Dynamic Quantification of Migrainous Thermal Facial Patterns - A Pilot Study
This article documents thermophysiological patterns associated with migraine episodes, where the inner canthi and supraorbital temperatures drop significantly compared to normal conditions. These temperature drops are likely due to vasoconstriction of the ophthalmic arteries under the inner canthi a...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2019-05, Vol.23 (3), p.1225-1233 |
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| container_title | IEEE journal of biomedical and health informatics |
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| creator | Pavlidis, Ioannis Garza, Ivan Tsiamyrtzis, Panagiotis Dcosta, Malcolm Swanson, Jerry W. Krouskop, Thomas Levine, James A. |
| description | This article documents thermophysiological patterns associated with migraine episodes, where the inner canthi and supraorbital temperatures drop significantly compared to normal conditions. These temperature drops are likely due to vasoconstriction of the ophthalmic arteries under the inner canthi and sympathetic activation of the eccrine glands in the supraorbital region, respectively. The thermal patterns were observed on eight migraine patients and meticulously quantified using advance computational methods, capable of delineating small anatomical structures in thermal imagery and tracking them automatically over time. These methods open the way for monitoring migraine episodes in nonclinical environments, where the patient maintains directional attention, such as his/her computer at home or at work. This development has the potential to significantly expand the operational envelope of migraine studies. |
| doi_str_mv | 10.1109/JBHI.2018.2855670 |
| format | Article |
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These temperature drops are likely due to vasoconstriction of the ophthalmic arteries under the inner canthi and sympathetic activation of the eccrine glands in the supraorbital region, respectively. The thermal patterns were observed on eight migraine patients and meticulously quantified using advance computational methods, capable of delineating small anatomical structures in thermal imagery and tracking them automatically over time. These methods open the way for monitoring migraine episodes in nonclinical environments, where the patient maintains directional attention, such as his/her computer at home or at work. This development has the potential to significantly expand the operational envelope of migraine studies.</description><identifier>ISSN: 2168-2194</identifier><identifier>EISSN: 2168-2208</identifier><identifier>DOI: 10.1109/JBHI.2018.2855670</identifier><identifier>PMID: 30004895</identifier><identifier>CODEN: IJBHA9</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Adult ; Arteries ; Biomedical optical maging ; Blood vessels ; Computer applications ; Face - diagnostic imaging ; Face - physiology ; face tracking ; Facial features ; Female ; Glands ; Headache ; Humans ; Image Interpretation, Computer-Assisted - methods ; Image segmentation ; Imagery ; Infrared imaging ; Maximum likelihood estimation ; Medical conditions ; Middle Aged ; Migraine ; Migraine Disorders - diagnostic imaging ; Pain ; Patient monitoring ; periorbital ; supraorbital ; thermal imaging ; Thermography - methods ; Vasoconstriction ; Young Adult</subject><ispartof>IEEE journal of biomedical and health informatics, 2019-05, Vol.23 (3), p.1225-1233</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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These temperature drops are likely due to vasoconstriction of the ophthalmic arteries under the inner canthi and sympathetic activation of the eccrine glands in the supraorbital region, respectively. The thermal patterns were observed on eight migraine patients and meticulously quantified using advance computational methods, capable of delineating small anatomical structures in thermal imagery and tracking them automatically over time. These methods open the way for monitoring migraine episodes in nonclinical environments, where the patient maintains directional attention, such as his/her computer at home or at work. 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| subjects | Adult Arteries Biomedical optical maging Blood vessels Computer applications Face - diagnostic imaging Face - physiology face tracking Facial features Female Glands Headache Humans Image Interpretation, Computer-Assisted - methods Image segmentation Imagery Infrared imaging Maximum likelihood estimation Medical conditions Middle Aged Migraine Migraine Disorders - diagnostic imaging Pain Patient monitoring periorbital supraorbital thermal imaging Thermography - methods Vasoconstriction Young Adult |
| title | Dynamic Quantification of Migrainous Thermal Facial Patterns - A Pilot Study |
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