Pain scores estimation using surgical pleth index and long short-term memory neural networks

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27031

Title:	Pain scores estimation using surgical pleth index and long short-term memory neural networks
Authors:	Abdel Deen, OMT Jean, W-H Fan, S-Z Abbod, MF Shieh, J-S
Keywords:	long short-term memory networks;surgical stress index (SSI);surgical pleth index (SPI);heartbeat interval;photoplethysmographic waveform amplitude;pain score
Issue Date:	24-Jun-2023
Publisher:	Springer Nature on behalf of International Society of Artificial Life and Robotics (ISAROB)
Citation:	Abdel Deen, O.M.T. et al. (2023) 'Pain scores estimation using surgical pleth index and long short-term memory neural networks', Artificial Life and Robotics, 28 (3), pp. 600 - 608. doi: 10.1007/s10015-023-00880-0.
Description:	Data availability: The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due state restrictions such as privacy and ethical restrictions. This work was presented in part at the joint symposium of the 28th International Symposium on Artificial Life and Robotics, the 8th International Symposium on BioComplexity, and the 6th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Beppu, Oita, and Online, January 25–27, 2023).
URI:	https://bura.brunel.ac.uk/handle/2438/27031
DOI:	https://doi.org/10.1007/s10015-023-00880-0
ISSN:	1433-5298
Other Identifiers:	ORCID iD: Maysam F. Abbod https://orcid.org/0000-0002-8515-7933
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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