Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.

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Title: Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.
Authors: Khan MU; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia. Electronic address: umar.khan@canberra.edu.au., Aziz S; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia., Murtagh L; Department of Anaesthesia, Pain and Perioperative Medicine, The Canberra Hospital, Canberra, ACT, 2605, Australia., Chetty G; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia., Goecke R; School of Systems and Computing, University of New South Wales, Canberra, ACT, 2600, Australia., Fernandez Rojas R; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110300. Date of Electronic Publication: 2025 May 14.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.
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  Data: <searchLink fieldCode="AU" term="%22Khan+MU%22">Khan MU</searchLink>; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia. Electronic address: umar.khan@canberra.edu.au.<br /><searchLink fieldCode="AU" term="%22Aziz+S%22">Aziz S</searchLink>; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia.<br /><searchLink fieldCode="AU" term="%22Murtagh+L%22">Murtagh L</searchLink>; Department of Anaesthesia, Pain and Perioperative Medicine, The Canberra Hospital, Canberra, ACT, 2605, Australia.<br /><searchLink fieldCode="AU" term="%22Chetty+G%22">Chetty G</searchLink>; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia.<br /><searchLink fieldCode="AU" term="%22Goecke+R%22">Goecke R</searchLink>; School of Systems and Computing, University of New South Wales, Canberra, ACT, 2600, Australia.<br /><searchLink fieldCode="AU" term="%22Fernandez+Rojas+R%22">Fernandez Rojas R</searchLink>; Faculty of Science and Technology, University of Canberra, Canberra, ACT, 2617, Australia.
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  Data: <searchLink fieldCode="JN" term="%221250250%22">Computers in biology and medicine</searchLink> [Comput Biol Med] 2025 Jun; Vol. 192 (Pt B), pp. 110300. <i>Date of Electronic Publication: </i>2025 May 14.
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        Value: 10.1016/j.compbiomed.2025.110300
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      – TitleFull: Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment.
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              Text: 2025 Jun
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              Value: Pt B
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