Towards a mobile and wearable system for predicting panic attacks

Abstract

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.

Animo

“…Like smartwatches, most prior work in biosignals target individuals, such as providing users with personal feedback on fitness, well-being, or social skills [2,16,18,32,46,51]. However, some research has explored the potential for biosignals to support interpersonal communication, focusing on how they affect our emotions [33,48].…”

Time, Frequency & Complexity Analysis for Recognizing Panic States from Physiologic Time-Series

“…The physiologic dataset used within this analysis was collected during an ambulatory study [26] from a population of individuals with panic disorder who experienced regular panic attacks. Subjects wore a wearable 1-lead ECG (250 Hz) monitoring device for up to three weeks.…”

“…In total, 19 panic attacks were recorded from 7 study subjects. We refer the reader to [26] for a more comprehensive study description.…”

“…We utilize a physiologic time-series dataset, collected from a population of individuals suffering from panic disorder, where ground truth information was obtained to indicate onset of panic attack symptoms. The dataset was collected from an ambulatory study using a wearable ECG monitoring system [26].…”

BBAware - A Context-Aware Mobile and Wearable Architecture for Monitoring Beta-Blocked Cardiac Patients

“…Wearable devices were used by specific health care solutions. One example is the study published by Rubin et al [Rubin et al 2015] that used a chest-worn device that measures heart rate, respiration rate, perspiration and skin temperature. They proposed a system that combines a wearable device with a smartphone to predict and react to approaching panic attacks.…”