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Comparison Between Fatigue, Sleep Disturbance, and Circadian Rhythm in Cancer Inpatients and Healthy Volunteers: Evaluation of Diagnostic Criteria for Cancer-Related Fatigue Roland Fernandes, BSc, Patrick Stone, MA, MD, MRCP, Paul Andrews, BSc, PhD, Rachael Morgan, BSc, Shanika Sharma, BSc Journal of Pain and Symptom Management Volume 32, Issue 3, Pages (September 2006) DOI: /j.jpainsymman Copyright © 2006 U.S. Cancer Pain Relief Committee Terms and Conditions
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Fig. 1 Linear actigrams display quantity of activity against time on a histogram. The x-axis reflects the time (with midnight at the center) and the y-axis reflects the activity counts per epoch. The height of each black bar is proportional to movement intensity. Epochs scored as sleep by the actimeters are shown with thickened lines on the x-axis. Down periods obtained from data from sleep diaries can be programmed onto the actigram and are shown in the figure as highlighted gray boxes. The autocorrelation coefficient plot reflects the correlation between activity at any particular time with activity levels at different time lags. The correlation coefficient is displayed on the y-axis and can vary between –1.0 and The different time lags are shown on the x-axis. Subjects with a good circadian rhythm would be expected to have a sinusoidal plot with a maximum autocorrelation coefficient occurring at 24-hours time lag. Journal of Pain and Symptom Management , DOI: ( /j.jpainsymman ) Copyright © 2006 U.S. Cancer Pain Relief Committee Terms and Conditions
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