Signal Processing Methods for Heart Rate Variability
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چکیده
منابع مشابه
Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm
Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...
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...
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...
متن کاملHeart-Brain Coherence; Heart-Rate Variability (HRV); Reading Anxiety; TestEdge Program
Based on psychophysiological research, coherent heart-brain interaction can change afferent cardiac signal pattern sent to the brain. Accordingly, the present study aimed at facilitating the emotion-cognition interaction through HeartMath Institute self-regulated emotional techniques to investigate the efficacy of heart-brain coherence on reading anxiety reduction that significantly enhances at...
متن کاملDoppler Radar Architectures and Signal Processing for Heart Rate Extraction
In this paper heartbeat interval extraction methods using Doppler radar are reviewed. While single channel CW radar offers simple architecture and signal processing, this method is very sensitive to subject position. Quadrature radio architecture is used to overcome this limitation. The use of linear and non-linear demodulation methods was explored for heartbeat interval extraction, and it was ...
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تاریخ انتشار 1998