Research on High-precision and High-speed Bioimpedance Spectroscopy Detection Method for Tumour Identification

Objective Cancer is a global public health issue that has attracted much attention. Detecting and treating cancer at an earlier time point is the key to improving cancer survival rates. However, due to factors such as high equipment cost, slow detection speed, and poor detection accuracy, the promotion of early cancer screening is limited. Therefore, this paper proposes a high-precision and high-speed bioimpedance spectroscopy detection method for tumor identification based on multi-frequency synchronous bioimpedance spectroscopy technology. Methods First, based on the multi-frequency synchronization technology, this paper built a multi- frequency synchronous bioimpedance spectrum detection system, realized the high-speed detection of bioimpedance spectrum, designed concentric circle sensors to reduce the influence of biological tissue anisotropy on impedance detection, and improved the discrimination of bioimpedance spectrum between different tissues. Secondly, a gastric wall tissue model was established, and the degree of anisotropy influence on traditional four- electrode sensors and concentric circle sensors was studied through simulation. Finally, through pork tissue detection experiments and clinical gastric cancer tissue detection experiments, it was verified that the multi- frequency synchronous bioimpedance spectroscopy detection system using concentric circle sensors has higher detection accuracy. Results The experimental results show that when using concentric circle sensors, the average overlap rate of detection results is 13.4%, which is 41.7% lower than that of traditional electrodes, and the average discrete coefficient (Cv) is 7.6%, which is 54.0% lower than that of traditional electrodes. The multi- frequency synchronous bioimpedance spectrum detection system takes about 20 ms to perform a detection, and the detection method proposed in this paper has higher detection accuracy and detection speed. Finally, the concentric circle electrodes were selected to conduct clinical experiments on human gastric cancer tissue, and normal tissue and tumor tissue were successfully distinguished. Conclusion The high-precision and high-speed bioimpedance spectroscopy detection method for tumor identification proposed in this paper can effectively reduce the influence of anisotropy of biological tissues and obtain higher-precision and higher-speed detection results.