Heart rate variability: Highlights from hidden signals
نویسندگان
چکیده
منابع مشابه
Hidden Signals—The History and Methods of Heart Rate Variability
The understanding of heart rate variability (HRV) has increased parallel with the development of modern physiology. Discovered probably first in 1847 by Ludwig, clinical applications evolved in the second part of the twentieth century. Today HRV is mostly used in cardiology and research settings. In general, HRV can be measured over shorter (e.g., 5-10 min) or longer (12 or 24 h) periods. Since...
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 کاملExtracting Blink Rate Variability from EEG Signals
Generally, blinks are treated on equal with artifacts and noise while analyzing EEG signals. However, blinks carry important information about mental processes and thus it is important to detect blinks accurately. The aim of the presented study is to propose a blink detection method and discuss its application for extracting blink rate variability, a novel concept that might shed some light on ...
متن کاملExtracting and analyzing sub-signals in heart rate variability.
A new statistical signal processing method, which was called independent component analysis (ICA) was used to extract sub-signals of heart rate variability (HRV). Ten healthy volunteers (4F, 6M) were involved in this study. Electrocardiogram (ECG) recording was consisted of 6min when the volunteer was lying and another 6min when the volunteer was standing. HRV was extracted from ECG. According ...
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ژورنال
عنوان ژورنال: Journal of Integrative Cardiology
سال: 2018
ISSN: 2058-3702
DOI: 10.15761/jic.1000258