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Detection of lying down, sitting, standing, and stepping using two activPAL monitors. | LitMetric

Detection of lying down, sitting, standing, and stepping using two activPAL monitors.

Med Sci Sports Exerc

1Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN; and 2Department of Health Sciences, Northeastern University, Boston, MA.

Published: October 2014

AI Article Synopsis

  • The activPAL is a thigh-worn accelerometer that tracks activities as sitting/lying, standing, or stepping but struggles to differentiate between sitting and lying down.
  • This study explored adding a second activPAL on the torso to help distinguish between seated and lying postures.
  • Results showed that using two activPAL monitors significantly improved accuracy in classifying lying down, sitting, standing, and stepping behaviors.

Article Abstract

Unlabelled: The activPAL is an accelerometer-based monitor worn on the thigh that classifies daily activities into three categories (sitting/lying down, standing, and stepping). The monitor discriminates between sitting/lying and the upright position by detecting the inclination of the thigh. It detects stepping from the acceleration versus time wave form. However, a current limitation of the activPAL is that it does not discriminate between sitting and lying down.

Purpose: This study aimed to determine whether placing a second activPAL monitor on the torso would allow the detection of seated versus lying postures.

Methods: Fifteen healthy adults (18-55 yr of age) wore an activPAL on the right thigh and another activPAL over the right rib cage. Both monitors were synchronized and initialized to record data in 15-s epochs. Participants performed a semistructured routine of activities for 3 min each. Activities included lying down (while supine, prone, and on the side), sitting, standing, sweeping, treadmill walking at 3 mph, and treadmill running at 6 mph. The spatial orientation of the thigh and chest monitors was used to determine body posture, and the activPAL on the thigh was used to detect ambulation.

Results: The use of two activPAL devices enabled four behaviors to be accurately classified. The percentages of observations that were classified accurately were as follows: lying down (100%), sitting (100%), standing/light activity in the upright position (90.8%), and stepping (100%).

Conclusions: The current method allows researchers to obtain more detailed information on postural allocation compared with that in the use of a single activPAL on the thigh.

Download full-text PDF

Source
http://dx.doi.org/10.1249/MSS.0000000000000326DOI Listing

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