Real-time heart rate parameter analysis based on artificial neural networks

The issues of real-time heart rate analysis based on artificial neural network device are given. The system to convert and process cardiorhythmogram biomedical signals based on artificial neural networks on FPGA has been developed. The advantage of the system in comparison with similar ones is the introduction of neural network time-frequency cardiorhythmogram signal parameters converter into the code instead of the convertor based on rigid logic as well as the introduction of neural network cardiorhythmogram signal processing unit. The system is realized in VHDL hardware description language for FPGA. Its modeling in Altera Quartus II environment is made.