A novel system that mimics visual decision making process of clinical sleep staging, with an approach based on American Academy of Sleep Medicine guidelines
Market challenges:
Sleep staging is a fundamental step in diagnosis and treatment of sleep disorders. However, it is a time-consuming and tedious task, which has to be performed by medical experts.
Hypnograms (graphs that represent the stages of sleep as a function of time) are usually obtained by visually scoring the recordings from electroencephalogram, electrooculography and electromyography. The data is heterogeneous as there is a multiplicity of physiological parameters recorded at night (using a wired connection which may be a source of disturbance for the patient’s sleep) and rules of interpretation (on the basis of the American Academy of Sleep Medicine – AASM - textbook).
There is a need for integrating and analyzing information from heterogeneous data sources with high accuracy in order to be able to automatically read hypnograms.
Innovative solution:
The solution is a novel system that mimics visual decision making process of clinical sleep staging using symbolic fusion and an evolutionary algorithm (for adaptive thresholds), with an approach based on AASM guidelines.
Suggested applications:
Competitive advantages: