Performance of an Automated Polysomnography Scoring System Versus Computer-Assisted Manual Scoring | Zendy

Atul Malhotra | Zendy; Magdy Younes | Zendy; Samuel T. Kuna | Zendy; Ruth M. Benca | Zendy; Clete A. Kushida | Zendy; James A. Walsh | Zendy; Alexandra L. Hanlon | Zendy; Bethany Staley | Zendy; Allan I Pack | Zendy; Grace W. Pien | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Performance of an Automated Polysomnography Scoring System Versus Computer-Assisted Manual Scoring

Author(s) -

Atul Malhotra,

Magdy Younes,

Samuel T. Kuna,

Ruth M. Benca,

Clete A. Kushida,

James A. Walsh,

Alexandra L. Hanlon,

Bethany Staley,

Allan I Pack,

Grace W. Pien

Publication year - 2013

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.5665/sleep.2548

Subject(s) - polysomnography , intraclass correlation , sleep medicine , technician , scoring system , medicine , computer science , apnea , sleep disorder , psychometrics , surgery , clinical psychology , cognition , psychiatry , electrical engineering , engineering

Manual scoring of polysomnograms (PSG) is labor intensive and has considerable variance between scorers. Automation of scoring could reduce cost and improve reproducibility. The purpose of this study was to compare a new automated scoring system (YST-Limited, Winnipeg, Canada) with computer-assisted manual scoring.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research