Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events

By R. Berry, R. Budhiraja, D. Gottlieb, David Gozal, C. Iber, V. Kapur, C. Marcus, R. Mehra, S. Parthasarathy, S. Quan and 4 more. Journal of Clinical Sleep Medicine (JCSM), 2012

5,047 citations recorded by the source corpus.

Subfields: Endocrine and Autonomic Systems, Physiology, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/4720cc6f541d46bef726fc9c6db2180c1ae9c13b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Endocrine and Autonomic Systems

1. Atul Malhotra
2. Paul E. Peppard
3. Matthew P. Walker
4. S. Tufik

In Physiology

1. Atul Malhotra
2. Paul E. Peppard
3. M. Morrell
4. S. Tufik
5. T. Young

In Pulmonary and Respiratory Medicine

1. Atul Malhotra
2. Paul E. Peppard

Citations in the corpus

• A comparative review on sleep stage classification methods in patients and healthy individuals (2017, methodology): “The qualitative analysis (visual inspection) of a whole night SG recordings is performed through one of the two available tandards [28] including the traditional Rechtschaffen and Kales R&K) [29] and the more recently-developed standards laid down y the American academy of sleep medicine (AASM) [30]”
• Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis (2019, methodology): “19,22 The main differences between the criteria relate to scoring of hypopnoeas (table 1).”
• The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise (2020, methodology): “The concomitant use of different sensors is needed for the differential diagnosis of OSA, central sleep apnea (CSA), or mixed sleep apnea, and different guidelines have been provided for children and adults [71].”
• Sleep spindle detection: crowdsourcing and evaluating performance of experts, non-experts, and automated methods (2014, neutral): “They have a characteristic waxing and waning shape, and are a key EEG feature used during sleep scoring to define non-REM stage 2 (N2) sleep 1 .”
• An open-source, high-performance tool for automated sleep staging (2021, methodology): “Each epoch is then assigned a sleep stage based on standard rules defined by the American Academy of Sleep Medicine (AASM, Berry et al., 2012 ; Iber et al., 2007 ).”