Interpersonal Synchronization of Heart Rate Variability in Communication
نویسندگان
چکیده
منابع مشابه
تغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
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translation as a comunicative process is always said to be associated with various aspects of meaning loss or gain. subtitling as a mode of translating, due to special discoursal and textual conditions imposed upon it, is believed to be an obvious case of this loss or gain. presenting the spoken sound track of a film in writing and synchronizing the perception of this text by the viewers with...
15 صفحه اولPhase Synchronization analysis of Heart Rate Variability and Systolic Blood Pressure Variability under Postural Stress
In this paper, the coupling between heart rate variability (HRV) and systolic blood pressure variability is analyzed using a non-linear measure called phase synchronization index (PSI). 20 healthy subjects alongwith 20 post myocardial patients undergong postural stress were used for analysis. The results were validated on standard EuroBaVar dataset. Results demonstrate that i) for healthy subje...
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Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...
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ژورنال
عنوان ژورنال: The Proceedings of the Annual Convention of the Japanese Psychological Association
سال: 2017
ISSN: 2433-7609
DOI: 10.4992/pacjpa.81.0_2a-035