This paper is in the following e-collection/theme issue:

New Methods (1134) Wearable Devices and Sensors (1133) Panic Disorder (22) Cardiac Diagnostics (30) Machine Learning (2076)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69045, first published .
Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Panic Attack Prediction for Patients With Panic Disorder via Machine Learning and Wearable Electrocardiography Monitoring: Model Development and Validation Study

Authors of this article:

Hayoung Oh1 Author Orcid Image ;   Hunmin Do2 Author Orcid Image ;   Chaehyun Maeng3 Author Orcid Image ;   Jinsuk Park4 Author Orcid Image ;   Taejun Yoon5 Author Orcid Image ;   Jihwan Kim6 Author Orcid Image ;   Hyeran Hwang7 Author Orcid Image ;   Seoin Choi6 Author Orcid Image ;   Piao Huilin6 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Hayoung Oh   1 * , PhD ;   Hunmin Do   2 * , BS ;   Chaehyun Maeng   3 * , BS ;   Jinsuk Park   4 * , BS ;   Taejun Yoon   5 * , BS ;   Jihwan Kim   6 * , MS ;   Hyeran Hwang   7 * , BS ;   Seoin Choi   6 * , MS ;   Piao Huilin   6 * , MS

1 Department of Artificial Intelligence Convergence, Sungkyunkwan University, Seoul, Republic of Korea

2 Department of Mechanical Engineering, Sungkyunkwan University, Seoul, Republic of Korea

3 Department of Child Psychology and Education, Sungkyunkwan University, Seoul, Republic of Korea

4 Department of Computer Science and Engineering, Sungkyunkwan University, Seoul, Republic of Korea

5 Department of Applied Data Science, Sungkyunkwan University, Seoul, Republic of Korea

6 Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, Republic of Korea

7 School of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea

*all authors contributed equally

Corresponding Author:

  • Hayoung Oh, PhD
  • Department of Artificial Intelligence Convergence
  • Sungkyunkwan University
  • 25-2, Seonggyun-gwan-ro, Jongno-gu
  • Seoul 03063
  • Republic of Korea
  • Phone: 82 10-5389-5996
  • Email: hyoh79@skku.edu