Non-invasive continuous blood pressure measurement based on mean impact value method, BP neural network, and genetic algorithm.BACKGROUND
 To address the shortcomings of existing blood pressure measurement models based on pulse wave transit time or pulse wave parameters, a new method of non-invasive continuous blood pressure measurement - the GA-MIV-BP neural network model - is presented.


 These factors are used as inputs, and the actual blood pressure values as outputs, to train the BP neural network model.  The individual parameters are then optimized using a genetic algorithm (GA) to establish the GA-MIV-BP neural network model.



BP neural network
Non-invasive continuous blood pressure measurement based on mean impact value method, BP neural network, and genetic algorithm.BACKGROUND
 The individual parameters are then optimized using a genetic algorithm (GA) to establish the GA-MIV-BP neural network model.



genetic algorithm