12 Matching Annotations
  1. Last 7 days
    1. cut-points anddetermined that 150 cpm

      Preferir 150 cpm para det. cut-point

    2. Waking Hours Versus 24 Hours

      Preferir 24hrs vs tiempo despierto

    3. 60- or 90-min algorithms (33 and 34 out of 34 participants, i.e., 3and 0% sample loss, respectively)

      Preferir 60/90min de 0 counts per minute para determinar Non Wear Time. Falta determinar si es con o sin allowance de pequeños movimientos por max 2 min

    4. No information about the influence of epoch length was found for adults.

      Sin información, se deberá analizar.

    5. Lyden et al. [51] found the normal filter more accurate compared to theLFE filter when it was used to identify SED and breaks in SED with the GT3X attached tothe hip against direct observation. Ried-Larsen et al. [52] and Cain et al. [53] observed lessSED and more minutes in each PA intensity with the LFE filter enabled

      Utilizar filtro normal, no LFE

    6. The number of days needed for an ICC of 0.80decreased with a more demanding wear-time criterion [from 8.3 to 6.4 days for SED, from4.4 to 3.7 days for light PA, and from 8.5 to 7.0 days for moderate-to-vigorous PA (MVPA),all adjusted for wear-time].

      Mínimo tiempo de uso 12hr al día por 8.5 días.

    7. led to a decrease in sample size and therefore the study’spower.

      Mientras más sensible es el filtro de actividad, menos horas de actividad son registradas, por lo que hay menos datos y disminuye el poder del estudio. Se deben establecer márgenes extra.

    8. observed that 30, 60, or 90 Hz

      Preferir múltiplos de 30Hz para sampleo

    9. With regard to step counting

      Cadera mejor para conteo de pasos

    10. 3.1.3 Adults—

      En cadera: mejor determinación de activity counts, energy expenditure, etc. (mejor para datos) En muñeca: mejor determinación de actividades (i.e. diferencias entre estar sentado, parado, caminando, en el auto, etc.).

    11. he amount and intensity of daily SED and PA may be obtained byclassifying activity counts accumulated in a specific time interval (epoch length) with a setof cut-points, i.e., intensity thresholds for PA intensity classification

      Definición epoch y cut-points (threshold)

    12. The signal is usuallyfiltered and pre-processed by the monitor to obtain activity counts, i.e., accelerations due tobody movement

      Definición de counts

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