Pressure guide wire temperature compensation method of improved Particle Swarm Optimization neural network

Abstract

The invention discloses a pressure guide wire temperature compensation method of an improved Particle Swarm Optimization neural network. The method includes the following main steps: collecting pressure guide wire output voltage and parameters related to the environment where a pressure guide wire is, and performing normalization processing on data; building a three-layer front feedback neural network model having an error back propagation capability; utilizing improved Particle Swarm Optimization (PSO) to optimize the weight and threshold value of the built neural network; training the neural network after the weight and threshold value are optimized; and utilizing the neural network model obtained by training to perform temperature compensation on pressure guide wire measured data. The pressure guide wire temperature compensation method of the improved PSO neural network utilizes the improved PSO neural network algorithm to build a pressure guide wire measurement inverse model, the trained model is high in compensation precision, generalization ability and stability, and the defects that a Back Propagation (BP) neural network is easy to fall into local optimum and a standard PSO BP neural network is easy to skip global optimum are overcome.

Description

technical field [0001] The invention belongs to the field of medical sensors, and relates to an ultra-miniature pressure sensor temperature compensation technology for medical pressure guide wires, in particular to a pressure guide wire temperature compensation method using particle swarm optimization neural network. Background technique [0002] In recent years, fractional flow reserve (FFR) has become the "gold standard" for diagnosing coronary artery stenosis in humans. As the core component of FFR measurement, the pressure guide wire directly affects the measurement results of FFR. The pressure guide wire enters the blood vessels of the human body from the arteries of the lower extremities or the lumbar arteries, and is guided to the coronary artery stenosis with angiography technology. The ultra-miniature pressure sensor at the far end of the pressure guide wire measures the blood pressure at both ends of the stenosis, and then calculates the FFR value. However, due t...

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Problems solved by technology

[0005] The invention solves the shortcomings of the existing software compensation algorithm: it provides an improved particle swarm optimization neural network pressure guide wire temperature compensation method, and balances the global optimization and local optimization capabilities of the particle swarm algorithm by adjusting the inertia weight of the particles in real time , improve the global optimization ability, stability and generalization ability of the BP neural network, and finally achieve the purpose of improving the nonlinear compensation accuracy of the pressure guide wire

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