The 67th JSAP Spring Meeting 2020

Presentation information

Oral presentation

12 Organic Molecules and Bioelectronics » 12.7 Biomedical Engineering and Biochips

[13a-A408-1~12] 12.7 Biomedical Engineering and Biochips

Fri. Mar 13, 2020 9:00 AM - 12:15 PM A408 (6-408)

Shigeyasu Uno(Ritsumeikan Univ.), Hiroaki Takehara(Univ. of Tokyo)

11:00 AM - 11:15 AM

[13a-A408-8] Time Domain Average Stochastic Resonance System for Magnetocardiographic Detection at Room Temperature

Zhiqiang Liao1, Akihiro Kuwahata1, Masaki Sekino1, Hitoshi Tabata1 (1.Univ. of Tokyo)

Keywords:Stochastic resonance, time-domain average method, MCG detection

Magnetocardiogram (MCG) is a magnetic field that may have advantages in some cases, including the measurement of the electrical activity of the fetal heart. The detection of MCG need superconducting quantum interference magnetometer, which incur high equipment and operational costs, especially the purchase of liquid helium. In order to reduce the cost and make the MCG be measured at room temperature, many different sensors have been researched, and a lot of progress has been made. But the detection effect of all kinds of sensors is still limited by the sensitivity of themselves. In this study, we focused on improving the overall detection performance of the system from the part of signal processing by stochastic resonance method. Stochastic resonance refers to a situation where the mere addition of random noise to the dynamics improves a system’s sensitivity to discriminate weak information-carrying signals. As a non-linear signal processing method, the characteristics of utilizing noise to amplify useful signals even in the case of spectrum overlap makes SR method become an effective method to reduce the noise in weak magnetic field detection. In this research, we will first propose a magnetocardiography system based on stochastic resonance. In order to verify the effectiveness of the proposed system, we use the rats to verify the function of the proposed system in MCG and do performance comparison with other traditional signal processing methods in MCG detection system.