Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2014, Article ID 238350, 7 pages
http://dx.doi.org/10.1155/2014/238350
Research Article

Using Capacitance Sensor to Extract Characteristic Signals of Dozing from Skin Surface

1Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
2Department of Information Engineering, I-Shou University, Kaohsiung 84001, Taiwan
3Department of Electronic Engineering, National Kaohsiung University, Kaohsiung 811, Taiwan
4Department of Computer Science and Engineering, National Chung Hsing University, Taichung 402, Taiwan
5Department of Management of Information System, National Chung Hsing University, Taichung 402, Taiwan
6Department of Electronic Engineering, I-Shou University, Kaohsiung 84001, Taiwan
7Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan
8Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 811, Taiwan
9Department of Computer Science and Information Technology, National Chin-Yi University of Technology, Taichung 41170, Taiwan

Received 21 May 2014; Revised 20 October 2014; Accepted 23 October 2014; Published 13 November 2014

Academic Editor: Chengkuo Lee

Copyright © 2014 Po-Ying Chen et al. 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.

Linked References

  1. D. R. Bach and K. J. Friston, “No evidence for a negative prediction error signal in peripheral indicators of sympathetic arousal,” NeuroImage, vol. 59, no. 2, pp. 883–884, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. D. R. Bach, J. Daunizeau, K. J. Friston, and R. J. Dolan, “Dynamic causal modelling of anticipatory skin conductance responses,” Biological Psychology, vol. 85, no. 1, pp. 163–170, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. W. Boucsein, Electrodermal Activity, Springer, New York, NY, USA, 1992.
  4. V. I. Spoormaker, K. C. Andrade, M. S. Schröter et al., “The neural correlates of negative prediction error signaling in human fear conditioning,” NeuroImage, vol. 54, no. 3, pp. 2250–2256, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Bechara, H. Damasio, D. Tranel, and A. R. Damasio, “The iowa gambling task and the somatic marker hypothesis: some questions and answers,” Trends in Cognitive Sciences, vol. 9, no. 4, pp. 159–162, 2005. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Shiihara, T. Nogami, M. Chigira et al., “Sleep-wake rhythm during stay in an intensive care unit: a week's long-term recording of skin potentials,” Psychiatry and Clinical Neurosciences, vol. 55, no. 3, pp. 279–280, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. Ö. Özkan, M. Yildiz, S. Bilgin, and E. Köklükaya, “Measuring the sympathetic skin response on body and using as diagnosis-purposed for lung cancer patients by artificial neural networks,” Journal of Medical Systems, vol. 34, no. 3, pp. 407–412, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. D. T. Lykken and P. H. Venables, “Direct measurement of skin conductance: a proposal for standardization,” Psychophysiology, vol. 8, no. 5, pp. 656–672, 1971. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Bechara, D. Tranel, H. Damasio, and A. R. Damasio, “Failure to respond autonomically to anticipated future outcomes following damage to prefrontal cortex,” Cerebral Cortex, vol. 6, no. 2, pp. 215–225, 1996. View at Publisher · View at Google Scholar · View at Scopus
  10. M. A. Burock, R. L. Buckner, M. G. Woldorff, B. R. Rosen, and A. M. Dale, “Randomized event-related experimental designs allow for extremely rapid presentation rates using functional MRI,” NeuroReport, vol. 9, no. 16, pp. 3735–3739, 1998. View at Publisher · View at Google Scholar · View at Scopus
  11. J. T. Cacioppo, G. G. Berntson, J. T. Larsen, K. M. Poehlmann, and T. A. Ito, “The psychophysiology of emotion,” in The Handbook of Emotion, M. Lewis and J. M. Haviland-Jones, Eds., pp. 173–191, Guilford Press, New York, NY, USA, 2nd edition, 2002. View at Google Scholar
  12. H. D. Critchley, “Electrodermal responses: what happens in the brain,” Neuroscientist, vol. 8, no. 2, pp. 132–142, 2002. View at Publisher · View at Google Scholar · View at Scopus
  13. P. M. Jenkinson, S. R. Baker, N. M. J. Edelstyn, and S. J. Ellis, “Does autonomic arousal distinguish good and bad decisions? Healthy individuals' the Iowa gambling task,” Journal of Psychophysiology, vol. 22, no. 3, pp. 141–149, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Nagai, H. D. Critchley, E. Featherstone, M. R. Trimble, and R. J. Dolan, “Activity in ventromedial prefrontal cortex covaries with sympathetic skin conductance level: a physiological account of a “default mode” of brain function,” NeuroImage, vol. 22, no. 1, pp. 243–251, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. E. U. Weber and E. J. Johnson, “Mindful judgment and decision making,” Annual Review of Psychology, vol. 60, pp. 53–85, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. A. A. Reid and C. González-Vallejo, “Emotion as a tradeable quantity,” Journal of Behavioral Decision Making, vol. 22, no. 1, pp. 62–90, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Mookerjea, R. Krishnan, S. Datta, and V. Narayanan, “Effective capacitance and drive current for tunnel FET (TFET) CV/I estimation,” IEEE Transactions on Electron Devices, vol. 56, no. 9, pp. 2092–2098, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. X. Long, P. Fonseca, J. Foussier, R. Haakma, and R. M. Aarts, “Sleep and wake classification with actigraphy and respiratory effort using dynamic warping,” IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 4, pp. 1272–1284, 2014. View at Publisher · View at Google Scholar
  19. J.-M. Lee, D.-J. Kim, I.-Y. Kim, K.-S. Park, and S. I. Kim, “Detrended fluctuation analysis of EEG in sleep apnea using MIT/BIH polysomnography data,” Computers in Biology and Medicine, vol. 32, no. 1, pp. 37–47, 2002. View at Publisher · View at Google Scholar · View at Scopus