Actigraphy: analyzing patient movement.

Heart Lung

Adult Health and Nursing Systems Department, School of Nursing, Virginia Commonwealth University, Richmond, Virginia 23219, USA.

Published: September 2011

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690586PMC
http://dx.doi.org/10.1016/j.hrtlng.2009.12.013DOI Listing

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