一种统计复杂性测度及在心率变异信号分析中的应用

统计复杂性率量方法是作为结构或关联的一般性指示被提出来的。最近,Ｌｏｐｅｚ－Ｒｕｉｚ等提出一种称为ＣＬＭＣ的统计复杂性测度,满足在秩序和随机两个极端情况下测度为０的边界条件。Ｄａｖｉｄ详细研究了ＣＬＭＣ的特性,发现它既不是一个热力学集中变量也不是一个热力学扩张变量,并提出一种满足热力学扩张特性的补偿形式,但最后证明ＣＬＭＣ只是熵密度的普通解,不能作为结构测度。因此统计复杂性度量不仅应满足有序－随机     

基于高阶复杂性测度的心率变异信号分析

心率变异性反映了交感神经和迷走神经对心血管系统的综合调节作用,是评价心血管系统功能的重要指标。复杂度是描述时间信号序列信息量的一个重要参数,传统算法中的过分粗略化会丢失大量的有用信息,而高阶复杂度的引入可较大程度地避免这一问题。在利用Lorenz模型数据仿真的基础上,分别对25例正常人样本和25例充血性心力衰竭病人样本的心率变异信号的1～15阶Kolmogorov复杂度进行了计算,通过对比分析后确定,5阶Kolmogorov复杂度在临床医学上可以为分析心率变异信号获得更为理想的效果。     

清醒高血压大鼠心率变异分析的动物模型建立

目的：研究两种不同血浆肾素水平高血压大鼠心率变异的变化,进而探讨肾素。血管紧张素系统（RAS）影响心率变异（HRV）的机制。方法：制备两种高血压大鼠模型,采集其连续心电图数据。分析HRV的变化。并测定血浆血管紧张素Ⅱ（AngⅡ）的浓度。结果：肾性高血压大鼠血浆AngⅡ明显升高（P〈0．01）,心率变异频域指标中TP（总功率谱）、VLF（极低频功率）、LF（低频功率）和HF（高频功率）明显降低,LF／HF（低高频比）升高;DOCA-盐型高血压大鼠血浆AngⅡ水平明显降低,TP、VLF、LF和HF也明显降低。LF／HF比值升高。结论：两种不同血浆肾素水平的高血压大鼠交感和迷走神经均受损,同时交感神经活性相对占优势;提示肾素血管紧张素系统是通过脑内RAS的激活而影响HRV,不是循环RAS的外周作用。     

血管紧张素Ⅱ对家兔心率变异的影响

目的:研究血管紧张Ⅱ(AngⅡ)对家兔心率变异(HRV)影响的机制。方法:分别给家兔静脉输注生理盐水,AngⅡ,溴化六烃季胺(HEXB),HEXB+AngⅡ检测安静状态下连续5 min的心电图并进行HRV的时域和频域分析。结果:血管紧张素Ⅱ组的时域指标SDNN和RMSSD较对照组明显降低,频域指标低频(LF)升高,而高频(HF)和总功率(TP)明显降低;HEXB+AngⅡ组与HEXB组相比无明显区别。结论:交感神经阻断剂HEXB不能影响AngⅡ的作用,AngⅡ主要通过抑制中枢自主神经的传出,降低迷走神经张力来降低HRV。     

电刺激迷走神经对蟾蜍心率和心率变异的影响

目的:观察不同频率迷走神经刺激对蟾蜍离体心脏的心率及心率变异的影响。方法:将蟾蜍心脏和右侧迷走交感干离体后,以不同频率电刺激神经,记录心电图曲线并作心率变异性(HRV)分析。结果:交感神经阻断后,电刺激迷走交感干,心率(HR)显著下降(P0.01),全部正常心动周期的标准差(SDNN)和相邻正常心动周期差值的均方根(RMSSD)显著升高(P0.01),不同频率刺激组之间没有明显差异;与对照组相比,各指标变化较大;给药组0.2Hz时高频(HF)显著升高(P0.01),低频/高频比值(LF/HF)明显降低(P0.05),0.8Hz时HF和LF/HF接近刺激前水平。结论:一定范围内增加刺激频率,迷走神经降低心率的作用增强;没有交感神经调节条件下的迷走神经对心率和心率变异的调节可能存在不同的机制。     

基于估计熵确定心率变异信号中动力噪声强度

目前普遍的观点认为心率变异信号是确定性低维混沌系统产生的,同时该系统受到大量生理噪声的影响。研究了观测噪声和动力噪声对低维混沌系统的影响,提出了一种基于复杂性度量动力噪声强度刻划方法,表明随着动力噪声强度的增加,系统的复杂程度增加。该方法不需要对动力学系统完全重建,并对观测噪声具有一定鲁棒性。最后利用３类共５３只狗的心电图,每只狗的心电数据为１０００个Ｒ－Ｒ间期的微分序列检验了该算法。分析表明,估计出的动力噪声强度与不同的心脏功能状态相关联     

