The messiness of the menstruator: assessing personas and functionalities of menstrual tracking apps
Objective The aim of this study was to examine trends in the intended users and
functionalities advertised by menstrual tracking apps to identify gaps in personas and …
functionalities advertised by menstrual tracking apps to identify gaps in personas and …
Developing measures of cognitive impairment in the real world from consumer-grade multimodal sensor streams
R Chen, F Jankovic, N Marinsek, L Foschini… - Proceedings of the 25th …, 2019 - dl.acm.org
The ubiquity and remarkable technological progress of wearable consumer devices and
mobile-computing platforms (smart phone, smart watch, tablet), along with the multitude of …
mobile-computing platforms (smart phone, smart watch, tablet), along with the multitude of …
Leveraging routine behavior and contextually-filtered features for depression detection among college students
The rate of depression in college students is rising, which is known to increase suicide risk,
lower academic performance and double the likelihood of dropping out of school. Existing …
lower academic performance and double the likelihood of dropping out of school. Existing …
Modeling heart rate and activity data for personalized fitness recommendation
Activity logs collected from wearable devices (eg Apple Watch, Fitbit, etc.) are a promising
source of data to facilitate a wide range of applications such as personalized exercise …
source of data to facilitate a wide range of applications such as personalized exercise …
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data
The menstrual cycle is a key indicator of overall health for women of reproductive age.
Previously, menstruation was primarily studied through survey results; however, as …
Previously, menstruation was primarily studied through survey results; however, as …
Assessment of menstrual health status and evolution through mobile apps for fertility awareness
For most women of reproductive age, assessing menstrual health and fertility typically
involves regular visits to a gynecologist or another clinician. While these evaluations provide …
involves regular visits to a gynecologist or another clinician. While these evaluations provide …
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking
Objective The study sought to build predictive models of next menstrual cycle start date
based on mobile health self-tracked cycle data. Because app users may skip tracking …
based on mobile health self-tracked cycle data. Because app users may skip tracking …
[HTML][HTML] The real-world applications of the symptom tracking functionality available to menstrual health tracking apps
Our review finds that the language used to describe symptoms and the specificity with which
symptoms are collected varies greatly across the most used iOS tracking apps. Although …
symptoms are collected varies greatly across the most used iOS tracking apps. Although …
Predicting pregnancy using large-scale data from a women's health tracking mobile application
Predicting pregnancy has been a fundamental problem in women's health for more than 50
years. Previous datasets have been collected via carefully curated medical studies, but the …
years. Previous datasets have been collected via carefully curated medical studies, but the …
[HTML][HTML] Multimodal human and environmental sensing for longitudinal behavioral studies in naturalistic settings: Framework for sensor selection, deployment, and …
Background Recent advances in mobile technologies for sensing human biosignals are
empowering researchers to collect real-world data outside of the laboratory, in natural …
empowering researchers to collect real-world data outside of the laboratory, in natural …