’ accelerometers can estimate load rate, and the good correlation with force plate data supports their use as a surrogate when assessing lower limb joint loading in field environments.

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Validity of Load Rate Estimation using Accelerometers during Physical Activity on an Anti-Gravity Treadmill - Accepted Manuscript
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Accepted/In Press date: 9 January 2020
Published date: 9 January 2020

Identifiers

Local EPrints ID: 441380
URI: http://eprints.soton.ac.uk/id/eprint/441380
ISSN: 2055-6683
PURE UUID: bf5438b5-20c5-4963-a3d3-bacc539611df
ORCID for Maria Stokes: ORCID iD orcid.org/0000-0002-4204-0890

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Date deposited: 11 Jun 2020 16:30
Last modified: 17 Mar 2024 02:56

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Contributors

Author: Susan Nazirizadeh
Author: Maria Stokes ORCID iD
Author: N.K. Arden

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