基于自相关模式的动态心电图RR间期数据处理方法的研究

目的：在动态心电图分析过程中,确定RR间期,对于分析心电信息起着非常重要的作用。但是,临床上,实际检测的记录中,不可避免地受到外界很多的干扰,由于这些干扰信息的存在,使得准确定位RR间期变得非常困难。本课题拟在干扰情况下,提取心电表达的最大信息,达到准确定位RR间期的目的。方法：本研究运用自相关模式数据处理方法有效地提升了主峰、次峰强度间的差别,从而为更好地判断RR间期以及埋藏在噪音之中的QRS波信息提供了可能的方法。结果：我们用了自相关模式数据处理的方法获得了以下信息：（1）对于干扰小的心电信息,主峰与次峰间的强度比值由2.7倍提升到7.7倍。（2）对于干扰大的心电信息,即那些主峰已经被现有Holter处理软件及医生人工判断都认为不可以使用的数据,因为这些数据主峰强度明显小于次峰强度（主峰/次峰〈1）,经过我们的方法处理后,可以使主峰强度与次峰强度之比提升到1.5（主峰/次峰〉1.5）,从而使得RR间期可以进行清晰分辨。结论：在心电信息受到干扰的情况下,它的RR间期很难判断,运用本研究使用的自相关模式数据处理方法,能够提升动态心电图中主峰与次峰的强度比值,提高人工判断RR间期的准确性。所以,基于自相关模式的动态心电图RR间期数据处理方法是行之有效的。     

纳龙心电信息系统及微信在院前急救中的应用研究

目的分析纳龙心电信息系统与微信在院前急救中的应用效果。方法选取2017年4月～2018年9月我院急诊科出诊救治需行心电图检查的100例患者使用车载心电图机进行12或18导联心电图检查,并经微信上传至相关微信群及纳龙心电信息系统将12导联心电图传输至院内中央服务器,记录应用微信及纳龙心电信息系统传输心电图信息的效果,并进行分析。结果本组患者中,75例患者主要表现为心血管系统症状,占比75%;83例患者出现心律失常及心电图改变,占比83%。微信与纳龙心电信息系统传输心电图成功率比较,差异无统计学意义(P0.05);但纳龙心电信息系统传输心电图信息时间较微信短,心电图信息保存时间较微信长,心电图信息辨识度较微信高,差异均有统计学意义(P0.05)。结论院前急救应用纳龙心电信息系统较微信更能适应院外条件,可较好的完成院外至院内的信息传输,院内接受到信息的辨识度为100%,且接收及时,可作为院内急诊医生对院前患者病情判断及提供救治指导的依据,使患者获得理想的院外治疗,缩短救治时间,促进院外与院内无缝对接完成。     

除草剂草甘膦异丙胺盐水剂对中华大蟾蜍心电活动的影响

采用生物信号采集处理系统对草甘膦异丙胺盐胁迫条件下中华大蟾蜍(BufogargarizansCantor)的心率和心电活动的相关指标进行了测定和分析。不同浓度的草甘膦异丙胺盐溶液被喷施到中华大蟾蜍的体表,由皮肤进入体内而作用于心脏。试验结果表明:随着草甘膦异丙胺盐处理浓度的增大,中华大蟾蜍的心率减慢,心电图中P波、R波和T波的电压峰值降低,而P-R间期、QRS期和Q-T间期的时值延长。草甘膦异丙胺盐胁迫条件下,蟾蜍心率与心电图的各项指标有显著相关性,可用多元线性回归模型分别对蟾蜍心率与心电图中P、R、T波和P-R、QRS、Q-T间期的相关关系进行拟合。多元回归分析结果表明,蟾蜍心电图中Q-T间期值对心率的影响最大,可以推断草甘膦异丙胺盐主要是通过延长蟾蜍心电活动周期中Q-T间期时值即心室收缩期而延长心动周期,导致蟾蜍心率减慢。由此可见草甘膦异丙胺盐水剂的喷施对中华大蟾蜍心脏的电活动周期和机械活动周期均造成了一定影响。     

乙草胺对蟾蜍心电活动的影响

采用生物机能实验系统,对乙草胺胁迫条件下蟾蜍Bufo gargarizans的心率和心电活动的相关指标进行了测定和分析.试验结果表明,随着乙草胺处理浓度的增大,蟾蜍的心率减慢,心电图中P波、R波和T波的电压峰值降低,而P-R间期、QRS期和Q-T间期的时值延长.乙草胺胁迫条件下,蟾蜍心率与心电图的各项指标有显著相关性.由此可见,乙草胺的喷施对蟾蜍心电活动周期和机械活动周期均造成了一定影响.     

