Literature DB >> 5518827

Automatic detection of the K-complex in sleep electroencephalograms.

G Bremer, J R Smith, I Karacan.   

Abstract

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Year:  1970        PMID： 5518827     DOI： 10.1109/tbme.1970.4502759

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


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  7 in total

1.  Mild Airflow Limitation during N2 Sleep Increases K-complex Frequency and Slows Electroencephalographic Activity.

Authors:  Chinh D Nguyen; Andrew Wellman; Amy S Jordan; Danny J Eckert
Journal:  Sleep       Date:  2016-03-01       Impact factor: 5.849

2.  Inter-expert and intra-expert reliability in sleep spindle scoring.

Authors:  Sabrina L Wendt; Peter Welinder; Helge B D Sorensen; Paul E Peppard; Poul Jennum; Pietro Perona; Emmanuel Mignot; Simon C Warby
Journal:  Clin Neurophysiol       Date:  2014-11-10       Impact factor: 3.708

3.  Beyond K-complex binary scoring during sleep: probabilistic classification using deep learning.

Authors:  Bastien Lechat; Kristy Hansen; Peter Catcheside; Branko Zajamsek
Journal:  Sleep       Date:  2020-10-13       Impact factor: 5.849

4.  Assessment of sleep in ventilator-supported critically III patients.

Authors:  Cristina Ambrogio; Jeffrey Koebnick; Stuart F Quan; Marco Ranieri; Sairam Parthasarathy
Journal:  Sleep       Date:  2008-11       Impact factor: 5.849

5.  Two distinct synchronization processes in the transition to sleep: a high-density electroencephalographic study.

Authors:  Francesca Siclari; Giulio Bernardi; Brady A Riedner; Joshua J LaRocque; Ruth M Benca; Giulio Tononi
Journal:  Sleep       Date:  2014-10-01       Impact factor: 5.849

6.  Local and Widespread Slow Waves in Stable NREM Sleep: Evidence for Distinct Regulation Mechanisms.

Authors:  Giulio Bernardi; Francesca Siclari; Giacomo Handjaras; Brady A Riedner; Giulio Tononi
Journal:  Front Hum Neurosci       Date:  2018-06-19       Impact factor: 3.169

7.  A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.

Authors:  Jeonghwan Hwang; Taeheon Lee; Honggu Lee; Seonjeong Byun
Journal:  J Med Internet Res       Date:  2022-01-19       Impact factor: 5.428
  7 in total

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