About this Research Topic
The landscape of sleep medicine is experiencing swift and profound transformation, driven by rapid advancements in innovation across various fronts, including sensor miniaturization, artificial intelligence/machine learning/deep learning (AI/ML/DL), Internet of Things, and cloud computing. These cutting-edge sleep technologies have evolved into sophisticated and precise tools, now capable of furnishing vital sleep physiological metrics and presenting a broad spectrum of solutions tailored to both diagnostic and therapeutic needs. In recent years, advancements in sleep technology research have substantially deepened our understanding of sleep and enhanced our capability to improve sleep quality through personalized and innovative approaches. Despite these significant strides, there remains a pressing need for more sleep technology research. Understanding the long-term impacts of these technologies on sleep health in various populations, refining the diagnostic accuracy of sleep-tracking devices, and exploring the nuanced relationships between sleep and various health conditions are crucial.
Drawing inspiration from Dr. William Dement's book from the 1990s, "The Promise of Sleep," we have chosen the title "The Promise of Sleep Technology" for this Research Topic. Our goal is to offer up-to-date and comprehensive insights into the realm of sleep technology, echoing our belief that the evolution of sleep technology holds immense potential to revolutionize diagnostic and therapeutic approaches within sleep medicine, promising a brighter future for patients afflicted by sleep disorders. Through this special Issue, we aim to provide a platform for academic researchers, innovators, and industry to share their latest findings and insights, fostering collaboration and driving progress in the dynamic field of sleep technology, ultimately contributing to the enhancement of patient care and well-being.
In this endeavor, we extend an open invitation for contributions, encompassing both original research and review articles, from diverse disciplines pertaining to sleep technologies. We welcome performance evaluation studies utilizing novel consumer devices (wearables, nearables, airables, and smartphone applications) as well as AI/ML/DL algorithms designed to assess sleep-wake outcomes, sleep stage classification, and snoring detection. Moreover, we encourage submissions of research focusing on the assessment of medical-grade devices or algorithms in diagnosing and screening sleep apnea, as well as their application for prognostic prediction using pulse rate variability, hypoxic burden, or other innovative metrics. We also seek papers that examine the efficacy of novel digital and non-digital therapeutic devices or software (such as digital cognitive-behavior therapy) targeting the management of various sleep disorders. Lastly, we welcome submissions of studies in the pediatric population and outcome studies that explore the impact of emerging sleep technologies on patient outcomes and quality of life.
Drawing inspiration from Dr. William Dement's book from the 1990s, "The Promise of Sleep," we have chosen the title "The Promise of Sleep Technology" for this Research Topic. Our goal is to offer up-to-date and comprehensive insights into the realm of sleep technology, echoing our belief that the evolution of sleep technology holds immense potential to revolutionize diagnostic and therapeutic approaches within sleep medicine, promising a brighter future for patients afflicted by sleep disorders. Through this special Issue, we aim to provide a platform for academic researchers, innovators, and industry to share their latest findings and insights, fostering collaboration and driving progress in the dynamic field of sleep technology, ultimately contributing to the enhancement of patient care and well-being.
In this endeavor, we extend an open invitation for contributions, encompassing both original research and review articles, from diverse disciplines pertaining to sleep technologies. We welcome performance evaluation studies utilizing novel consumer devices (wearables, nearables, airables, and smartphone applications) as well as AI/ML/DL algorithms designed to assess sleep-wake outcomes, sleep stage classification, and snoring detection. Moreover, we encourage submissions of research focusing on the assessment of medical-grade devices or algorithms in diagnosing and screening sleep apnea, as well as their application for prognostic prediction using pulse rate variability, hypoxic burden, or other innovative metrics. We also seek papers that examine the efficacy of novel digital and non-digital therapeutic devices or software (such as digital cognitive-behavior therapy) targeting the management of various sleep disorders. Lastly, we welcome submissions of studies in the pediatric population and outcome studies that explore the impact of emerging sleep technologies on patient outcomes and quality of life.
Keywords: sleep technology, artificial intelligence (AI), machine learning (ML), deep learning (DL), algorithm, biosensor, sleep apnea, insomnia, sleep disorders, apnea-hypopnea index (AHI), sleep staging, heart rate variability (HRV), hypoxic burden
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
