4.3 Article

Validation of the use of Actigraph GT3X accelerometers to estimate energy expenditure in full time manual wheelchair users with spinal cord injury

期刊

SPINAL CORD
卷 51, 期 12, 页码 898-903

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/sc.2013.85

关键词

paraplegia; physical activity; signal processing; accelerometer; evaluation methodology

资金

  1. Ministerio de Economia y Competitividad [MTM2012-36740-c02-02]
  2. Generalitat Valenciana

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Study design: Cross-sectional validation study. Objectives: The goals of this study were to validate the use of accelerometers by means of multiple linear models (MLMs) to estimate the O-2 consumption (VO2) in paraplegic persons and to determine the best placement for accelerometers on the human body. Setting: Non-hospitalized paraplegics' community. Methods: Twenty participants (age = 40.03 years, weight = 75.8 kg and height = 1.76 m) completed sedentary, propulsion and housework activities for 10 min each. A portable gas analyzer was used to record VO2. Additionally, four accelerometers (placed on the non-dominant chest, non-dominant waist and both wrists) were used to collect second-by-second acceleration signals. Minute-by-minute VO2 (ml kg(-1) min(-1)) collected from minutes 4 to 7 was used as the dependent variable. Thirty-six features extracted from the acceleration signals were used as independent variables. These variables were, for each axis including the resultant vector, the percentiles 10th, 25th, 50th, 75th and 90th; the autocorrelation with lag of 1 s and three variables extracted from wavelet analysis. The independent variables that were determined to be statistically significant using the forward stepwise method were subsequently analyzed using MLMs. Results: The model obtained for the non-dominant wrist was the most accurate (VO2 = 4.0558 - 0.0318Y(25) + 0.0107Y(90) + 0.0051Y(ND2) - 0.0061Z(ND2) + 0.0357VR(50)) with an r-value of 0.86 and a root mean square error of 2.23 ml kg(-1) min(-1). Conclusions: The use of MLMs is appropriate to estimate VO2 by accelerometer data in paraplegic persons. The model obtained to the non-dominant wrist accelerometer (best placement) data improves the previous models for this population.

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