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. |
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| 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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