清醒状态昆明小鼠随日龄变化的心电图分析

目的研究不同日龄小鼠心电图变化规律,进行初步分析,为小鼠正常及疾病状态下心功能研究提供参考。方法采用标准双极肢体导联(Ⅰ,Ⅱ,Ⅲ)和加压肢体导联(aVR,aVL,aVF),对非麻醉状态的309只不同日龄昆明小鼠行心电图分析。结果记录正常昆明小鼠的心电图参数及形态。心律为窦性心律,平均心率(428.96±93.62)(254～789)次/min。平均RR间期在小鼠1、7、14日龄到成年,从1日龄的(138.89±3.85)ms降到7日龄的(116.75±5.48)ms,14日龄的(109.22±5.06)ms。在14、21、28、35、60日龄小鼠心电图RR间期与1日龄相比均有统计学差异(14、21、28、35日龄、成年小鼠R-R间期差异无统计学意义)。平均PR,QRS,QT,JT间期随着小鼠日龄的增长呈进行性缩短。平均Q-T间期从(46.66±3.56)ms(1日龄)减少到(40.40±3.46)ms(7日龄),(28.22±1.92)ms(14日龄)。14、21、28、35日龄,成年小鼠和1日龄相比差异均有统计学意义(14、21、28、35日龄、成年小鼠Q-T间期差异无统计学意义)。1日龄小鼠的J-S-T段抬高明显,14日龄明显降低,35日龄接近基线甚至消失,类似成年小鼠心电图。结论昆明小鼠随日龄的心电图变化可为评价小鼠心脏的发育及药物干预对心电信号的影响提供一定的参考。     

24小时动态心电图检查在起搏器植入心律失常诊断中应用价值分析

目的:分析24 h动态心电图检查在起搏器植入心律失常诊断中的应用价值。方法:选择2013年2月～2016年1月于医院接受起搏器植入术治疗的60例患者作为研究对象,均采用常规12导联及24 h动态心电图进行检查,比较两种不同检查方法对心律失常的诊断价值。结果:①24 h动态心电图对心室过感知、心房感知不良、心室感知不良检出率均高于12导联心电图(P0.05)。②24 h动态心电图心律失常总检出率明显高于12导联心电图(P0.05)。③24 h动态心电图HRV时域指标24 h内所有正常R-R间期标准差(SDNN)、24 h内相邻正常R-R间期之差均方根值(RMSDD)、全程每5 min时间段R-R间期均值标准差(SDANN)均高于12导联心电图(P0.05)。结论:24 h动态心电图对起搏器植入术后起搏功能异常、感知功能异常及心律失常检出率高,且对心率变异性诊断相对敏感,对起搏器植入心律失常诊断的临床应用价值较12导联心电图更高。     

一种基于小波变换的心电去噪算法

目的:去除心电信号采集过程中混入的工频干扰、肌电干扰和基线漂移等噪声信号,并能有效的保留心电特征信息.方法:通过小波变换将含噪的心电信号分解并重构得到不同尺度下的细节信号,在中小尺度上选取不同的门限值,并在QRS波群信息多的尺度上计算获得信息窗,对该尺度的信息窗内外采用不同的门限处理方式,在大尺度上直接重构出要去除的基线信息.结果:采用MIT/BIH Arrhythmia Database中的数据对算法进行了仿真验证,实现了三种主要干扰的去除,较好的保留了心电特征信息.结论:本方法效果较好,为后续的特征点识别奠定了基础.     

