2018
DOI: 10.1007/978-3-319-97931-1_16
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Preferred Biosignals to Predict Migraine Attack

Abstract: Abstract. Migraine is classified to two classes, with aura and without aura, and migraine seizures last usually several hours. The goal of this study was to identify the most important symptoms of migraine to be monitored by wearable sensors to predict the migraine attack. The purpose of wearable sensors is to guide patients to take the migraine medication in time, and to support their own care. Self-measurement is a growing trend worldwide and sensor technology has been used for several years in activity wris… Show more

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Cited by 1 publication
(5 citation statements)
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“…Kari et al [25] referred to Warraich's [12] remarks on early user participation and different set of user requirements as one motivation of their study on understanding of how people use and perceive wellness technology in their everyday lives. Huttunen and Halonen [3] focused on technology-supported self-tracking in case of migraine by studying the bio-signals preferred by migraine patients for predicting an incoming migraine attack.…”
Section: Wearable Sensors and Self-trackingmentioning
confidence: 99%
See 4 more Smart Citations
“…Kari et al [25] referred to Warraich's [12] remarks on early user participation and different set of user requirements as one motivation of their study on understanding of how people use and perceive wellness technology in their everyday lives. Huttunen and Halonen [3] focused on technology-supported self-tracking in case of migraine by studying the bio-signals preferred by migraine patients for predicting an incoming migraine attack.…”
Section: Wearable Sensors and Self-trackingmentioning
confidence: 99%
“…Due to the economic costs caused by migraine, solutions for migraine self-care should be developed [33]. The development of a new medical wearable device for migraine patients should consider bio-signals of sleep quality, stress level, sleep rhythm, energy consumption, pulse, and blood pressure [3]. Bio-signals provide useful information for humans on physiological changes, and migraine patients are interested in using smart devices in their daily lives to monitor their everyday living [34], and disease prediction [5].…”
Section: Migrainementioning
confidence: 99%
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