The University of Southampton
University of Southampton Institutional Repository

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
Nazirizadeh, Susan
01e17b52-1df2-4cfa-a22d-1722e8f99635
Stokes, Maria
71730503-70ce-4e67-b7ea-a3e54579717f
Arden, N.K.
43797db2-1a13-4ac5-9ac6-1dd3565cc4f2

Nazirizadeh, Susan, Stokes, Maria and Arden, N.K. (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.

Text
Validity of Load Rate Estimation using Accelerometers during Physical Activity on an Anti-Gravity Treadmill - Accepted Manuscript
Download (294kB)

More information

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

Catalogue record

Date deposited: 11 Jun 2020 16:30
Last modified: 29 Jul 2020 01:35

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×