Detection And Analysis Of Skin Resistance And Its Application In Autonomic Nerve Function Assessment

The autonomic nervous system is an important neural control network to maintain human physiological balance.Its functional state determines the health level of the body.If the autonomic nervous system is in disorder,it will lead to various physiological diseases,such as insomnia,palpitation and even cerebral infarction.In order to ensure the normal operation of the autonomic nervous system,it is necessary to detect and evaluate its state scientifically.Skin resistance is a neglected biological signal with important physio logical significance.Compared with the existing physiological indicators,skin resistance data is easy to obtain,the detection process is non-invasive,and the results are intuitive.Because the skin resistance of the human palm is only related to the activity of the sympathetic nerve in the autonomic nervous system.Therefore,it was selected as an indicator for evaluating sympathetic nervous system function.Based on the above principles,a skin resistance detection system is built,which can be used by hospital doctors and efficient laboratories.It realizes the continuous collection of skin resistance signals and multi-dimensional analysis of data.The detection platform is composed of two parts.The former includes the measurement of resistance and the continuous acquisition of signals.The software part is mainly composed of the acquisition board software and the PC software.The system collects data and plots the numerical fluctuation in real time,so that users can see the change at any time.After the measurement is finished,it is stored in time for subsequent analysis.The collected skin resistance signal is smoothed and filtered,then processed statistically,and processed in time domain,frequency domain and time-frequency joint domain to obtain multi-dimensional signals.The mean and variance of skin resistance signal can roughly reflect whether the human body deviates from the normal level,which can be used for disease screening.The fluctuation in the time domain can reflect the mental state of the human body in the experiment.The position of the spectral line in the frequency domain can be used to observe the excited state of the human sympathetic nerve.The spectral map in the time and frequency domain can comprehensively reflect the corresponding relationship in the two domains.The common results of the three can guide how to regulate the autonomic nervous system through external means.On the basis of the established system and the mature data analysis algorithm,this paper designs and completes the abdominal breathing experiment to verify the reliability of skin resistance as an evaluation index of autonomic nervous function and explore the influence of abdominal breathing on skin resistance.During the experiment,abdominal breathing with different frequencies was performed,and the data were collected and analyzed.Meanwhile,the results of the experiment lasting for 8 weeks were compared.The results show that:the skin resistance signal can qualitatively characterize the human sympathetic nerve excitability,when the sympathetic nerve excitability increases,the skin resistance value will decrease to a certain extent.Compared with free-breathing,abdominal breathing is beneficial to inhibit sympathetic excitability.Increasing the duration of a single breath can further reduce sympathetic excitability,and this inhibitory effect does not disappear immediately with the end of the experiment,but has a certain continuity.This continuity determines that long-term abdominal breathing training can effectively inhibit sympathetic nerve excitation,thus realizing the regulation of the autonomic nerve.