Electrocardiosignal adaptive nonlocal means filtering method based on particle swarm optimization

The invention discloses an electrocardiosignal adaptive nonlocal means filtering method based on particle swarm optimization. The method comprises the following steps of: (1) performing nonlocal means filtering on an original electrocardiosignal in order to obtain a filtered result; (2) adaptively determining two key parameters of each signal point i in the nonlocal means filtering method by means of particle swarm optimization, wherein the two key parameters include an attenuation parameter and a search window; and (3) performing nonlocal means filtering on an original electrocardiosignal by using the two parameters adaptively determined by the two parameters in order to obtain a final noise-reduced signal.