Author:
Subramaniam Saranya Devi,Dass Brindha
Reference27 articles.
1. A. Schumann, N. Wessel, A. Schirdewan, K.J. Osterziel, Potential of feature selection methods in heart rate variability analysis for the classification of different cardiovascular diseases. Stat. Med. 21, 2225–2242 (2002) [Online]. https://doi.org/10.1002/sim.979
2. B.S. Zheng, M. Murugappan, S. Yaacob, FCM clustering of emotional stress using ECG features, in 2013 International Conference on Communication and Signal Processing, (2013), pp. 305–309 [Online]. https://doi.org/10.1109/iccsp.2013.6577064
3. C. Broucqsault-Dédrie, J. De Jonckheere, M. Jeanne, S. Nseir, Measurement of heart rate variability to assess pain in sedated critically ill patients: a prospective observational study. PLoS One 11(1), 1–11 (2016) [Online]. https://doi.org/10.1371/journal.pone.0147720
4. D. Cho, J. Ham, J. Oh, J. Park, S. Kim, N.-K. Lee, B. Lee, Detection of stress levels from biosignals measured in virtual reality environments using a kernel-based extreme learning machine. Sensors 17(10), 1–18 (2017) [Online]. https://doi.org/10.3390/s17102435
5. E.-H. Jang, B.-J. Park, S.-H. Kim, Y. Eum, J. Sohn, Identification of the optimal emotion recognition algorithm using physiological signals, in Proceedings of the 2011 2nd International Conference on Engineering and Industries (ICEI) (2011), pp. 1–6
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