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Comparison of manual sleep staging with automated neural network-based analysis in clinical practice

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Abstract

We have compared sleep staging by an automated neural network (ANN) system, BioSleep™ (Oxford BioSignals) and a human scorer using the Rechtschaffen and Kales scoring system. Sleep study recordings from 114 patients with suspected obstructed sleep apnoea syndrome (OSA) were analysed by ANN and by a blinded human scorer. We also examined human scorer reliability by calculating the agreement between the index scorer and a second independent blinded scorer for 28 of the 114 studies. For each study, we built contingency tables on an epoch-by-epoch (30 s epochs) comparison basis. From these, we derived kappa (κ) coefficients for different combinations of sleep stages. The overall agreement of automatic and manual scoring for the 114 studies for the classification {wake | light-sleep | deep-sleep | REM} was poor (median κ=0.305) and only a little better (κ=0.449) for the crude {wake | sleep} distinction. For the subgroup of 28 randomly selected studies, the overall agreement of automatic and manual scoring was again relatively low (κ=0.331 for {wake | light-sleep | deep-sleep | REM} and κ=0.505 for {wake | sleep}), whereas inter-scorer reliability was higher (κ=0.641 for {wake | light-sleep | deep-sleep | REM} and κ=0.737 for {wake | sleep}). We conclude that such an ANN-based analysis system is not sufficiently accurate for sleep study analyses using the R&K classification system.

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Notes

  1. Tarassenko L, Braithwaite E. BioSleep analysis technique for the evaluation of sleep EEG, http://www.oxford-biosignals.com/admin/files/AASM_response.pdf

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Acknowledgements

We would like to thank Professor Janet Wilson and Mr. Mohamed Reda for recruiting the patients for this study.

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Correspondence to Michael J. Drinnan.

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Caffarel, J., Gibson, G.J., Harrison, J.P. et al. Comparison of manual sleep staging with automated neural network-based analysis in clinical practice. Med Bio Eng Comput 44, 105–110 (2006). https://doi.org/10.1007/s11517-005-0002-4

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  • DOI: https://doi.org/10.1007/s11517-005-0002-4

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