DeepAI AI Chat
Log In Sign Up

Hearts and Politics: Metrics for Tracking Biorhythm Changes during Brexit and Trump

by   Luca Maria Aiello, et al.
University of Cambridge

Our internal experience of time reflects what is going in the world around us. Our body's natural rhythms get disrupted for a variety of external factors, including exposure to collective events. We collect readings of steps, sleep, and heart rates from 11K users of health tracking devices in London and San Francisco. We introduce measures to quantify changes in not only volume of these three bio-signals (as previous research has done) but also synchronicity and periodicity, and we empirically assess how strong those variations are, compared to random expectation, during four major events: Christmas, New Year's Eve, Brexit, and the US presidential election of 2016 (Donald Trump's election). While Christmas and New Year's eve are associated with short-term effects, Brexit and Trump's election are associated with longer-term disruptions. Our results promise to inform the design of new ways of monitoring population health at scale.


page 1

page 2

page 3

page 4


Synchronizing Geospatial Information for Personalized Health Monitoring

The health effects of air pollution have been subject to intense study i...

Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data

We consider the problem of modeling cardiovascular responses to physical...

Modelling the clustering of extreme events for short-term risk assessment

Having reliable estimates of the occurrence rates of extreme events is h...

Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals

The regulation of the autonomic nervous system changes with the sleep st...