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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.

  • 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.

1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Forthcoming Issues - p. iii 6. Contributors - p. v 7. Preface - p. xiii 8. Self-Applied Home Sleep Recordings: The Future of Sleep Medicine - p. 545 9. Improving Machine Learning Technology in the Field of Sleep - p. 557 10. Getting More from the Sleep Recording - p. 567 11. Objective Measures of Cognitive Performance in Sleep Disorder Research - p. 575 12. The Role of Patient-Reported Outcomes in Sleep Measurements - p. 595 13. Challenges and Opportunities for Applying Wearable Technology to Sleep - p. 607 14. New Paths in Respiratory Sleep Medicine: Consumer Devices, e-Health, and Digital Health Measurements - p. 619 15. Sleep Measurements in Women - p. 635 16. Sleep Measurement in Children—Are We on the Right Track? - p. 649 17. Measuring Sleep, Wakefulness, and Circadian Functions in Neurologic Disorders - p. 661

Descripcion
Descripción

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.

  • 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.

1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Forthcoming Issues - p. iii 6. Contributors - p. v 7. Preface - p. xiii 8. Self-Applied Home Sleep Recordings: The Future of Sleep Medicine - p. 545 9. Improving Machine Learning Technology in the Field of Sleep - p. 557 10. Getting More from the Sleep Recording - p. 567 11. Objective Measures of Cognitive Performance in Sleep Disorder Research - p. 575 12. The Role of Patient-Reported Outcomes in Sleep Measurements - p. 595 13. Challenges and Opportunities for Applying Wearable Technology to Sleep - p. 607 14. New Paths in Respiratory Sleep Medicine: Consumer Devices, e-Health, and Digital Health Measurements - p. 619 15. Sleep Measurements in Women - p. 635 16. Sleep Measurement in Children—Are We on the Right Track? - p. 649 17. Measuring Sleep, Wakefulness, and Circadian Functions in Neurologic Disorders - p. 661

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