Measuring Sleep, An Issue of Sleep Medicine Clinics, E-Book, 1st Edition
In this issue of Sleep Medicine Clinics, Guest Editor Erna Sif Arnardottir brings considerable expertise to the topic of Measuring Sleep. Top experts in the field cover key topics such as home sleep recordings, improving machine learning technology, new classification for sleep severity, the role of questionnaires, and more.
ISBNコード :
9780323897617
出版日 :
01-11-2021
In this issue of Sleep Medicine Clinics, Guest Editor Erna Sif Arnardottir brings considerable expertise to the topic of Measuring Sleep. Top experts in the field cover key topics such as home sleep recordings, improving machine learning technology, new classification for sleep severity, the role of questionnaires, and more.
特長
- Provides in-depth, clinical reviews on Measuring Sleep, providing actionable insights for clinical practice.
- Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.
- Contains 10 relevant, practice-oriented topics including getting more sleep from the recording; sleep measurement in women and children; consumer devices; free living sleep measurements; and more.
著者情報
Edited by Erna Sif Arnardottir, PhD, Assistant Professor, Dept of Engineering and Dept of Computer Science, Director of The Reykjavik University Sleep Institute (RUSI)
Reykjavik University
| ISBN Number | 9780323897617 |
|---|---|
| Description Author List | Edited by Erna Sif Arnardottir, PhD, Assistant Professor, Dept of Engineering and Dept of Computer Science, Director of The Reykjavik University Sleep Institute (RUSI) Reykjavik University |
| Copyright Year | 2021 |
| Edition Number | 1 |
| Format | E-Book |
| Imprint | Elsevier |
| Page Count | 240 |
| Publication Date | 1 Nov 2021 |
| Stock Status | IN STOCK |
Self-Applied Home Sleep Recordings: The Future of Sleep Medicine
Improving Machine Learning Technology in the Field of Sleep
Getting More from the Sleep Recording
Objective Measures of Cognitive Performance in Sleep Disorder Research
The Role of Patient-Reported Outcomes in Sleep Measurements
Challenges and Opportunities for Applying Wearable Technology to Sleep
New Paths in Respiratory Sleep Medicine: Consumer Devices, e-Health, and Digital Health Measurements
Sleep Measurements in Women
Sleep Measurement in Children—Are We on the Right Track?
Measuring Sleep, Wakefulness, and Circadian Functions in Neurologic Disorders
Improving Machine Learning Technology in the Field of Sleep
Getting More from the Sleep Recording
Objective Measures of Cognitive Performance in Sleep Disorder Research
The Role of Patient-Reported Outcomes in Sleep Measurements
Challenges and Opportunities for Applying Wearable Technology to Sleep
New Paths in Respiratory Sleep Medicine: Consumer Devices, e-Health, and Digital Health Measurements
Sleep Measurements in Women
Sleep Measurement in Children—Are We on the Right Track?
Measuring Sleep, Wakefulness, and Circadian Functions in Neurologic Disorders
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