Towards a Mobile and Wearable System for Predicting Panic Attacks

Details

Event The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015)

Authors

Jonathan Rubin
Hoda Eldardiry
Rui Abreu
Shane Ahern
Honglu Du
Pattekar, Ashish V.
Bobrow, Daniel G.
Technical Publications
September 7th 2015
In this paper, we present first steps towards a mobile and wearable system intended to help people who experience regular and spontaneous panic attacks due to panic disorder. The goal of the system is to predict oncoming panic attacks and to deliver in-the-moment interventions on a smartphone device. Interventions are intended to reduce symptom severity by enabling a user to respond to approaching panic episodes. An initial feasibility study is described where a small real-world data set was collected. Personalized prediction models were trained which take, as input, physiological data and output a binary classification of either pre-panic or non-panic. We demonstrate proof-of-concept of episode prediction on this small dataset.

Citation

Rubin, J.; Eldardiry, H.; Abreu, R.; Ahern, S.; Du, H.; Pattekar, A. V.; Bobrow, D. G. Towards a Mobile and Wearable System for Predicting Panic Attacks. The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015) .; 2015, September 7 - 11th, Osaka, Japan

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