Literature DB >> 11997724

Digital tools in polysomnography.

Rajeev Agarwal1, Jean Gotman.   

Abstract

Recent advances in the computing power and storage devices have made computer-based recording of polysomnograms (PSGs) very attractive. Digital PSGs offer the possibility of automating many tedious and time-consuming tasks of identifying sleep related events. Automation not only alleviates these laborious tasks, but also introduces a measure of objectivity in the scoring of various discrete events. In this paper we briefly review some automatic methods that have been previously developed by the authors. Automatic sleep staging methods is emphasized with some illustrative results on inter-scorer variations. We also discuss the leg movement event, respiratory event, sleep spindle and rapid-eye-movement detection methods.

Mesh:

Year:  2002        PMID: 11997724     DOI: 10.1097/00004691-200203000-00004

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  2 in total

Review 1.  Rethinking sleep analysis.

Authors:  Hartmut Schulz
Journal:  J Clin Sleep Med       Date:  2008-04-15       Impact factor: 4.062

2.  Behavioral state classification in epileptic brain using intracranial electrophysiology.

Authors:  Vaclav Kremen; Juliano J Duque; Benjamin H Brinkmann; Brent M Berry; Michal T Kucewicz; Fatemeh Khadjevand; Jamie Van Gompel; Matt Stead; Erik K St Louis; Gregory A Worrell
Journal:  J Neural Eng       Date:  2017-01-04       Impact factor: 5.379

  2 in total

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