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DC Field | Value | Language |
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dc.contributor.author | Abdel Deen, OMT | - |
dc.contributor.author | Jean, W-H | - |
dc.contributor.author | Fan, S-Z | - |
dc.contributor.author | Abbod, MF | - |
dc.contributor.author | Shieh, J-S | - |
dc.date.accessioned | 2023-08-23T05:03:40Z | - |
dc.date.available | 2023-08-23T05:03:40Z | - |
dc.date.issued | 2023-06-24 | - |
dc.identifier | ORCID iD: Maysam F. Abbod https://orcid.org/0000-0002-8515-7933 | - |
dc.identifier.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. | en_US |
dc.identifier.issn | 1433-5298 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27031 | - |
dc.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. | en_US |
dc.description | 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). | - |
dc.description.sponsorship | Ministry of Science and Technology (Grant number: MOST 110-2221-E-155 -004—MY2). | en_US |
dc.format.extent | 600 - 608 | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature on behalf of International Society of Artificial Life and Robotics (ISAROB) | en_US |
dc.rights | Copyright © International Society of Artificial Life and Robotics (ISAROB) 2023. Published by Springer Nature. This is a pre-copyedited, author-produced version of an article accepted for publication in Artificial Life and Robotics following peer review. The final authenticated version is available online at https://doi.org/10.1007/s10015-023-00880-0 (see: https://www.springernature.com/gp/open-research/policies/journal-policies). | - |
dc.rights.uri | https://www.springernature.com/gp/open-research/policies/journal-policies | - |
dc.subject | long short-term memory networks | en_US |
dc.subject | surgical stress index (SSI) | en_US |
dc.subject | surgical pleth index (SPI) | en_US |
dc.subject | heartbeat interval | en_US |
dc.subject | photoplethysmographic waveform amplitude | en_US |
dc.subject | pain score | en_US |
dc.title | Pain scores estimation using surgical pleth index and long short-term memory neural networks | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1007/s10015-023-00880-0 | - |
dc.relation.isPartOf | Artificial Life and Robotics | - |
pubs.issue | 3 | - |
pubs.publication-status | Published | - |
pubs.volume | 28 | - |
dc.identifier.eissn | 1614-7456 | - |
dc.rights.holder | International Society of Artificial Life and Robotics (ISAROB) | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Embargoed until 24 June 2024 | 1.58 MB | Adobe PDF | View/Open |
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