Noninvasive continuous blood pressure prediction using FlexNIRS and machine learning during carotid endarterectomy.
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| Title: | Noninvasive continuous blood pressure prediction using FlexNIRS and machine learning during carotid endarterectomy. |
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| Authors: | Einalou Z; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Dadgostar M; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Wu KC; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Martin A; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Robinson MB; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Renna M; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Qu JZ; Massachusetts General Hospital, Harvard Medical School, Department of Anesthesia, Critical Care and Pain Medicine, Boston, Massachusetts, United States., Sunwoo J; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States., Franceschini MA; Massachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, United States. |
| Source: | Journal of biomedical optics [J Biomed Opt] 2025 Feb; Vol. 30 (Suppl 2), pp. S23913. Date of Electronic Publication: 2025 Sep 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society Country of Publication: United States NLM ID: 9605853 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1560-2281 (Electronic) Linking ISSN: 10833668 NLM ISO Abbreviation: J Biomed Opt Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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