PM2: A Partitioning-Mining-Measuring Method for Identifying Progressive Changes in Older Adults’ Sleeping Activity

Lin, Qiang; Zhang, Daqing; Connelly, Kay; Zhou, Xingshe; Ni, Hongbo

doi:https://doi.org/10.1260/2040-2295.5.2.205

Journal of Healthcare Engineering

On this page

Abstract References Copyright Related Articles

Research Article | Open Access

Volume 5 | Article ID 326984 | https://doi.org/10.1260/2040-2295.5.2.205

PM2: A Partitioning-Mining-Measuring Method for Identifying Progressive Changes in Older Adults’ Sleeping Activity

Qiang Lin,¹Daqing Zhang,^1,2Kay Connelly,³Xingshe Zhou,¹and Hongbo Ni¹

Received01 Sept 2013

Accepted01 Feb 2014

Abstract

As people age, their health typically declines, resulting in difficulty in performing daily activities. Sleep-related problems are common issues with older adults, including shifts in circadian rhythms. A detection method is proposed to identify progressive changes in sleeping activity using a three-step process: partitioning, mining, and measuring. Specifically, the original spatiotemporal representation of each sleeping activity instance was first transformed into a sequence of equal-sized segments, or symbols, via a partitioning process. A data-mining-based algorithm was proposed to find symbols that are not present in all instances of a sleeping activity. Finally, a measuring process was responsible for evaluating the changes in these symbols. Experimental evaluation conducted on a group of datasets of older adults showed that the proposed method is able to identify progressive changes in sleeping activity.

