Personalized sleep staging system using evolutionary algorithm and symbolic fusion

This paper presents a novel system for automatic sleep staging based on evolutionary technique and symbolic intelligence. Proposed system mimics decision making process of clinical sleep staging using Symbolic Fusion and considers personal singularity with an adaptive thresholds setting up system using Evolutionary Algorithm. It proved to be an effective and promising system in personalizing sleep staging. This system can also be integrated with other medical systems to realize remote sleep monitoring or home-care.

[1]  Thomas Penzel,et al.  Inter-scorer reliability between sleep centers can teach us what to improve in the scoring rules. , 2013, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[2]  David B. Fogel,et al.  Evolutionary Computation: A New Transactions , 1997, IEEE Trans. Evol. Comput..

[3]  Sun K. Yoo,et al.  Genetic fuzzy classifier for sleep stage identification , 2010, Comput. Biol. Medicine.

[4]  C. D'Ambrosio,et al.  Quality of life in patients with obstructive sleep apnea: effect of nasal continuous positive airway pressure--a prospective study. , 1999, Chest.

[5]  Atul Malhotra,et al.  Agreement in computer-assisted manual scoring of polysomnograms across sleep centers. , 2013, Sleep.

[6]  N. Punjabi.  The epidemiology of adult obstructive sleep apnea. , 2008, Proceedings of the American Thoracic Society.

[7]  Terry Young,et al.  Association of sleep-disordered breathing and the occurrence of stroke. , 2005, American journal of respiratory and critical care medicine.

[8]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[9]  David B. Fogel,et al.  The Advantages of Evolutionary Computation , 1997, BCEC.

[10]  Jean-Gabriel Ganascia,et al.  How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosis , 2011, AIME.

[11]  Belur V. Dasarathy,et al.  Sensor fusion potential exploitation-innovative architectures and illustrative applications , 1997, Proc. IEEE.

[12]  G. Clark,et al.  Prevalence and impact of sleep disorders and sleep habits in the United States , 2010, Sleep and Breathing.