Actigraphy: Analyzing patient movement

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Abstract

Background: Actigraphic data during simulated participant movements were evaluated to differentiate among patient behavior states. Methods: Arm and leg actigraphic data were collected on 30 volunteers who simulated 3 behavioral states (calm, restless, agitated) for 10 minutes; counts of observed participant movements (head, torso, extremities) were documented. Results: The mean age of participants was 34.7 years, and 60% were female. Average movement was significantly different among the states (P < .0001; calm [mean = .48], restless [mean = 2.16], agitated [mean = 3.75]). Mean actigraphic measures were significantly different among states for both arm (P < .0001; calm [mean = 6.8], restless [mean = 28.5], agitated [mean = 52.6]) and leg (P < .0001; calm [mean = 3.5], restless [mean = 18.7], agitated [mean = 37.7]). Conclusion: Distinct levels of behavioral states were successfully simulated. Actigraphic data can provide an objective indicator of patient activity over a variety of behavioral states, and these data may offer a standard for comparison among these states. © 2011 Elsevier Inc.

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APA

Grap, M. J., Hamilton, V. A., McNallen, A., Ketchum, J. M., Best, A. M., Isti Arief, N. Y., & Wetzel, P. A. (2011). Actigraphy: Analyzing patient movement. Heart and Lung: Journal of Acute and Critical Care, 40(3). https://doi.org/10.1016/j.hrtlng.2009.12.013

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