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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.
Witchel, Harry J; Oberndorfer, Cäcilia; Needham, Robert; Healy, Aoife; Westling, Carina E I; Guppy, Joseph H; Bush, Jake; Barth, Jens; Herberz, Chantal; Roggen, Daniel; Eskofier, Björn M; Rashid, Waqar; Chockalingam, Nachiappan; Klucken, Jochen.
Afiliación
  • Witchel HJ; Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.
  • Oberndorfer C; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Needham R; Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom.
  • Healy A; Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom.
  • Westling CEI; School of Media, Film and Music, University of Sussex, Brighton, United Kingdom.
  • Guppy JH; Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.
  • Bush J; Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom.
  • Barth J; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Herberz C; ASTRUM IT, GmbH, Erlangen, Germany.
  • Roggen D; Department of Engineering and Design, University of Sussex, Brighton, United Kingdom.
  • Eskofier BM; Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Rashid W; Hurstwood Park Neuroscience Centre, Haywards Heath, United Kingdom.
  • Chockalingam N; Centre for Biomechanics and Rehabilitation Technologies, Staffordshire University, Stoke-on-Trent, United Kingdom.
  • Klucken J; Molekulare Neurologie, Universitätsklinikum Erlangen, Erlangen, Germany.
Front Neurol ; 9: 684, 2018.
Article en En | MEDLINE | ID: mdl-30271371
ABSTRACT

Introduction:

Inertial sensors generate objective and sensitive metrics of movement disability that may indicate fall risk in many clinical conditions including multiple sclerosis (MS). The Timed-Up-And-Go (TUG) task is used to assess patient mobility because it incorporates clinically-relevant submovements during standing. Most sensor-based TUG research has focused on the placement of sensors at the spine, hip or ankles; an examination of thigh activity in TUG in multiple sclerosis is wanting.

Methods:

We used validated sensors (x-IMU by x-io) to derive transparent metrics for the sit-to-stand (SI-ST) transition and the stand-to-sit (ST-SI) transition of TUG, and compared effect sizes for metrics from inertial sensors on the thighs to effect sizes for metrics from a sensor placed at the L3 level of the lumbar spine. Twenty-three healthy volunteers were compared to 17 ambulatory persons with MS (PwMS, HAI ≤ 2).

Results:

During the SI-ST transition, the metric with the largest effect size comparing healthy volunteers to PwMS was the Area Under the Curve of the thigh angular velocity in the pitch direction-representing both thigh and knee extension; the peak of the spine pitch angular velocity during SI-ST also had a large effect size, as did some temporal measures of duration of SI-ST, although less so. During the ST-SI transition the metric with the largest effect size in PwMS was the peak of the spine angular velocity curve in the roll direction. A regression was performed.

Discussion:

We propose for PwMS that the diminished peak angular velocity during SI-ST directly represents extensor weakness, while the increased roll during ST-SI represents diminished postural control.

Conclusions:

During the SI-ST transition of TUG, angular velocities can discriminate between healthy volunteers and ambulatory PwMS better than temporal features. Sensor placement on the thighs provides additional discrimination compared to sensor placement at the lumbar spine.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neurol Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Neurol Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido
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