Background Elimination in Wound Infection by Electronic Nose Based on Adaptive Noise Cancellation System and Genetic Algorithm

Abstract

when electronic nose (E-nose) is used to diagnose the wound infection of mice, there exists strong background interference which reduces the accuracy of the E-nose. An adaptive noise cancellation system (ANCs) based on adaptive filters is introduced into denoising the wound infection data, and the genetic algorithm (GA) is used to reduce the redundancy of the Multi-channel data. The method using ANCs combined with GA has achieved good performance, and the accuracy of LRLS-GA is 100% with less calculated amount.