阿莫西林胶囊的检验分析

目的:对阿莫西林胶囊进行有关物质检验,全面提高用药安全性有效性。方法:对上海美优制药、广州白云山制药、四川蜀中制药集团三家生产厂家生产的阿莫西林胶囊进行物质检验。结果:上述三家生产厂家生产的阿莫西林胶囊,单个杂质峰面积不超过2倍对照溶液主峰面;各杂质峰面积和不超过5被对照溶液主峰面积,其有关物质检查均符合国家相关规定。结论:加强药物检验,研究药物检验标准,对于提高药物安全性有重要作用。     

水稻病毒的吸收光谱和荧光光谱

本文报导水稻簇矮病毒(RBSV),水稻矮缩病毒(RDV),水稻东格鲁病毒(RTV),水稻齿矮病毒(RRSV)和水稻草矮病毒(RGSV)等的吸收光谱和荧光光谱.结果表明:不同病毒有不同的吸收光谱带和荧光光谱带.它包括主峰,各次峰及其轮廓.通过不同相对强度的光谱,可以判断其浓度.这些光谱可以反映病毒的某些结构信息.同时通过光谱也可以鉴别水稻病毒的类型.     

基于小波变换的心电信号去噪综合算法

目的：研究去除心电信号中的基线漂移、工频干扰和肌电干扰等噪声,提高心电信号的自动识别和诊断精度。方法：利用Coif4小波对心电信号进行8尺度分解,采用小波分解重构法去除基线漂移,然后利用改进的小波闽值算法去除工频干扰和肌电干扰。结果：利用Matlab仿真工具,选择MIT-BIH心率失常数据库中信号进行验证,能有效去除这三种噪声,并且很好的保持R波的信息。结论：本算法在不丢失心电信号有用信息的前提下,可以较好的去除三种常见的噪声,可以用于心电信号自动分析之前的预处理。     

Alternating-Site Mechanism of Kinesin-1 Characterized by Single-Molecule FRET Using Fluorescent ATP Analogues

Kinesin-1 motor proteins move along microtubules in repetitive steps of 8 nm at the expense of ATP. To determine nucleotide dwell times during these processive runs, we used a Förster resonance energy transfer method at the single-molecule level that detects nucleotide binding to kinesin motor heads. We show that the fluorescent ATP analog used produces processive motility with kinetic parameters altered <2.5-fold compared with normal ATP. Using our confocal fluorescence kinesin motility assay, we obtained fluorescence intensity time traces that we then analyzed using autocorrelation techniques, yielding a time resolution of ∼1 ms for the intensity fluctuations due to fluorescent nucleotide binding and release. To compare these experimental autocorrelation curves with kinetic models, we used Monte-Carlo simulations. We find that the experimental data can only be described satisfactorily on the basis of models assuming an alternating-site mechanism, thus supporting the view that kinesin's two motor domains hydrolyze ATP and step in a sequential way.     

Statistical features of impulse trains in cat's lateral geniculate neurons

The spontaneous discharges which recorded extracellularly from cells in the lateral geniculate nucleus (LGN) of a cat were classified into the following 3 main groups depending upon the shapes of their interval histograms and autocorrelation functions: the gamma type whose interval histogram is fitted by a gamma distribution function and whose autocorrelation function has some periodic property which damps down within about several 10 ms, the burst type whose interval histogram has a peak in the first bin (less than 8 ms) and whose autocorrelation function has a large positive peak within several msec, and the multimodal type whose interval histogram has a complex shape with three or more peaks and whose autocorrelation function has a periodic property. Each type of spontaneous discharge seems to be inherent at scotopic and mesopic backgrounds, and the cells whose spontaneous discharges are the gamma type, the burst type, and the multimodal type are called here a gamma cell, burst cell, and the multimodal cell, respectively. Gamma cells are subdivided into X- and Y-cells (gamma-X and gamma-Y cells), but burst cells are all Y-cells and multimodal cells observed up to now are all X-cells. It is clear that these various types of cells are distributed significantly differently in each lamina. All the cells that we found up to now in lamina A were either burst cells or multimodal cells, but every type of cell was found in lamina A1. The majority of cells in lamina C were the gamma type. In most cases, the peak values of the PST histograms of gamma-Y cells (especially, on-center cells) are larger than those of burst cells. These results suggest that Y-cells projecting to area 17 from laminae A and A1 are the burst type, and Y-cells projecting to area 18 from laminae C and A1 are the gamma-Y type.     

