Premature ventricular beats recognition based on optoelectronic reservoir computing
The optoelectronic reservoir computing system based on delayed-feedback structure is a kind of analog optical signal processing system with simple-software and simple-hardware design.If it is successfully applied to the real-time recognition of ventricular premature beats,it is of great significance for the effective prevention and early treatment of ECG diseases.In this paper,an optoelectronic reservoir computing model was established using a Mach-Zundel modulator with an optoelectronic feedback loop,and the ventricular premature beat electrocardiogram was rec-ognized.The key parameters of the model were analyzed and optimized.For example,the effects of feedback strengthβ,input gain γ,number of virtual nodes N on electrocardiogram recognition were analyzed.The best recognition nor-malized mean square error(NMSE)was 0.080 9,the best recognition rate was 94％,and the sensitivity was 94.9％.The results indicate that the optoelectronic reservoir computing system exhibits a good performance in ventricular pre-mature beats recognition,and simplifies the complexity of current electrocardiogram recognition algorithms.
NETL
NSTL
万方数据
