Wearable Modular Device for Facilitation of Napping and Optimization of Post-nap Performance
Sleep deprivation-induced deficiencies in performance can be associated with high financial and human costs. Napping is an effective countermeasure, but the effects depend on previously accumulated sleep debt and timing, duration and sleep architecture of the naps. Long-term assessment of sleep architecture of nap/sleep episodes could yield an estimate of the accumulated sleep debt and help optimize the napping schedule. Moreover, sensory stimulation coupled with real-time assessment of sleep states could optimize sleep architecture and duration of each nap. With these goals in mind we designed a wearable device, dubbed Nap Cap, which integrates real-time EEG analysis with audio, visual and thermal stimulation. The prototype was evaluated on seven subjects (fully rested vs. sleep-deprived). While the prototype provided high quality EEG and comfort, sensory stimulation did not significantly influence sleep architecture. Evaluation of more paradigms of sensory stimulation on larger samples is warranted before final conclusions can be made.
KeywordsNap Sleep Deprivation Performance Optimization Wearable Devices
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- 2.Federal Highway Administration Office of Motor Carriers (1996), Truck and bus accident fact book, Washington, D.C. (1994–1996) Google Scholar
- 4.Rosekind, M.R., Gregory, K.B., Miller, D.L.: Crew Factors in Flight Operations XIII: A Survey of Fatigue Factors in Corporate/Executive Aviation Operations. NASA Ames Research Center, Moffett Field (2000)Google Scholar
- 8.Munch, M., Kobialka, S., Steiner, S., et al.: Wavelength-dependent effects of light exposure on sleep architecture and EEG power density in men. American Journal of Physiology 290(5), R1421–R1428 (2006)Google Scholar
- 10.American Academy of Sleep Medicine. The AASM Manual for the scoring of sleep and associated events. AASM, Westchester, IL (2007)Google Scholar
- 11.Popovic, D., Johnson, R.J., Westbrook, P., et al.: Automated sleep staging in real time using a single forehead (Fp1-Fp2) EEG channel. In: APSS 2009 (Submitted, 2009)Google Scholar
- 12.Popovic, D., Ayappa, I., Hauri, P., et al.: Accuracy of automated sleep staging using signals from a single forehead site. Sleep. Abstract Supplement 31, A332 (2008)Google Scholar