Effects of whole body vibration on muscle contractile properties in exercise induced muscle damaged females

Determining muscle contractile properties following exercise is critical in understanding neuromuscular function. Following high intensity training, individuals often experience exercise induced muscle damage (EIMD). The purpose of this investigation was to determine the effect of whole-body vibration (WBV) on muscle contractile properties following EIMD. Twenty-seven females volunteered for 7 sessions and were randomly assigned to a treatment or control group. Muscle contractile properties were assessed via voluntary torque (VT), peak twitch torque (TT), time to reach peak torque, half relaxation time of twitch torque, percent activation (%ACT), rate of rise (RR), rate of decline (RD), mean and peak electromyography during maximum voluntary isometric contraction. Two testing sets were collected each day, consisting of pre measures followed by WBV or control and post measures. A mixed factor analysis of variance was conducted for each variable. %ACT measures found baseline being less than day 1 in both measures in the control group. TT was found to be greater in the control group compared to WBV group. TT and VT baseline measures were greater than all other time points. RR showed control group had higher values than WBV group. These results indicate that WBV following EIMD had some positive effects on muscle contractile properties.     

Spectral and Coherent Analysis of the Relationship between Pulse Wave Forms in the Carotid Artery and Heart Rate

The purpose of this study was the assessment of the parameters of pulse waves in the carotid artery and their relationships with baroreflex-controlled heart rate variability. The early systolic peak (ESP) is closely connected with the filling of the carotid artery, whereas the late systolic peak (LSP) shows the amplitude of the wave reflected from the periphery and affects arterial pressure oscillations activating baroreceptors and changing the heart rate (HR). A cardiac rhythmogram and pulse pressure waves in the carotid artery were continuously recorded for 5 min. ESP and LSP amplitudes (in ml/l) were evaluated in each wave. Patients with coronary artery disease and healthy subjects were examined. Spectrum analysis and assessment of the coherent function between RR intervals, the ESP, and the LSP in the middle frequency band were performed. In healthy subjects, the amplitude of the ESP was higher than that of the LSP, whereas, in patients, the LSP amplitude surpassed that of the ESP. The LSP/ESP ratio was significantly higher in patients, indicating that artery dilation depended more on the reflected wave than on the primary wave. The study revealed that age had the most pronounced effect on the LSP/ESP ratio. Healthy subjects showed the highest age-dependent coherence between the RR interval and the ESP amplitude, whereas in patients this coherence was significantly lower. Measurement of the ESP and LSP amplitudes and their ratio allowed evaluation of vasomotor artery tone. Age and disease produced the maximum effects on the artery tone and decreased the correlation between the changes in the artery tone and the HR in the baroreflex range of frequency regulation.     

An Improved Method with High Anti-interference Ability for R Peak Detection in Wearable Devices

The rapid development of the wearable electrocardiogram monitoring equipment increases the requirements for R peak detection in wearable devices. An improved method called ISC algorithm is proposed with high anti-interference ability for R peak detection in wearable devices based on a simple basic algorithm called SC algorithm. The proposed method is characterized by using the updated amplitude selection threshold, updated slope comparison threshold and RR interval judgement to reduce false positives and false negatives. For data from MIT-BIH Arrhythmia Database, the positive predictivity P+ of ISC algorithm can reach 99.12%, and the sensitivity Se of ISC algorithm is more than 95%. For MIT-BIH Noise Stress Test Database, the accuracy of ISC algorithm for both sensitivity Se and positive predictivity P+ can exceed 94% under three common noise, baseline wander, muscle artifact, and electrode motion artifact, where the positive predictivity P+ of ISC algorithm is 44.46% higher than that of SC algorithm on average. For wearable devices in exercise, even under the exercise intensity of 7 km per hour, the average positive predictivity P+ of ISC algorithm is 99.32%, which is 60.93% higher than that of SC algorithm. The high anti-interference ability shows that ISC algorithm is suitable for R peak detection in wearable devices.     

