Dual approach for automated sleep spindles detection within EEG background activity in infant polysomnograms

An automated system for sleep spindles detection within EEG background activity, combining two different approaches, is presented. The first approach applies detection criteria on the sigma-band filtered EEG signal, including fuzzy thresholds. The second approach mimics an expert's procedure. A sleep spindle detection is validated if both approaches agree. The method was applied on a testing set, consisting of continuous sleep recordings of two patients, totaling 1132 epochs (pages). A total of 803 sleep spindles events were marked by the experts. Results showed an 87.7% agreement between the detection system and the medical experts.

[1]  M. Ferrara,et al.  Sleep spindles: an overview. , 2003, Sleep medicine reviews.

[2]  P. Estévez,et al.  Polysomnographic pattern recognition for automated classification of sleep-waking states in infants , 2006, Medical and Biological Engineering and Computing.

[3]  J. Born,et al.  Learning-Dependent Increases in Sleep Spindle Density , 2002, The Journal of Neuroscience.

[4]  K. Crowley,et al.  The effects of normal aging on sleep spindle and K-complex production , 2002, Clinical Neurophysiology.

[5]  Kemal Leblebicioglu,et al.  Sleep spindles detection using short time Fourier transform and neural networks , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[6]  R. Horne,et al.  Effect of infant sleeping position on sleep spindles , 2003, Journal of sleep research.

[7]  A. Rechtschaffen.  A manual of Standardized Terminology , 1968 .

[8]  C.A. Holzmann,et al.  Classification of sleep stages in infants: a neuro fuzzy approach , 2002, IEEE Engineering in Medicine and Biology Magazine.

[9]  P. Peirano,et al.  Effect of early human malnutrition on waking and sleep organization. , 1989, Early human development.

[10]  Mark C. Jones.  PRINCIPLES AND PRACTICE OF SLEEP MEDICINE , 1990 .

[11]  W R Jankel,et al.  Sleep Spindles , 1985, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[12]  M. Kryger,et al.  Principles and Practice of Sleep Medicine in the Child , 1995 .

[13]  M. Carskadon,et al.  Chapter 2 - Normal Human Sleep : An Overview , 2005 .

[14]  L Curzi-Dascalova,et al.  Modulation of motor activity patterns and sleep states in low-risk prematurely born infants reaching normal term: a comparison with full-term newborns. , 1995, Neuropediatrics.

[15]  E. Wolpert.  A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .

[16]  M. Lehtokangas,et al.  Optimization of sigma amplitude threshold in sleep spindle detection , 2000, Journal of sleep research.

[17]  Max Hirshkowitz,et al.  Normal human sleep: an overview. , 2004, The Medical clinics of North America.

[18]  Mingui Sun,et al.  Characterization of sleep spindles using higher order statistics and spectra , 2000, IEEE Transactions on Biomedical Engineering.

[19]  R. Sclabassi,et al.  Computer classification of state in healthy preterm neonates. , 1997, Sleep.