GE Medical Systems China GE marquette医疗系统的前身是marquette Electronics,Inc.成立于1965年,因成功地为芝加哥西北大学医学院(Northwestern University Medical School)建立了中央心电诊断管理系统而确立了其在医疗技术领域的领...GE Medical Systems China GE marquette医疗系统的前身是marquette Electronics,Inc.成立于1965年,因成功地为芝加哥西北大学医学院(Northwestern University Medical School)建立了中央心电诊断管理系统而确立了其在医疗技术领域的领先地位.1996年,麦克电子更名为麦克医疗系统,是生产心脏测试、心电监护以及临床信息管理系统的多元化公司,并在医疗工业的信息存储、回顾和网络管理方面成为市场领导者.展开更多
The article presents the results of recent investigations into Holter monitoring of ECG, using non-linear analysis methods. This paper discusses one of the modern methods of time series analysis--a method of determini...The article presents the results of recent investigations into Holter monitoring of ECG, using non-linear analysis methods. This paper discusses one of the modern methods of time series analysis--a method of deterministic chaos theory. It involves the transition from study of the characteristics of the signal to the investigation of metric （and probabilistic） properties of the reconstructed attractor of the signal. It is shown that one of the most precise characteristics of the functional state of biological systems is the dynamical trend of correlation dimension and entropy of the reconstructed attractor. On the basis of this it is suggested that a complex programming apparatus be created for calculating these characteristics on line. A similar programming product is being created now with the support of RFBR. The first results of the working program, its adjustment, and further development, are also considered in the article.展开更多
文摘GE Medical Systems China GE marquette医疗系统的前身是marquette Electronics,Inc.成立于1965年,因成功地为芝加哥西北大学医学院(Northwestern University Medical School)建立了中央心电诊断管理系统而确立了其在医疗技术领域的领先地位.1996年,麦克电子更名为麦克医疗系统,是生产心脏测试、心电监护以及临床信息管理系统的多元化公司,并在医疗工业的信息存储、回顾和网络管理方面成为市场领导者.
文摘The article presents the results of recent investigations into Holter monitoring of ECG, using non-linear analysis methods. This paper discusses one of the modern methods of time series analysis--a method of deterministic chaos theory. It involves the transition from study of the characteristics of the signal to the investigation of metric （and probabilistic） properties of the reconstructed attractor of the signal. It is shown that one of the most precise characteristics of the functional state of biological systems is the dynamical trend of correlation dimension and entropy of the reconstructed attractor. On the basis of this it is suggested that a complex programming apparatus be created for calculating these characteristics on line. A similar programming product is being created now with the support of RFBR. The first results of the working program, its adjustment, and further development, are also considered in the article.
