索引于
  • 学术期刊数据库
  • 打开 J 门
  • Genamics 期刊搜索
  • 期刊目录
  • 中国知网(CNKI)
  • 西马戈
  • 乌尔里希的期刊目录
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-WorldCat
  • 普布隆斯
  • 米亚尔
  • 大学教育资助委员会
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • 谷歌学术
分享此页面

抽象的

Comprehensive Biotechnical System for Screening Risk-Based Diagnosis of COVID-19 and Post-COVID Syndrome

Vladimir Savostyanov*, Alexander Kobelev, Ivan Kudashov

At present, there is no hardware or biochemical systems allow assessing the severity of post-COVID syndrome in vivo. The hardware of the proposed biotechnical system is based on routine transthoracic electrical impedance rheography, which makes it possible to register the frequency characteristics of the patient’s bioimped-ance response to controlled stress stimulation, thereby simultaneously fixing the characteristics of his productive heart, the state of the hemomicrocirculatory bed, the efficiency of the gas transport function of his blood, and also reliably assess personal reactivity and adaptive potential. Subsequent mathematical approximation of the obtained biometric data by an original neural network makes it possible to rank the results obtained and automatically generate a program of medical rehabilitation for a particular patient, depending on the severity of his post-COVID syndrome. The study results proved two reliable physiological signs confirming the presence of latent post-COVID Complications: A decrease in the base impedance value for light exercise and an increase in the length of the systolic arc of the rheocardiogram.