假定可穿戴传感器在早期识别偏头痛发作患者感知的有用性

Hanna-Leena Huttunen, P. Seppänen, R. Halonen
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摘要

这项研究分析了如果可穿戴传感器为偏头痛患者提供即将来临或即将发作的预警,他们会如何改善日常生活。该研究使用技术接受模型(TAM)分析了新技术在识别偏头痛患者前期症状方面的应用,重点关注可穿戴设备的假设有用性。这项研究增加了人们对让偏头痛患者接受智能技术来支持他们自己治疗的理解。研究结果来自582名有或没有先兆的偏头痛患者。先兆偏头痛和无先兆偏头痛的区别在于,先兆偏头痛先于身体症状,如视觉障碍、麻木和言语困难,而无先兆偏头痛没有先兆症状。然而,假设的可穿戴设备(WBAN)会通知即将到来的偏头痛发作的生物信号。由于现有的监测健康和福祉的数字化工具目前取得的成就,自我保健也在受益。偏头痛前期症状是确定偏头痛的最大挑战之一。注意到这一点,我们的研究解决了可穿戴传感器在偏头痛发作早期识别中的价值。
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On assumed usefulness of wearable sensors in early recognition of migraine attacks perceived by patients
This study analysed how migraine patients assume to improve their daily life if wearable sensors provide them pre-warnings of approaching or impending migraine attacks. The study analysed the use of new technology in identifying pre-symptoms in migraine patients using the Technology Acceptance Model (TAM) focusing on the assumed usefulness of a wearable device. The study added understanding of getting migraine patients to accept smart technology to support their own treatments. The results were drawn from a sample of altogether 582 migraine patients with or without an aura. The difference between migraine with aura and without aura is that migraine with aura precedes physical symptoms like visual disturbances, numbness, and difficulty in speech, while there are no pre-symptoms in migraine without aura. The assumed wearable device (WBAN) notifies, however, the bio-signals of an oncoming migraine attack. Due to current achievements with available digitalised tools to monitor health and wellbeing, also self-care is benefiting. Pre-migraine symptoms are among the biggest challenges in identifying migraine. Noting this, our study addressed the value of wearable sensors in early recognition of migraine attacks.
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