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

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Abstract
BackgroundMigraine 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.MethodsThis 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.ResultsOur 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.ConclusionsThis 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.
Keywords
Migraine, Real-world data, Smartphones, Human behavior, QUALITY-OF-LIFE, SLEEP

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MLA
Stojchevska, Marija, et al. “Uncovering the Potential of Smartphones for Behavior Monitoring during Migraine Follow-Up.” BMC MEDICAL INFORMATICS AND DECISION MAKING, vol. 25, no. 1, 2025, doi:10.1186/s12911-025-02916-w.
APA
Stojchevska, M., Van Der Donckt, J., Vandenbussche, N., De Brouwer, M., Paemeleire, K., Ongenae, F., & Van Hoecke, S. (2025). Uncovering the potential of smartphones for behavior monitoring during migraine follow-up. BMC MEDICAL INFORMATICS AND DECISION MAKING, 25(1). https://doi.org/10.1186/s12911-025-02916-w
Chicago author-date
Stojchevska, Marija, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae, and Sofie Van Hoecke. 2025. “Uncovering the Potential of Smartphones for Behavior Monitoring during Migraine Follow-Up.” BMC MEDICAL INFORMATICS AND DECISION MAKING 25 (1). https://doi.org/10.1186/s12911-025-02916-w.
Chicago author-date (all authors)
Stojchevska, Marija, Jonas Van Der Donckt, Nicolas Vandenbussche, Mathias De Brouwer, Koen Paemeleire, Femke Ongenae, and Sofie Van Hoecke. 2025. “Uncovering the Potential of Smartphones for Behavior Monitoring during Migraine Follow-Up.” BMC MEDICAL INFORMATICS AND DECISION MAKING 25 (1). doi:10.1186/s12911-025-02916-w.
Vancouver
1.
Stojchevska M, Van Der Donckt J, Vandenbussche N, De Brouwer M, Paemeleire K, Ongenae F, et al. Uncovering the potential of smartphones for behavior monitoring during migraine follow-up. BMC MEDICAL INFORMATICS AND DECISION MAKING. 2025;25(1).
IEEE
[1]
M. Stojchevska et al., “Uncovering the potential of smartphones for behavior monitoring during migraine follow-up,” BMC MEDICAL INFORMATICS AND DECISION MAKING, vol. 25, no. 1, 2025.
@article{01JP4SHAQYSN4MSVZRZC7S0F8C,
  abstract     = {{BackgroundMigraine 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.MethodsThis 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.ResultsOur 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.ConclusionsThis 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.}},
  articleno    = {{88}},
  author       = {{Stojchevska, Marija and Van Der Donckt, Jonas and Vandenbussche, Nicolas and De Brouwer, Mathias and Paemeleire, Koen and Ongenae, Femke and Van Hoecke, Sofie}},
  issn         = {{1472-6947}},
  journal      = {{BMC MEDICAL INFORMATICS AND DECISION MAKING}},
  keywords     = {{Migraine,Real-world data,Smartphones,Human behavior,QUALITY-OF-LIFE,SLEEP}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{24}},
  title        = {{Uncovering the potential of smartphones for behavior monitoring during migraine follow-up}},
  url          = {{http://doi.org/10.1186/s12911-025-02916-w}},
  volume       = {{25}},
  year         = {{2025}},
}

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