血管内皮祖细胞与糖尿病微血管病变研究进展

糖尿病微血管病变严重影响了患者生活质量,是患者致死致残主要原因。微血管病变主要表现在视网膜、肾、神经、心肌组织。微血管病变的机制尚未完全清楚,近年越来越多研究发现血管内皮祖细胞(endothelial progenitor cells,EPCs)是该病发病重要原因。EPCs有分化为成熟的内皮细胞并且参与新血管形成和新生的能力。正常情况下内皮损失和EPCs对内皮的修复作用处于动态平衡状态,一旦EPCs受损,内皮损害和修复之间的平衡被打破,内皮层的完整性遭到破坏,必然参与糖尿病血管病变的发生发展。国内外大量研究证明糖尿病合并大血管病变EPCs数目功能改变,而糖尿病合并微血管病变EPCs的怎样变化?本文就EPCs与糖尿病微血管病变的关系进行系统综述。     

正常人和无睡眠呼吸异常慢病患者睡眠期间的呼吸源性心率变异初步报告

目的:整体整合生理学医学新理论-呼吸循环代谢等系统一体化调控提出了呼吸为循环指标变异性起源的假说,我们对人睡眠期间的呼吸和心率变异分别分析,探索心率变异的起源.方法:本研究回顾性分析了2014年以来行心肺运动试验(CPET)、多导睡眠图(PSG)鼻气流和心电图监测的8例无疾病诊断的正常人和10例无睡眠呼吸异常的慢性疾病...     

胰岛素样生长因子与糖尿病神经病变

糖尿病神经病变给糖尿病患者造成严重危害,但其发生机制至今未明。最近研究表明：胰岛素样生长因子（ＩＧＦｓ）对感觉、运动及交感神经元具有支持营养作用;临床糖尿病患者及实验性糖尿病大鼠体内ＩＧＦｓ活性及ＩＧＦｓ ｍＲＮＡ表达水平下降;补充ＩＧＦｓ可减轻糖尿病神经损害程度。上述研究提示ＩＧＦｓ活性下降在糖尿病神经病变的发生中起重要作用。     

正常人和无睡眠呼吸异常慢病患者睡眠期间的呼吸源性心率变异初步报告*

目的: 整体整合生理学医学新理论-呼吸循环代谢等系统一体化调控提出了呼吸为循环指标变异性起源的假说,我们对人睡眠期间的呼吸和心率变异分别分析,探索心率变异的起源。方法: 本研究回顾性分析了2014年以来行心肺运动试验（CPET）、多导睡眠图（PSG）鼻气流和心电图监测的8例无疾病诊断的正常人和10例无睡眠呼吸异常的慢性疾病患者,分析夜晚睡眠期间鼻气流的呼吸周期与心电图R-R间期心率变异周期的关系。一个完整的呼吸周期包括吸气过程和紧接着的呼气过程,分析计算呼吸周期数、平均呼吸周期时间等指标。心率由心电图的R-R间期计算获得,连续一次心率由最低点上升至最高点,再由最高点下降至最低点,为一个心率变异周期,计算心率变异周期数、平均心率变异时间、心率变异平均幅度等指标。比较同一人呼吸和心率变异指标之间的相互关系,以及两组人群之间的异同。结果: 正常人峰值摄氧量、无氧阈等CPET核心指标均显著优于无睡眠呼吸异常的慢性疾病患者（P<0.05）。正常人AHI（（1.7±1.3）次/小时）和无睡眠呼吸异常慢性疾病患者AHI（（2.9±1.2）次/小时）无差异（P>0.05）。正常人呼吸周期数与心率变异周期数（（6581.63±1411.90）次、（6638.38±1459.46）次）、平均呼吸周期时间与平均心率变异周期时间（（4.19±0.57）s、（4.16±0.62）s）均高度一致,无差异（P>0.05）。无睡眠呼吸异常的慢性疾病患者上述指标比较（（7354.50±1443.50）次与（7291.20±1399.31）次、（4.20±0.69）s与（4.23±0.68）s）也是高度一致,无统计学差异（P>0.05）。正常人呼吸周期数/心率变异周期数（0.993±0.027）与无睡眠呼吸异常的慢性疾病患者呼吸周期数/心率变异周期数（1.008±0.024）比值均接近1。正常人心率变化平均幅度（（5.74±3.21） bpm）略高于无睡眠呼吸异常的慢性疾病患者（（2.88±1.44） bpm,P<0.05）。结论: 正常人和无睡眠呼吸异常的慢性疾病患者无论功能状态如何,心率变异与呼吸存在极其相似的一致性,其心率变异的始发因素均为呼吸所致。     

The association between cardiac autonomic neuropathy and heart function in type 2 diabetic patients

Abstract

Aim: Cardiac autonomic neuropathy (CAN) is a common and important chronic complication in diabetic patients. Heart failure resulting from cardiomyopathy is also a lethal complication in diabetic patients. However, data showing the exact association between CAN and heart failure in diabetic patients are relatively scarce. Therefore, our study aimed to determine the association between the parameters assessing CAN and heart function in diabetic patients.

Method: The medical records of type 2 diabetic patients who underwent an autonomic function test with heart rate variability (HRV) and echocardiography were reviewed from January 2018 to December 2018. A total of 100 type 2 diabetic patients were included, and the association between the parameters assessing CAN and heart function was analysed.

Results: Among the 100 analysed patients, 65 were diagnosed with CAN and 26 showed diastolic dysfunction. Moreover, 19 (73.1%) diabetic patients with diastolic dysfunction were complicated with CAN. The occurrence of diastolic dysfunction was higher in diabetic patients with CAN than in diabetic patients without CAN (29.2% vs 20.0%, p?<?0.05), and the occurrence of CAN was higher in diabetic patients with diastolic dysfunction than in patients without diastolic dysfunction (73.1% vs 62.2%, p?<?0.05). However, there were no significant associations between HRV parameters and heart function.

Conclusion: We demonstrated that diastolic dysfunction is more common in diabetic patients complicated with CAN than in diabetic patients without CAN, although several diabetic patients without diastolic dysfunction are also diagnosed with CAN. Moreover, further studies about the long-term serial monitoring of heart function according to the progression of CAN are required to confirm the exact association between CAN and heart function.     

Deterioration of autonomic neuronal receptor signaling and mechanisms intrinsic to heart pacemaker cells contribute to age‐associated alterations in heart rate variability in vivo

We aimed to determine how age‐associated changes in mechanisms extrinsic and intrinsic to pacemaker cells relate to basal beating interval variability (BIV) reduction in vivo. Beating intervals (BIs) were measured in aged (23–25 months) and adult (3–4 months) C57BL/6 male mice (i) via ECG in vivo during light anesthesia in the basal state, or in the presence of 0.5 mg mL^?1 atropine + 1 mg mL^?1 propranolol (in vivo intrinsic conditions), and (ii) via a surface electrogram, in intact isolated pacemaker tissue. BIV was quantified in both time and frequency domains using linear and nonlinear indices. Although the average basal BI did not significantly change with age under intrinsic conditions in vivo and in the intact isolated pacemaker tissue, the average BI was prolonged in advanced age. In vivo basal BIV indices were found to be reduced with age, but this reduction diminished in the intrinsic state. However, in pacemaker tissue BIV indices increased in advanced age vs. adults. In the isolated pacemaker tissue, the sensitivity of the average BI and BIV in response to autonomic receptor stimulation or activation of mechanisms intrinsic to pacemaker cells by broad‐spectrum phosphodiesterase inhibition declined in advanced age. Thus, changes in mechanisms intrinsic to pacemaker cells increase the average BIs and BIV in the mice of advanced age. Autonomic neural input to pacemaker tissue compensates for failure of molecular intrinsic mechanisms to preserve average BI. But this compensation reduces the BIV due to both the imbalance of autonomic neural input to the pacemaker cells and altered pacemaker cell responses to neural input.     

Genetic selection on a behavioural fear trait is associated with changes in heart rate variability in quail

This study investigated whether genetic selection on a divergent behavioural trait of fearfulness (tonic immobility duration) was related to changes in the nervous control of the heart. Quail selected for either long or short tonic immobility (LTI or STI, respectively) duration was compared with an unselected control line (CTI). The autonomic control of the heart was assessed by heart rate variability analysis and pharmacological blockades. Quail were surgically fitted with a telemetric device. Heart rate before injection did not differ between the three lines. The vagal-sympathetic effect (VSE) at rest differed significantly from 1 in CTI and STI quail, suggesting that parasympathetic activity was dominant. In LTI quail, VSE did not differ from 1, suggesting a balance between parasympathetic and sympathetic activities. The intrinsic heart rate reached after the successive injections of propranolol and atropine did not differ between lines and was higher than the heart rate at rest in STI, which was in line with results of VSE at rest. After atropine injection, the sympathetic activity indicated by the low-frequency power was lower in CTI than in the two selected quail. After propranolol injection, the parasympathetic activity indicated by the root of the mean squares of successive differences and the high-frequency power was higher in STI than in CTI and LTI quail. Selection on tonic immobility duration thus appears to be associated with changes in the sympathovagal control of the heart, which may influence behavioural responses to stressful situations.     

Welfare implication of measuring heart rate and heart rate variability in dairy cattle: literature review and conclusions for future research

Heart rate (HR) measurements have been used to determine stress in livestock species since the beginning of the 1970s. However, according to the latest studies in veterinary and behaviour–physiological sciences, heart rate variability (HRV) proved to be more precise for studying the activity of the autonomic nervous system. In dairy cattle, HR and HRV indices have been used to detect stress caused by routine management practices, pain or milking. This review provides the significance of HR and HRV measurements in dairy cattle by summarising current knowledge and research results in this area. First, the biological background and the interrelation of the autonomic regulation of cardiovascular function, stress, HR and HRV are discussed. Equipment and methodological approaches developed to measure interbeat intervals and estimate HRV in dairy cattle are described. The methods of HRV analysis in time, frequency and non-linear domains are also explained in detail emphasising their physiological background. Finally, the most important scientific results and potential possibilities for future research are presented.     

Association of salivary steroid hormones and their ratios with time-domain heart rate variability indices in healthy individuals

BackgroundStress system consists of the hypothalamicpituitary-adrenal (HPA) axis and the locus caeruleus/norepinephrine-autonomic nervous system (ANS). Traditionally, HPA axis activity is evaluated by measuring its end-product cortisol, while the activity of ANS is assessed using heart rate variability (HRV) indices. Alterations in cortisol levels and HRV measures during laboratory-based stress tasks were extensively studied in previous research. However, scarce data exist on the associations of HRV measures with the levels of other adrenal steroid hormones under baseline conditions. Thus, we aimed to evaluate the activity of the HPA axis by measuring salivary cortisol, cortisone, dehydroepiandrosterone (DHEA) levels, and their ratios and to examine its association with HRV measures in a sample of healthy young and middle-aged adults.MethodsFor each participant (n=40), three data collection sessions taking place at the same time of the day were scheduled within five working days. Participants completed a self-reported questionnaire on sociodemographic and lifestyle characteristics, filled out t h e Perceived Stress Scale and State-Trait Anxiety Inventory. Also, saliva samples were collected, and physiological measures, including resting HR and HRV, were recorded during three data collection sessions.ResultsStatistically significant associations between diminished parasympathetic vagal tone evaluated by time domain HRV measures and higher salivary cortisol, lower DHEA levels, as well as decreased DHEA to cortisol ratio, were found. Also, physiological stress indicators (i.e., HRV) showed greater intraindividual stability compared with biochemical biomarkers (i.e., salivary steroid hormones) within five days.ConclusionsOur findings suggest that both cortisol and DHEA mediate the link between two stress-sensitive homeostatic systems.     

The circadian rhythm of heart rate variability

Purpose: In recent years, the measurement of heart rate variability (HRV) has gained ground even outside research settings in everyday clinical and outpatient practice and in health promotion. Methods: Using the search terms “heart rate variability”, “hrv” and “circadian”, a systematic review was carried out in the PubMed database to find original work that analysed the course of HRV parameters over a 24-h period. Results: A total of 26 original studies were found. Almost all the studies detected a circadian rhythm for the HRV parameters analysed. HRV increased during the night in particular and a nighttime peak during the second half of the night was identified. Conclusions: HRV follows a circadian rhythm. But until today, there isn′t any possibility to make quantitative statements about changes over the course of the day for planning short-term measurements. More qualitative studies must be carried in order to close this knowledge gaps.     

An integrated diabetic index using heart rate variability signal features for diagnosis of diabetes

Electrocardiogram (ECG) signals are difficult to interpret, and clinicians must undertake a long training process to learn to diagnose diabetes from subtle abnormalities in these signals. To facilitate these diagnoses, we have developed a technique based on the heart rate variability signal obtained from ECG signals. This technique uses digital signal processing methods and, therefore, automates the detection of diabetes from ECG signals. In this paper, we describe the signal processing techniques that extract features from heart rate (HR) signals and present an analysis procedure that uses these features to diagnose diabetes. Through statistical analysis, we have identified the correlation dimension, Poincaré geometry properties (SD2), and recurrence plot properties (REC, DET, L _mean) as useful features. These features differentiate the HR data of diabetic patients from those of patients who do not have the illness, and have been validated by using the AdaBoost classifier with the perceptron weak learner (yielding a classification accuracy of 86%). We then developed a novel diabetic integrated index (DII) that is a combination of these nonlinear features. The DII indicates whether a particular HR signal was taken from a person with diabetes. This index aids the automatic detection of diabetes, thereby allowing a more objective assessment and freeing medical professionals for other tasks.     

Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis

Background  

Cardiac autonomic neuropathy (CAN) in diabetes has been called a "silent killer", because so few patients realize that they suffer from it, and yet its effect can be lethal. Early sub clinical detection of CAN and intervention are of prime importance for risk stratification in preventing sudden death due to silent myocardial infarction. This study presents the usefulness of heart rate variability (HRV) and complexity analyses from short term ECG recordings as a screening tool for CAN.