Differentiating Sitting and Lying Using a Thigh-Worn Accelerometer.

A triaxial accelerometer worn on the thigh can provide information on the angle of rotation of the thigh. These data may be used to estimate periods of lying versus sitting. Purpose: To develop and test a classification algorithm to identify sedentary events as either lying or sitting events using a...

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Publicado en:Medicine & Science in Sports & Exercise Vol. 48; no. 4; pp. 742 - 748
Autores principales: LYDEN, KATE, JOHN, DINESH, DALL, PHILIPPA, GRANAT, MALCOLM H.
Formato: pictorial research tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins Apr2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2016
      vid: 48
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Differentiating Sitting and Lying Using a Thigh-Worn Accelerometer.
      aug:
        au:
          LYDEN, KATE
          JOHN, DINESH
          DALL, PHILIPPA
          GRANAT, MALCOLM H.
        affil: Division of Endocrinology, Metabolism, and Diabetes, University of Colorado, Anschutz Medical Campus, Aurora, CO
      sug:
        subj:
          Sitting Evaluation
          Polysomnography
          Sedentary Behavior Evaluation
          Accelerometry Methods
          Human
          Thigh
          Accelerometers Utilization
          Self Report
      ab: A triaxial accelerometer worn on the thigh can provide information on the angle of rotation of the thigh. These data may be used to estimate periods of lying versus sitting. Purpose: To develop and test a classification algorithm to identify sedentary events as either lying or sitting events using a thigh-worn, triaxial accelerometer. Methods: Seven-day free-living activity from 14 sedentary workers was recorded using the activPAL™ monitor. Participants recorded when they went to bed and when they got up in a diary. All "in-bed" sedentary events were assumed to be lying and all "not-in-bed" sedentary events as sitting. An algorithm computed the angle of rotation of they-axis, which was used to detect orientation of the thigh. Crossing a rotational threshold in the transverse plane of ±65- was used to classify a sedentary event as lying. The classification accuracy of the algorithm was compared with self-reported classification from the diary. Results: The algorithm classified 96.7% of the sedentary time ''in bed'' (sensitivity) as lying and 92.9% of the time ''not in bed'' as not lying (specificity). Conclusions: Triaxial accelerometer data recorded from a single site on the thigh can be used to classify sedentary events as sitting and lying. The automated method developed in this study will allow objective measurement of diurnal lying time and that while sleeping without relying on self-report. This will help advance the understanding of the impact of different types of sedentary behaviors on various health outcomes.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
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      ougenre: Article
    language: English
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