Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults

@inproceedings{Wullems2017PerformanceOT,
  title={Performance of thigh-mounted triaxial accelerometer algorithms in objective quantification of sedentary behaviour and physical activity in older adults},
  author={Jorgen A Wullems and Sabine M. P. Verschueren and Hans Degens and Christopher I Morse and Gladys L Onamb{\'e}l{\'e}},
  booktitle={PloS one},
  year={2017}
}
Accurate monitoring of sedentary behaviour and physical activity is key to investigate their exact role in healthy ageing. To date, accelerometers using cut-off point models are most preferred for this, however, machine learning seems a highly promising future alternative. Hence, the current study compared between cut-off point and machine learning algorithms, for optimal quantification of sedentary behaviour and physical activity intensities in the elderly. Thus, in a heterogeneous sample of… CONTINUE READING
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