A. N. Hramkov, E. Borovkova, Elizaveta S. Dubinkina, V. Ponomarenko, Yurii M. Ishbulatov, M. Prokhorov
{"title":"A system for diagnosing the psychophysiological state of a person based on the control of nonlinear characteristics of cardiorespiratory interaction","authors":"A. N. Hramkov, E. Borovkova, Elizaveta S. Dubinkina, V. Ponomarenko, Yurii M. Ishbulatov, M. Prokhorov","doi":"10.1109/DCNA56428.2022.9923174","DOIUrl":null,"url":null,"abstract":"Purpose of the work is to study changes in the characteristics of cardiorespiratory interaction for diagnosing changes in the psychophysiological state of a person. We analyzed the records of 30 healthy subjects aged 18 to 24 years. The values of the average time interval between heart contractions, the specific phase coherence of respiratory signals and RR-intervals were evaluated in the work. As a result, it was shown that the coherence of respiration signals and RR intervals changes during stress tests, and the methods used in the work can be used to create a stress diagnostic system.","PeriodicalId":110836,"journal":{"name":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCNA56428.2022.9923174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of the work is to study changes in the characteristics of cardiorespiratory interaction for diagnosing changes in the psychophysiological state of a person. We analyzed the records of 30 healthy subjects aged 18 to 24 years. The values of the average time interval between heart contractions, the specific phase coherence of respiratory signals and RR-intervals were evaluated in the work. As a result, it was shown that the coherence of respiration signals and RR intervals changes during stress tests, and the methods used in the work can be used to create a stress diagnostic system.