Uncovering the potential of smartphones for behavior monitoring during migraine follow-up.

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS
Marija Stojchevska, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae, Sofie Van Hoecke
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引用次数: 0

Abstract

Background: Migraine is a neurological disorder that affects millions of people worldwide. It is one of the most debilitating disorders which leads to many disability-adjusted life years. Conventional methods for investigating migraines, like patient interviews and diaries, suffer from self-reporting biases and intermittent tracking.

Methods: This study aims to leverage smartphone-derived data as an objective tool for examining the relationship between migraines and various human behavior aspects. By utilizing built-in sensors and monitoring phone interactions, we gather data from which we derive metrics such as keyboard usage, application interaction, physical activity levels, ambient light conditions, and sleep patterns. We perform statistical analysis testing to investigate whether there is a difference in user behavioral aspects during headache and non-headache periods.

Results: Our analysis of 362 headaches reveals differences in behavioral aspects such as ambient light, use of leisure apps, and number of keystrokes during headache periods and non-headache periods.

Conclusions: This exploratory study shows on the one hand that it is possible to monitor various human behavioral aspects using the smartphone sensors and interaction data only. On the other hand it shows that we can observe difference in human behavior between headache and non-headache periods. Our work is a step towards objectively measure the effects that migraine has on people's lives.

揭示智能手机在偏头痛随访期间行为监测的潜力。
背景:偏头痛是一种影响全世界数百万人的神经系统疾病。它是最使人衰弱的疾病之一,导致许多残疾调整生命年。调查偏头痛的传统方法,如患者访谈和日记,存在自我报告偏差和间歇性跟踪。方法:本研究旨在利用智能手机衍生的数据作为客观工具来研究偏头痛与各种人类行为方面之间的关系。通过利用内置传感器和监控手机交互,我们收集数据,从中得出键盘使用情况、应用程序交互、身体活动水平、环境光照条件和睡眠模式等指标。我们进行统计分析测试,以调查在头痛和非头痛期间是否存在用户行为方面的差异。结果:我们对362例头痛的分析揭示了在头痛和非头痛期间,环境光线、休闲应用程序的使用以及按键次数等行为方面的差异。结论:这项探索性研究一方面表明,仅使用智能手机传感器和交互数据就可以监测人类的各种行为方面。另一方面,它表明我们可以观察到头痛和非头痛期间人类行为的差异。我们的工作是朝着客观地衡量偏头痛对人们生活的影响迈出的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
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