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

Machine Learning (1821) Mobile Health in Psychiatry (491) Artificial Intelligence (1835) mHealth for Data Collection and Research (1110) Wearable Devices and Sensors (1031) Panic Disorder (18)

Published on in Vol 10, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33063, first published .
Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study

Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study

Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study

Authors of this article:

Chan-Hen Tsai1, 2 Author Orcid Image ;   Pei-Chen Chen1 Author Orcid Image ;   Ding-Shan Liu3 Author Orcid Image ;   Ying-Ying Kuo2 Author Orcid Image ;   Tsung-Ting Hsieh1 Author Orcid Image ;   Dai-Lun Chiang4 Author Orcid Image ;   Feipei Lai1, 3 Author Orcid Image ;   Chia-Tung Wu3 Author Orcid Image
Article Authors Cited by (28) Tweetations (8) Metrics

Journals

  1. Abd-alrazaq A, AlSaad R, Aziz S, Ahmed A, Denecke K, Househ M, Farooq F, Sheikh J. Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research 2023;25:e42672 View
  2. Gomes N, Pato M, Lourenço A, Datia N. A Survey on Wearable Sensors for Mental Health Monitoring. Sensors 2023;23(3):1330 View
  3. Lazarou I, Kesidis A, Hloupis G, Tsatsaris A. Panic Detection Using Machine Learning and Real-Time Biometric and Spatiotemporal Data. ISPRS International Journal of Geo-Information 2022;11(11):552 View
  4. Caldirola D, Daccò S, Grassi M, Alciati A, Sbabo W, De Donatis D, Martinotti G, De Berardis D, Perna G. Cardiorespiratory Assessments in Panic Disorder Facilitated by Wearable Devices: A Systematic Review and Brief Comparison of the Wearable Zephyr BioPatch with the Quark-b2 Stationary Testing System. Brain Sciences 2023;13(3):502 View
  5. Liu J, Shih C, Huang H, Peng J, Cheng S, Tsai J, Lai F. Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study. Journal of Medical Internet Research 2023;25:e47366 View
  6. Olesen K, Lønfeldt N, Das S, Pagsberg A, Clemmensen L. Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild Using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a Nonrandomized Pilot Study. JMIR Research Protocols 2023;12:e48571 View
  7. Abd-alrazaq A, AlSaad R, Harfouche M, Aziz S, Ahmed A, Damseh R, Sheikh J. Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2023;25:e48754 View
  8. Ebuenyi I, Flocks-Monaghan C, Rai S, Vries R, Bhuyan S, Pearlman J, Jones N. Use of Assistive Technology for Persons with Psychosocial Disability: Systematic Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e49750 View
  9. Zheng Q, Liu F, Xu S, Hu J, Lu H, Liu T. Artificial intelligence empowering research on loneliness, depression and anxiety — Using Covid-19 as an opportunity. Journal of Safety Science and Resilience 2023;4(4):396 View
  10. Tsai C, Christian M, Lai F. Enhancing panic disorder treatment with mobile-aided case management: an exploratory study based on a 3-year cohort analysis. Frontiers in Psychiatry 2023;14 View
  11. Tsai C, Christian M, Kuo Y, Lu C, Lai F, Huang W. Sleep, physical activity and panic attacks: A two-year prospective cohort study using smartwatches, deep learning and an explainable artificial intelligence model. Sleep Medicine 2024;114:55 View
  12. Babu M, Lautman Z, Lin X, Sobota M, Snyder M. Wearable Devices: Implications for Precision Medicine and the Future of Health Care. Annual Review of Medicine 2024;75(1):401 View
  13. Olyanasab A, Annabestani M. Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review. Journal of Personalized Medicine 2024;14(2):203 View
  14. Haghayegh F, Norouziazad A, Haghani E, Feygin A, Rahimi R, Ghavamabadi H, Sadighbayan D, Madhoun F, Papagelis M, Felfeli T, Salahandish R. Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies. Advanced Science 2024 View
  15. Jang S, Sun T, Shin S, Lee H, Shin Y, Yeom J, Park Y, Cho C. A digital phenotyping dataset for impending panic symptoms: a prospective longitudinal study. Scientific Data 2024;11(1) View
  16. Gu X, Hu X. Research on mood monitoring and intervention for anxiety disorder patients based on deep learning wearable devices. Technology and Health Care 2025;33(2):1128 View
  17. Pinge A, Gad V, Jaisighani D, Ghosh S, Sen S. Detection and monitoring of stress using wearables: a systematic review. Frontiers in Computer Science 2024;6 View
  18. Lazarou I, Kesidis A, Tsatsaris A. Real-Time Detection, Evaluation, and Mapping of Crowd Panic Emergencies Based on Geo-Biometrical Data and Machine Learning. Digital 2025;5(1):2 View
  19. Spytska L. Exploration of Personality Characteristics of Individuals with Panic Attacks: A Personality Profile Study. Journal of Infant, Child, and Adolescent Psychotherapy 2025;24(1):84 View
  20. Hau C, Xia W, Ryan S, Firth J, Linardon J, Torous J. Smartphone monitoring and digital phenotyping apps for schizophrenia: A review of the academic literature. Schizophrenia Research 2025;281:237 View
  21. Bondanini G, Giovanelli C, Mucci N, Giorgi G. The Dual Impact of Digital Connectivity: Balancing Productivity and Well-Being in the Modern Workplace. International Journal of Environmental Research and Public Health 2025;22(6):845 View

Books/Policy Documents

  1. Bechthold L. Regenerative Zukünfte und künstliche Intelligenz. View
  2. Shrivastava K, Jaiswal A, Sachdeva N. Revolutionizing Healthcare 5.0: The Power of Generative AI. View

Conference Proceedings

  1. Kapoor A, Goel S. 2022 IEEE Bombay Section Signature Conference (IBSSC). Prediction of Anxiety Disorders using Machine Learning Techniques View
  2. Gomes N, Pato M, Lourenço A, Marcelo R, Santos P, Datia N. 2023 27th International Conference Information Visualisation (IV). Data Visualisation on a Mobile App for Real-Time Mental Health Monitoring View
  3. Kanagachidambaresan G, Arun C, Subashini M, Maheswaran S. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). Harnessing Machine Learning based sequence prediction for Industry 4.0 applications View
  4. Samah A, Abu-Samah A, Abdullah N, Jaafar R. 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). Application of Machine Learning for Panic Attack Detection using Health Wearable Sensors View
  5. Sriram S, Majumder S, Mimansa , Nivethitha V, Saxena A, Thangavel M. 2024 First International Conference for Women in Computing (InCoWoCo). Real-Time Prediction of Panic Attacks Through Sweat Analysis in Wearable Devices View