Research On Flexible Non-Contact Electrophysiological Signal Detection Technology

Chronic diseases have become the main cause of death of urban and rural residents in China.Nearly 300 million people have been diagnosed with chronic diseases in China,which is mainly reflected in the functional impairment of important organs such as brain,heart and kidney,affecting labor ability and quality of life.With the change of lifestyle,the incidence of chronic diseases has been increasing rapidly and becoming younger in recent years.Human physiological signals such as ECG and EEG are rich in human physiological information and reflect various physiological conditions.They have long been widely used in clinical diagnosis and scientific research in disease diagnosis and pathological research.Therefore,real-time detection and analysis of physiological electrical signals can accurately analyze the status of various organs in the body in advance,realize the early detection,early prevention,early treatment and rehabilitation management of related chronic diseases,and can greatly improve the quality of life of patients,and reduce the Mortality caused by chronic diseases.The electrode used for traditional physiological signal detection is bulky,needs to be in contact with human skin and must be coated with conductive paste.It can only be used in specific situations and is not conducive to real-time,rapid,and mobile detection of physiological signals.In view of the deficiency of the existing physiological signal detection electrodes,this paper proposes a low-load physiological electrical signal detection technology and designs a flexible non-contact electrode that can be used to achieve noncontact of human physiological electrical signals across hair and even clothing.Measurement,simple operation,convenient use,and no burden on the subject,provide a new method for long-term low-load monitoring of physiological electrical signals.In this study,three kinds of electrodes with different structures were fabricated,and the electrode structure was optimized through experiments.A flexible non-contact electrode was realized.The non-contact electrode is based on the principle of capacitive coupling,and the metal electro-sensing layer of the electrode is used to couple human physiological electrical signals through the equivalent capacitor between the skin and the electrode.Because it does not require direct contact with the skin,it overcomes the shortcomings of traditional wet electrodes in portable and long-term measurements.The relevant experiments were designed to test the non-contact electrode performance,and the effects of insulation layer parameters on non-contact electrode signal acquisition were discussed.The relevant experimental research and analysis were designed based on two factors of different insulation layer materials and insulation layer thickness.Optimal conditions for contact ECG signal detection.A series of experimental studies were carried out on the improved non-contact electrodes of the hard plate and the soft plate,and the feasibility and stability of the flexible non-contact electrode proposed in this paper were verified by comparing with the standard wet electrode measurement waveforms.From the experimental results,compared with the traditional electrode technology,the flexible non-contact detection technology can obtain a physiological electrical signal that is highly consistent with the standard wet electrode without directly contacting the subject's skin.According to the characteristics of the flexible non-contact electrode,the corresponding signal acquisition module and WIFI data wireless transmission module were designed.The interaction interface was designed based on MATLAB and a flexible non-contact physiological electrical signal measurement system was constructed.The electrical signals picked up by the non-contact electrodes are sampled by the signal acquisition module,and the obtained signals are communicated with the computer through the WIFI module.The computer realizes real-time signal acquisition,display,original data storage and offline data analysis through MATLAB software programming.The technology is convenient to use in the measurement process,simple in operation,and free from the burden of the experimental process,providing a technical basis for the subject's portable,low-load and real-time monitoring of physiological electrical signals.