Nightmare Disorder: An Overview

Brian Robertson; Alexander Semenov; Tyler Skluzacek; Han Coburn; Matthew Miller

doi:10.1007/978-3-031-68263-6_11

Nightmare Disorder: An Overview

Brian Robertson, Alexander Semenov, Tyler Skluzacek, Han Coburn, Matthew Miller

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Springer Optimization and Its Applications
Publisher	Springer
Pages	275-304
Number of pages	30
DOIs	https://doi.org/10.1007/978-3-031-68263-6_11
State	Published - 2024
Externally published	Yes

Publication series

Name	Springer Optimization and Its Applications
Volume	216
ISSN (Print)	1931-6828
ISSN (Electronic)	1931-6836

Keywords

Digital therapeutic
Digital therapy
NightWare
Nightmare disorder

Access to Document

10.1007/978-3-031-68263-6_11

Cite this

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title = "Nightmare Disorder: An Overview",

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AU - Semenov, Alexander

AU - Skluzacek, Tyler

AU - Coburn, Han

AU - Miller, Matthew

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

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AB - 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.

KW - Digital therapeutic

KW - Digital therapy

KW - NightWare

KW - Nightmare disorder

UR - https://www.scopus.com/pages/publications/85207912192

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DO - 10.1007/978-3-031-68263-6_11

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T3 - Springer Optimization and Its Applications

SP - 275

EP - 304

BT - Springer Optimization and Its Applications

PB - Springer

ER -

Nightmare Disorder: An Overview

Abstract

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Keywords

Access to Document

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