Abstract
Recent research has indicated a significant association between depression and fatigue. To analyze depression and fatigue, an experiment was conducted that provided the subjects with affective content to induce a variety of emotions and heart rate variability (HRV). This paper presents a mental–physical model that describes the relationship between depression and fatigue by using a neuro-fuzzy network with a weighted fuzzy membership function using two time-domain and four frequency-domain features of HRV. HRV data were collected from 24 patients. At the end of the experiment, we determined the relationship between depression and fatigue with the mental–physical model, and our analysis results had an accuracy of 95.8 %.
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References
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Acknowledgments
This research was supported by the MKE (The Ministry of Knowledge Economy), Korea, under the Convergence-ITRC (Convergence Information Technology Research Center) support program (NIPA-2012-H0401-12-1001) supervised by the NIPA (National IT Industry Promotion Agency).
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© 2013 Springer Science+Business Media Dordrecht
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Tian, XW., Zhang, ZX., Lee, SH., Yoon, HJ., Lim, J.S. (2013). Depression and Fatigue Analysis Using a Mental-Physical Model. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_97
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DOI: https://doi.org/10.1007/978-94-007-5860-5_97
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