Mobile Application and Wearable Sensors for Use in Cognitive Behavioral Therapy for Drug Addiction and PTSD

Richard Fletcher; Sharon Tam; Olufemi Omojola; Richard Redemske; Szymon Fedor; Joseph Mugisha

5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Mobile Application and Wearable Sensors for Use in Cognitive Behavioral Therapy for Drug Addiction and PTSD

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@INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246105,
    author={Richard Fletcher and Sharon Tam and Olufemi Omojola and Richard Redemske and Szymon Fedor and Joseph Mugisha},
    title={Mobile Application and Wearable Sensors for Use in Cognitive Behavioral Therapy for Drug Addiction and PTSD},
    proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
    publisher={IEEE},
    proceedings_a={PERVASIVEHEALTH},
    year={2012},
    month={4},
    keywords={mobile health interventions wearable sensors phone Android EMA PTSD mental health CBT drug addiction therapy},
    doi={10.4108/icst.pervasivehealth.2011.246105}
}

Richard Fletcher
Sharon Tam
Olufemi Omojola
Richard Redemske
Szymon Fedor
Joseph Mugisha
Year: 2012
Mobile Application and Wearable Sensors for Use in Cognitive Behavioral Therapy for Drug Addiction and PTSD
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2011.246105

Richard Fletcher¹^,*, Sharon Tam¹, Olufemi Omojola¹, Richard Redemske¹, Szymon Fedor¹, Joseph Mugisha¹

1: MIT

*Contact email: fletcher@media.mit.edu

Abstract

We present a mobile system for cognitive behavioral therapy (CBT) developed for an ongoing study for patients with drug-addiction and post-traumatic stress disorder (PTSD). The mobile platform consists of two parts: a wearable sensor system for collecting algorithm training data in the lab, and a mobile phone application used to deliver therapeutic interventions as triggered by real-time sensor data. Ecological momentary assessments (EMA) are also used as a means of collecting subjective data and validating the sensor classification algorithm. We provide a brief description of the wearable sensors, mobile phone software and network architecture used in the study.

Keywords: mobile health interventions wearable sensors phone Android EMA PTSD mental health CBT drug addiction therapy

Published: 2012-04-17
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.pervasivehealth.2011.246105