Research on Harmonic Detection Algorithm Based on Magnetic Nanoparticles

Abstract

In the magnetic nanoparticles hyperthermia, the temperature real-time feedback is the key factor for thermal therapy to treat cancer. But the measuring accuracy of harmonic amplitude determines the accuracy of temperature. At present, the traditional method for harmonic amplitude detection, there is low precision, time-consuming and other issues, seriously affect the magnetic nanoparticles hyperthermia in the medical field of application and promotion. In order to overcome the difficulty, this paper proposes a method to extract the amplitude of harmonic signals using the digital average orthogonal algorithm. The above method describes the principle of amplitude measurement of digital averaging orthogonal algorithm, and deeply studies its detection and filtering characteristics. With the operation of filtering the harmonic components, the magnetization of the magnetic nanoparticles was simulated in the temperature range of 310K to 325K. The simulation results show that the amplitude measurement value is compared with the theoretical value, which has higher amplitude measurement accuracy and faster convergence speed.