Thigh-Derived Inertial Sensor Metrics to Assess the Sit-to-Stand and Stand-to-Sit Transitions in the Timed Up and Go (TUG) Task for Quantifying Mobility Impairment in Multiple Sclerosis
- Submitting institution
-
Staffordshire University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4748
- Type
- D - Journal article
- DOI
-
10.3389/fneur.2018.00684
- Title of journal
- Frontiers in Neurology
- Article number
- 684
- First page
- -
- Volume
- 9
- Issue
- -
- ISSN
- 1664-2295
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
https://www.frontiersin.org/articles/10.3389/fneur.2018.00684/full
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
13
- Research group(s)
-
A - Centre for Biomechanics and Rehabilitation Technologies (CBRT)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper demonstrated that body mounted inertial sensors can be used to discriminate between healthy subjects and those with multiple sclerosis providing the potential for a low-cost diagnosis. The research resulted from an international collaboration between academia, clinical research, and industry with Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; ASTRUM IT GmbH (info@astrum-it.de); Universitätsklinikum Erlangen, Germany; and Hurstwood Park Neuroscience Centre, UK. This work formed the basis for a large ongoing collaboration with Brighton and Sussex Medical School to develop and evaluate the impact of using inertial sensors to better predict fall risk in high-risk patients.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -