Frequency analysis based on synchrosqueezed wavelet transforms of brain and heart rhythms in cases of cerebral vascular pathology

Vadim Titov, O. Dick
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Abstract

Introduction: The analysis of interrelationships between the bioelectric activity of the brain and heart is one of the topical issues in modern neuroscience. Special attention of researchers in this area is attracted by the study of these interrelationships in cases of cerebral vascular pathology. Purpose: The use of synchrosqueezed wavelet transforms to measure the relationship between the rhythms of the brain and heart in cases of vascular pathology of varying severity before and during hyperventilation load. Results: The analysis of instantaneous frequencies has been carried out in the low-frequency components of an electroencephalogram and the RR interval time series extracted from the electrocardiogram of patients with vascular pathology of varying severity before and during hyperventilation. The research shows that the time when a correlation between instantaneous frequencies of the infra-slow oscillations of an electroencephalogram and the RR interval time series occurs is related to the degree of severity of cerebral vascular pathology. It has been found that the greater the severity of the vascular pathology of the brain, the faster a correlation occurs between instantaneous frequencies in the low-frequency components of an electroencephalogram and heart rate variability. Practical relevance: The discovered peculiarities of the frequency interrelationships between the rhythms of the brain and heart during hyperventilation may be useful for the search of neurophysiological correlates of the degree of severity of cerebral vascular pathology.
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基于同步压缩小波变换的脑血管病心脑节律频率分析
引言:分析大脑和心脏的生物电活动之间的相互关系是现代神经科学的热点问题之一。在脑血管病理病例中对这些相互关系的研究引起了该领域研究人员的特别关注。目的:在过度换气负荷之前和期间,使用同步压缩小波变换来测量不同严重程度的血管病理病例中大脑和心脏节律之间的关系。结果:对不同严重程度血管病变患者在过度换气前和换气过程中的脑电图低频分量和从心电图中提取的RR间期时间序列进行了瞬时频率分析。研究表明,脑电图慢振荡的瞬时频率与RR间期时间序列之间出现相关性的时间与脑血管病理的严重程度有关。已经发现,大脑的血管病理越严重,脑电图低频分量的瞬时频率与心率变异性之间的相关性就越快。实际相关性:在过度换气期间发现的大脑和心脏节律之间频率相互关系的特点可能有助于寻找脑血管病理严重程度的神经生理学相关性。
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来源期刊
Informatsionno-Upravliaiushchie Sistemy
Informatsionno-Upravliaiushchie Sistemy Mathematics-Control and Optimization
CiteScore
1.40
自引率
0.00%
发文量
35
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