Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data-Reference-Cited by-同舟云学术

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Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data

Published:2024 Issue: Volume:5 Page:14-20
ISSN:2644-1276
Container-title:IEEE Open Journal of Engineering in Medicine and Biology
language:
Short-container-title:IEEE Open J. Eng. Med. Biol.

Author:

McGinnis Ellen W.¹,Loftness Bryn²^ORCID,Lunna Shania²^ORCID,Berman Isabel²,Bagdon Skylar²,Lewis Genevieve²,Arnold Michael³^ORCID,Danforth Christopher M.³^ORCID,Dodds Peter S.³^ORCID,Price Matthew⁴^ORCID,Copeland William E.²^ORCID,McGinnis Ryan S.¹^ORCID

Affiliation:

1. M-Sense Research Group, Wake Forest School of Medicine, Winston-Salem, NC, USA

2. Vermont Center for Children, Youth and Families, University of Vermont, Burlington, VT, USA

3. Vermont Complex Systems Center, University of Vermont, Burlington, VT, USA

4. Center for Research on Emotion, Stress and Technology, University of Vermont, Burlington, VT, USA

Funder

U.S. National Institute of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782705/10443311/10399901.pdf?arnumber=10399901

Reference38 articles.

1. The Epidemiology of Panic Attacks, Panic Disorder, and Agoraphobia in the National Comorbidity Survey Replication

2. Diagnostic and Statistical Manual of Mental Disorders

3. Panic disorder;Cackovic,2022

4. A Digital Therapeutic Intervention Delivering Biofeedback for Panic Attacks (PanicMechanic): Feasibility and Usability Study

5. Assessing Panic: Bridging the Gap Between Fundamental Mechanisms and Daily Life Experience

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