fNIRS Approach to Pain Assessment for Non-verbal Patients
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-70093-9_83
Reference12 articles.
1. Brown, J.E., Chatterjee, N., Younger, J., Mackey, S.: Towards a physiology-based measure of pain: patterns of human brain activity distinguish painful from non-painful thermal stimulation. PLoS ONE 6(9), e24124 (2011)
2. Cowen, R., Stasiowska, M.K., Laycock, H., Bantel, C.: Assessing pain objectively: the use of physiological markers. Anaesthesia 70(7), 828–847 (2015)
3. Ding, H., Trajcevski, G., Scheuermann, P., Wang, X., Keogh, E.: Querying and mining of time series data: experimental comparison of representations and distance measures. Proc. VLDB Endowment 1(2), 1542–1552 (2008)
4. Gram, M., Graversen, C., Olesen, A.E., Drewes, A.: Machine learning on encephalographic activity may predict opioid analgesia. Eur. J. Pain 19(10), 1552–1561 (2015)
5. Herr, K., Coyne, P.J., McCaffery, M., Manworren, R., Merkel, S.: Pain assessment in the patient unable to self-report: position statement with clinical practice recommendations. Pain Manag. Nurs. 12(4), 230–250 (2011)
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