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The Transactions of
the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2019-12
(Vol.68 No.12)
10.5370/KIEE.2019.68.12.1626
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References
1
J. A. Grass, 2005, Patient-controlled analgesia, Anesthesia & Analgesia, Vol. 101, No. 5S, pp. S44-S61
2
M.. Jeanne, C. Clément, J. De Jonckheere, R. Logier, B. Tavernier, 2012, Variations of the analgesia nociception index during general anaesthesia for laparoscopic abdominal surgery, Journal of Clinical Monitoring and Computing, Vol. 26, No. 4, pp. 289-294
3
M. A. Connelly, J. T. Brown, G. L. Kearns, R. A. Anderson, S. D. St Peter, K. A. Neville, 2014, Pupillometry: a non-invasive technique for pain assessment in paediatric patients, Archives of Disease in Childhood, Vol. 99, No. 12, pp. 1125-1131
4
T. Ledowski, J. Bromilow, M. Paech, H. Storm, R. Hacking, S. Schug, 2006, Monitoring of skin conductance to assess postoperative pain intensity, British Journal of Anaesthesia, Vol. 97, No. 6, pp. 862-865
5
M. Huiku, et al., 2007, Assessment of surgicalstress during general anaesthesia, British Journal of Anaesthesia, Vol. 98, No. 4, pp. 447-455
6
R. F. Rojas, X. Huang, K.-L. Ou, 2019, A Machine Learning Approach for the Identification of a Biomarker of Human Pain using fNIRS, Scientific Reports, Vol. 9, No. 1, pp. 5645
7
S. Gruss, et al., 2015, Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines, Public Library of Science One, Vol. 10, No. 10, pp. e0140330
8
L. Breiman, 2001, Random forests, Machine Learning, Vol. 45, No. 1, pp. 5-32
9
H. S. Seok, B.-M. Choi, G.-J. Noh, H. Shin, 2019, Post- operative Pain Assessment Model Based on Pulse Contour Characteristics Analysis, Institute of Electrical and Electronics Engineers Journal of Biomedical and Health Informatics, Vol. 23, No. 6, pp. 2317-2324
10
J. Lever, M. Krzywinski, N. Altman, 2016, Points of Significance: Model selection and overfitting, Nature Methods, Vol. 9, No. 13, pp. 703-704