Research on bionic pulsation of axial flow blood pump based on LSTM

Abstract:

The micro axial blood pump is one of the most commonly used ventricular assist devices in clinical practice. The axial flow blood pump bionic pulsation device was built to solve the problem that the constant flow assistance does not meet the characteristics of the natural heart. In addition, the long short term memory (LSTM) neural network is used to predict the beating period to improve the synchronization accuracy of the device, aim at overcoming the shortcoming of detection delay and control delay in micro axial blood pump. The root mean square error of the prediction models on the training set and test set is 8.29 and 5.33, respectively. Finally, the conclusion and error analysis are carried out, and the feasibility of the axial flow pump in the synchronous bionic pulsatility is proved.