{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T04:13:45Z","timestamp":1789704825988,"version":"4.0.1"},"reference-count":18,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:00:00Z","timestamp":1769558400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technology and Health Care"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Migraine is a complex neurological disorder characterized by recurrent, often debilitating headaches. Current evidence suggests that autonomic nervous system (ANS) alterations play a significant role in migraine pathophysiology, affecting sensory, limbic, and homeostatic processing. Heart rate variability (HRV), a well-established, noninvasive marker of ANS function, is associated with migraine severity and treatment efficacy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>In this study, we aimed to evaluate the use of wearable sensor technology in predicting migraine attacks by monitoring changes in the ANS during the prodrome phase.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We recruited 23 migraine sufferers and analyzed HRV during nocturnal sleep using wearable biosensors and machine learning, extracting HRV features from BVP signals and applying feature engineering to predict migraine episodes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The analysis of HRV provides an important approach to migraine attack prediction, revealing significant individual variability in physiological responses. Overall, these results lay the groundwork for developing more effective and personalized migraine prediction models, which could lead to earlier interventions and improved participant outcomes. Future research should consider controlled inclusion of post-migraine nights, potentially leveraging additional statistical or machine learning techniques to mitigate misclassification risks while capturing these transitional dynamics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/09287329251412968","type":"journal-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T07:01:57Z","timestamp":1769670117000},"page":"422-434","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Heart rate variability as a predictor of migraine: Sleep-time data analysis of pre-migraine nights"],"prefix":"10.1177","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-4873-5245","authenticated-orcid":false,"given":"R\u016bta","family":"Jankevi\u010di\u016bt\u0117","sequence":"first","affiliation":[{"name":"Department of Electronic Systems, Faculty of Electronics, Vilnius Gediminas Technical University, Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Viroslava","family":"Kapustynska","sequence":"additional","affiliation":[{"name":"Department of Electronic Systems, Faculty of Electronics, Vilnius Gediminas Technical University, Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4689-4818","authenticated-orcid":false,"given":"Saulius","family":"Andru\u0161kevi\u010dius","sequence":"additional","affiliation":[{"name":"Center of Neurology, Vilnius University, Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristina","family":"Ryli\u0161kien\u0117","sequence":"additional","affiliation":[{"name":"Center of Neurology, Vilnius University, Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1588-6572","authenticated-orcid":false,"given":"Vytautas","family":"Abromavi\u010dius","sequence":"additional","affiliation":[{"name":"Department of Electronic Systems, Faculty of Electronics, Vilnius Gediminas Technical University, Vilnius, Lithuania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,1,28]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1177\/0333102417738202"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-021-00328-4"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1212\/CON.0000000000001412"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00034.2015"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2017.00258"},{"key":"e_1_3_2_7_2","first-page":"2021","article-title":"Heart rate variability analysis in episodic migraine: a cross-sectional study","volume":"12","author":"Zhang L","year":"2021","unstructured":"Zhang L, Qiu S, Zhao C, et al. Heart rate variability analysis in episodic migraine: a cross-sectional study. Front Neurol. 2021; Volume 12: 2021.","journal-title":"Front Neurol."},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49703-y"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1186\/s10194-020-01192-5"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2012.10.019"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.5301\/heartint.5000232"},{"key":"e_1_3_2_12_2","first-page":"584","article-title":"Characteristics of heart rate variability in patients with vestibular migraine","volume":"57","author":"Zhao YM","unstructured":"Zhao YM, Liu CL, Li YL, et al. Characteristics of heart rate variability in patients with vestibular migraine. Zhonghua er bi yan hou tou Jing wai ke za zhi\u2009=\u2009Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2022 May 1; 57: 584\u2013588.","journal-title":"Zhonghua er bi yan hou tou Jing wai ke za zhi\u2009=\u2009Chinese Journal of Otorhinolaryngology Head and Neck Surgery"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.647092"},{"key":"e_1_3_2_14_2","first-page":"033310242312067","article-title":"Abnormal heart rate variability and its application in predicting treatment efficacy in patients with chronic migraine: an exploratory study","volume":"43","author":"Chuang CH","unstructured":"Chuang CH, Li JY, King JT, et al. Abnormal heart rate variability and its application in predicting treatment efficacy in patients with chronic migraine: an exploratory study. Cephalalgia 2023 Oct; 43: 03331024231206781.","journal-title":"Cephalalgia"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare12171701"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1177\/09287329251332415"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.3390\/s18051374"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.3233\/THC-235015"},{"key":"e_1_3_2_19_2","article-title":"Tracing transformation: chronic migraine classification, progression, and epidemiology","volume":"72","author":"Lipton RB","unstructured":"Lipton RB. Tracing transformation: chronic migraine classification, progression, and epidemiology. Neurology 2009 Feb 3; 72: S3\u2013S7.","journal-title":"Neurology"}],"container-title":["Technology and Health Care"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09287329251412968","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/09287329251412968","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09287329251412968","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T17:47:38Z","timestamp":1779472058000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/09287329251412968"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,28]]},"references-count":18,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1177\/09287329251412968"],"URL":"https:\/\/doi.org\/10.1177\/09287329251412968","relation":{},"ISSN":["0928-7329","1878-7401"],"issn-type":[{"value":"0928-7329","type":"print"},{"value":"1878-7401","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,28]]}}}