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Nightmare Disorder: An Overview

In: Handbook of AI and Data Sciences for Sleep Disorders

Author

Listed:
  • Brian Robertson

    (NightWare, Inc.)

  • Alexander Semenov

    (University of Florida)

  • Tyler Skluzacek

    (NightWare, Inc.)

  • Han Coburn

    (NightWare, Inc.)

  • Matthew Miller

    (US Navy, Radiology Department at Naval Medical Center San Diego)

Abstract

Nightmare disorder and post-traumatic stress disorder-associated nightmares cause significant disruption in sleep, which results in daytime dysfunction. Treatments for this condition have proven to be treatment resistant in many cases, and effective treatment is sometimes unavailable due to limitations in the healthcare system or the lack of available qualified therapists. Treatment of nightmares can be done using a biofeedback device that uses the haptic functions of a commercially available watch running software that monitors sleep and interrupts nightmares when they occur. This device uses a version of machine learning to personalize treatment and adjust the interventions as the user’s sleep characteristics change over time.

Suggested Citation

  • Brian Robertson & Alexander Semenov & Tyler Skluzacek & Han Coburn & Matthew Miller, 2024. "Nightmare Disorder: An Overview," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 275-304, Springer.
    • Handle: RePEc:spr:spochp:978-3-031-68263-6_11
    DOI: 10.1007/978-3-031-68263-6_11
    as

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