References

UNFPA, “State of world population 2011,” Accessed August 20, 2013, Available from http://foweb.unfpa.org/SWP2011/reports/EN-SWOP2011-FINAL.pdf.
View at: Google Scholar
S. Ancoli-Israel and T. Roth, “Characteristics of insomnia in the United States: results of the 1991 National Sleep Foundation Survey 1,” Sleep, vol. 22, suppl 2, pp. S347–S353, 1999.
View at: Google Scholar
J. Townsend-Roccichelli, J. T. Sanford, and E. VandeWaa, “Managing sleep disorders in the elderly,” The Nurse Practitioner, vol. 35, no. 5, pp. 30–37, 2010.
View at: Google Scholar
W. V. McCall, “Sleep in the Elderly: Burden, Diagnosis, and Treatment,” Prim Care Companion J Clin Psychiatry, vol. 6, no. 1, pp. 9–20, 2004.
View at: Google Scholar
D. J. Foley, A. A. Monjan, S. L. Brown, E. M. Simonsick, R. B. Wallace, and D. G. Blazer, “Sleep complaints among elderly persons: an epidemiologic study of three communities,” Sleep, vol. 18, no. 6, pp. 425–432, 1995.
View at: Google Scholar
Accessed December 22, 2013 http://sleephealthfoundation.org.au/pdfs/Ageing%20and%20Sleep.pdf.
H. L. Roth, “Dementia and sleep,” Neurol Clin, vol. 30, no. 4, pp. 1213–1248, 2012.
View at: Google Scholar
S. M. McCurry, L. E. Gibbons, R. G. Logsdon, M. V. Vitiello, and L. Teri, “Nighttime insomnia treatment and education for Alzheimers disease: a randomized, controlled trial,” J Am Geriatr Soc, vol. 53, no. 5, pp. 793–802, 2005.
View at: Google Scholar
S. M. McCurry, L. E. Gibbons, R. G. Logsdon, M. V. Vitiello, and L. Teri, “Training caregivers to change the sleep hygiene practice of patients with dementia: the NITE-AD Project,” J Am Geriatr Soc, vol. 51, no. 10, pp. 1455–1460, 2003.
View at: Google Scholar
Accessed December 22, 2013 http://www.sleepfoundation.org/article/sleep-topics/parkinsons-disease-and-sleep.
D. J. Buysse, C. F. Reynolds 3rd, T. H. Monk, S. R. Berman, and D. J. Kupfer, “The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research,” Psychiatry Res, vol. 28, no. 2, pp. 193–213, 1989.
View at: Google Scholar
C. Morin, Insomnia: Psychological Assessment and Management, The Guilford Press, New York, 1993.
M. W. Johns, “A new method for measuring daytime sleepiness: the Epworth sleepiness scale,” Sleep, vol. 14, no. 6, pp. 540–545, 1991.
View at: Google Scholar
M. Roland and R. Morris, “A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain,” Spine, vol. 8, no. 2, pp. 141–144, 1983.
View at: Google Scholar
S. Smith and J. Trinder, “Detecting insomnia: comparison of four self-report measures of sleep in a young adult population,” J Sleep Res, vol. 10, no. 3, pp. 229–235, 2001.
View at: Google Scholar
M. J. Sateia, K. Doghramji, P. J. Hauri, and C. M. Morin, “Evaluation of chronic insomnia - An American Academy of Sleep Medicine review,” Sleep, vol. 23, no. 2, pp. 243–248, 2002.
View at: Google Scholar
B. Sivertsen, S. Omvik, O. E. Havik et al., “A comparison of actigraphy and polysomnography in older adults treated for chronic primary insomnia,” Sleep, vol. 29, no. 10, pp. 1353–1358, 2006.
View at: Google Scholar
J. M. Kelly, R. E. Strecker, and M. T. Bianchi, “Recent Developments in Home Sleep-Monitoring Devices,” ISRN Neurology, vol. 2012, 2012, http://dx.doi.org/10.5402/2012/768794.
View at: Google Scholar
P. S. Low, S. S. Shank, T. J. Sejnowski, and D. Margoliash, “Mammalian-like features of sleep structure in zebra finches,” Proc Natl Acad Sci USA, vol. 105, no. 26, pp. 9081–9086, 2008.
View at: Google Scholar
J. R. Shambroom, S. E. Fabregas, and J. Johnstone, “Validation of an automated wireless system to monitor sleep in healthy adults,” J. Sleep Res, vol. 21, no. 2, pp. 221–230, 2012.
View at: Google Scholar
W. Karlen, C. Mattiussi, and D. Floreano, “Sleep and wake classification with ECG and respiratory effort signals,” IEEE Transactions on Biomedical Circuits and Systems, vol. 3, no. 2, pp. 71–78, 2009.
View at: Google Scholar
R. J. Thomas, J. E. Mietus, C. K. Peng, and A. L. Goldberger, “An electrocardiogram-based technique to assess cardiopulmonary coupling during sleep,” Sleep, vol. 28, no. 9, pp. 1151–1161, 2005.
View at: Google Scholar
Accessed December 22, 2013 http://www.sleeptracker.com/products/.
Accessed December 22, 2013 http://www.engadget.com/2010/12/21/wakemate-review/.
M. Di Rienzo, F. Rizzo, G. Parati, G. Brambilla, M. Ferratini, and P. Castiglioni, “MagIC System: a new textile-based wearable device for biological signal monitoring. Applicability in daily life and clinical setting,” in Conf Proc IEEE Eng Med Biol Soc, vol. 7, pp. 7167–7169, 2005.
View at: Google Scholar
U. Anliker, J. A. Ward, P. Lukowicz et al., “AMON: a wearable multiparameter medical monitoring and alert system,” IEEE Transactions on Information Technology in Biomedicine, vol. 8, no. 4, pp. 415–427, 2004.
View at: Google Scholar
T. Watanabe and K. Watanabe, “Noncontact method for sleep stage estimation,” IEEE Transactions on Biomedical Engineering, vol. 5, no. 10, pp. 1735–1748, 2004.
View at: Google Scholar
M. Migliorini, A. M. Bianchi, D. Nisticò et al., “Automatic sleep staging based on ballistocardiographic signals recorded through bed sensors,” in Conf Proc IEEE Eng Med Biol Soc 2010, pp. 3273–3276, 2010.
View at: Google Scholar
M. T. Tuomisto, T. Terho, I. Korhonen et al., “Diurnal and weekly rhythms of health-related variables in home recordings for two months,” Physiology and Behavior, vol. 87, no. 4, pp. 650–658, 2006.
View at: Google Scholar
S. Devot, A. M. Bianchi, E. Naujokat, M. O. Mendez, A. Braurs, and S. Cerutti, “Sleep monitoring through a textile recording system,” in Conf Proc IEEE Eng Med Biol Soc 2007, pp. 2560–2563, 2007.
View at: Google Scholar
P. De Chazal, N. Fox, E. O'Hare et al., “Sleep/wake measurement using a non-contact biomotion sensor,” J. Sleep Res, vol. 20, no. 2, pp. 356–366, 2011.
View at: Google Scholar
Accessed December 25, 2013 http://www.bamlabs.com/downloads/ProductOverview_Spring2012.pdf.
H. Nikamalfard, H. Zheng, H. Wang, and P. Jeffers, “A sleep pattern analysis and visualization system to support people with early dementia,” in Conf Proc PervasiveHealth 2011, pp. 510–513, 2011.
View at: Google Scholar
V. Metsis, G. Galatas, and A. Papangelis, “Recognition of Sleep Patterns Using a Bed Pressure Mat,” in Conf Proc PervasiveHealth PETRA 2011, 2011.
View at: Google Scholar
H. Ni, B. Abdulrazak, D. Zhang et al., “Towards non-intrusive sleep pattern recognition in elder assistive environment,” J. Ambient Intelligence and Humanized Computing, vol. 3, no. 2, pp. 167–175, 2012.
View at: Google Scholar
S. K. Roepke and S. Ancoli-Israel, “Sleep disorders in the elderly,” Indian J Med Res, vol. 131, pp. 302–310, 2010.
View at: Google Scholar
A. Boyle, C. A. Melville, J. Morrison et al., “A cohort study of the prevalence of sleep problems in adults with intellectual disabilities,” J. Sleep Res, vol. 19, no. 1, pp. 42–53, 2010.
View at: Google Scholar
F. T. Liu, K. M. Ting, and Z. H. Zhou, “Isolation forest,” in Conf Proc ICDM 2008, pp. 413–422, 2008.
View at: Google Scholar
D. J. Cook and M. Schmitter-Edgecombe, “Assessing the quality of activities in a smart environment,” Methods of Information in Medicine, vol. 48, no. 5, pp. 480–485, 2009.
View at: Google Scholar
D. J. Cook, “Learning setting-generalized activity models for smart spaces,” IEEE Intelligent Systems, vol. 27, no. 1, pp. 32–38, 2012.
View at: Google Scholar

Copyright

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation Order printed copies

Views

789

Downloads

816

Citations