Powerful actigraphy data through functional representation

This is a preview of subscription content, access via your institution.

Further Reading

  1. Allen, R.P., A.S. Walters, J. Montplaisir, W. Hening, A. Myers, T.J. Bell, and L. Ferini-Strambi. 2005. Restless legs syndrome prevalence and impact: REST general population study. Archives of Internal Medicine 165(11):1286–1292.

    Article  Google Scholar 

  2. Ancoli-Israel, S., R. Cole, C. Alessi, M. Chambers, W. Moorcroft, and C.P. Pollak C.P. 2003. The role of actigraphy in the study of sleep and circadian rhythms. Sleep 26(3):342–392.

    Google Scholar 

  3. Ancoli-Israel, S., L. Liu, M.R. Marler, B.A. Parker, V. Jones, G.R. Sadler, J. Dimsdale, M. Cohen-Zion, and L. Fiorentina. 2006. Fatigue, sleep, and circadian rhythms prior to chemotherapy for breast cancer. Support Care Cancer 14(3):201–209.

    Article  Google Scholar 

  4. Boero, J., S. Duntley, D. Clifford, J. Ding, and W.D. Shannon. 2009. Actigraphy and functional data analysis for objective measurement of fatigue: A case study in HIV/AIDS. In 2009 JSM Proceedings, Section on Nonparametric Statistics. Alexandria, VA: American Statistical Association (CD-ROM).

    Google Scholar 

  5. Caffo, B., B. Swihart, C. Crainiceanu, A. Laffan, and N. Punjabi. 2009. An overview of observational sleep research with application to sleep stage transitioning. CHANCE 22(1):10–15.

    MathSciNet  Article  Google Scholar 

  6. Cleveland, W.S., and S.J. Devlin. 1988. Locally-weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association 83(403):596–610.

    Article  Google Scholar 

  7. De Souza, L., A.A. Benedito-Silva, M.L.N. Pires, D. Poyares, S. Tufik, and H.M. Calil. 2003. Further validation of actigraphy for sleep studies. Sleep 26(1):81–85.

    Google Scholar 

  8. Kroenke, K., and R.L. Spitzer. 2002. The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals 32(9):509–515.

    Google Scholar 

  9. Marler, M.R., P. Gehrman, J.L. Martin, and S. Ancoli-Israel. 2006. The sigmoidally transformed cosine curve: A mathematical model for circadian rhythms with symmetric non-sinusoidal shapes. Statistics in Medicine 25(22):3893–3904.

    MathSciNet  Article  Google Scholar 

  10. Morgenthaler, T., C. Alessi, L. Friedman, J. Owens, V. Kapur, B. Boehlecke, T. Brown, A. Chesson, J. Coleman, T. Lee-Chiong, J. Pancer, and T.J. Swick. 2007. Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: An update for 2007. Sleep 30(4):519–529.

    Google Scholar 

  11. National Commission on Sleep Disorders Research. 1993. Wake up America: A national sleep alert, executive summary and executive report.

  12. Peppard, P.E., T. Young, M. Palta, and J. Skatrud. 2000. Prospective study of the association between sleepdisordered breathing and hypertension. New England Journal of Medicine 342(19):1378–1384.

    Article  Google Scholar 

  13. Peker, Y., J. Carlson, and J. Hedner. 2006. Increased incidence of coronary artery disease in sleep apnoea: a long-term follow-up. European Respiratory Journal 28(3):596–602.

    Article  Google Scholar 

  14. R Development Core Team. 2010. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, www.R-project.org.

  15. Ramsay, J.O., and B.W. Silverman. 2005. Functional data analysis (second edition). New York: Springer.

    Google Scholar 

  16. Ramsay, J.O., H. Wickham, S. Graves, and G. Hooker. 2010. FDA: Functional data analysis. R package version 2.2.5, http://CRAN.R-project.org/package=fda

  17. Rice, J.A. 2004. Functional and longitudinal data analysis: Perspectives on smoothing. Statistica Sinica 14(3):631–647.

    MathSciNet  MATH  Google Scholar 

  18. Sharif, A., J. Symanzik, and W.D. Shannon. 2010. An object-oriented approach in R for the visualization of functional actigraphy data. Computing Science and Statistics (in press).

  19. Slaven, J.E., M.E. Andrew, A. Mnatsakanova, J.M. Violanti, C.M. Burchfiel, and B.J. Vila. 2009. Statistical modeling of sleep. CHANCE 22(1):16–21.

    MathSciNet  Article  Google Scholar 

  20. Solberg, L.I. 1984. Lassitude: A primary care evaluation. Journal of the American Medical Association 251(24):3272–3276.

    Article  Google Scholar 

  21. Symanzik, J., and W. Shannon. 2008. Exploratory graphics for functional actigraphy data. In 2008 JSM Proceedings, WNAR. Alexandria, VA: American Statistical Association (CD-ROM).

    Google Scholar 

  22. Walsh, J.K., and C.L. Engelhardt. 1999. The direct economic cost of insomnia in the United States for 1995. Sleep 22(2):386–393.

    Google Scholar 

  23. Yaggi, H.K., J. Concato, W.N. Kernan, J.H. Lictman, L.M. Brass, and V. Mohsenin. 2005. Obstructive sleep apnea as a risk factor for stroke and death. New England Journal of Medicine 353(19):2034–2041.

    Article  Google Scholar 

  24. Young, T., Palta, M., Dempsey, J., Skatrud, J., Weber, S. and Badr, S. (1993). The occurrence of sleepdisordered breathing among middleaged adults. New England Journal of Medicine 328(17):1230–1235.

    Article  Google Scholar 

  25. Young, T., P.E. Peppard, and D.J. Gottlieb. 2002. Epidemiology of obstructive sleep apnea: A population health perspective. American Journal of Respiratory and Critical Care Medicine 165(9):1217–1239.

    Article  Google Scholar 

  26. Young, T., L. Finn, P.E. Peppard, M. Szklo-Coxe, D. Austin, J. Nieto, R. Stubbs, and K.M. Hla. 2008. Sleep disordered breathing and mortality: Eighteen-year follow-up of the Wisconsin sleep cohort. Sleep 31(8):1071–1078.

    Google Scholar 

Download references

Authors

About this article

Cite this article

Ding, J., Symanzik, J., Sharif, A. et al. Powerful actigraphy data through functional representation. CHANCE 24, 30 (2011). https://doi.org/10.1007/s00144-011-0027-4

Download citation