Assessment of appropriate species-specific time intervals to integrate GPS telemetry data in ecological niche models

Ecological niche models use presence-only data, which is often affected by lack of true absences leading to sampling bias. Over the last decade, there has been an uptick in the integration of occurrence data from global positioning systems telemetry data in ecological niche models and/or species distribution models. These data types can be affected by serial autocorrelation at high relocation frequencies yet have been used in ecological niche models using geographic filters and subsampling techniques. Yet, no study to date has attempted to discern a method to identify the appropriate time interval for a particular species if integrating GPS telemetry occurrence data in a MaxEnt framework. We demonstrate a rigorous spatial technique using a robust contemporary dataset from ocelots (Leopardus pardalis) to assess the appropriate time intervals to use in a species-specific ecological niche model. We assessed a range of daily time intervals (every 0.5, 1–4, 6, 8, and 12 h) commonly used in teresstrial mammalian carnivore studies. We observed the predictive performance of shorter time intervals every 2 h was comparable to much longer intervals every 12 h. These shorter intervals under/overestimated the least amount of data compared to 12 h. This study demonstrates that by accounting for serial autocorrelation and conducting rigorous spatial analyses, scientists can identify the appropriate time interval to integrate GPS telemetry data use in ecological niche models in MaxEnt. These results can also be transferable across highly mobile terrestrial taxa at different spatial scales, which can help inform species management or conservation strategies.     

A circadian rhythm in heart rate variability contributes to the increased cardiac sympathovagal response to awakening in the morning

Morning hours are associated with a heightened risk of adverse cardiovascular events. Recent evidence suggests that the sleep-wake cycle and endogenous circadian system modulate cardiac function in humans and may contribute to these epidemiological findings. The aim of the present study was to investigate the interaction between circadian and sleep-wake-dependent processes on heart rate variability (HRV). Fifteen diurnally active healthy young adults underwent a 72-h ultradian sleep-wake cycle (USW) procedure (alternating 60-min wake episodes in dim light and 60-min nap opportunities in total darkness) in time isolation. The present study revealed a significant main effect of sleep-wake-dependent and circadian processes on cardiac rhythmicity, as well as a significant interaction between these processes. Turning the lights off was associated with a rapid increase in mean RR interval and cardiac parasympathetic modulation (high-frequency [HF] power), whereas low-frequency (LF) power and sympathovagal balance (LF:HF ratio) were reduced (p?≤?.001). A significant circadian rhythm in mean RR interval and HRV components was observed throughout the wake and nap episodes (p?≤?.001). Sleep-to-wake transitions occurring in the morning were associated with maximal shifts towards sympathetic autonomic activation as compared to those occurring during the rest of the day. Namely, peak LF:HF ratio was observed in the morning, coincidental with peak salivary cortisol levels. These results contribute to our understanding of the observed increase in cardiovascular vulnerability after awakening in the morning.     

A Monte Carlo evaluation of five interval estimators for the relative risk in sparse data

The relative risk (RR) is one of the most frequently used indices to measure the strength of association between a disease and a risk factor in etiological studies or the efficacy of an experimental treatment in clinical trials. In this paper, we concentrate attention on interval estimation of RR for sparse data, in which we have only a few patients per stratum, but a moderate or large number of strata. We consider five asymptotic interval estimators for RR, including a weighted least-squares (WLS) interval estimator with an ad hoc adjustment procedure for sparse data, an interval estimator proposed elsewhere for rare events, an interval estimator based on the Mantel-Haenszel (MH) estimator with a logarithmic transformation, an interval estimator calculated from a quadratic equation, and an interval estimator derived from the ratio estimator with a logarithmic transformation. On the basis of Monte Carlo simulations, we evaluate and compare the performance of these five interval estimators in a variety of situations. We note that, except for the cases in which the underlying common RR across strata is around 1, using the WLS interval estimator with the adjustment procedure for sparse data can be misleading. We note further that using the interval estimator suggested elsewhere for rare events tends to be conservative and hence leads to loss of efficiency. We find that the other three interval estimators can consistently perform well even when the mean number of patients for a given treatment is approximately 3 patients per stratum and the number of strata is as small as 20. Finally, we use a mortality data set comparing two chemotherapy treatments in patients with multiple myeloma to illustrate the use of the estimators discussed in this paper.     

Spatial autocorrelation in biology 1. Methodology

Spatial autocorrelation analysis tests whether the observed value of a nominal, ordinal, or interval variable at one locality is independent of values of the variable at neighbouring localities. The computation of autocorrelation coefficients for nominal, ordinal, and for interval data is illustrated, together with appropriate significance tests. The method is extended to include the computation of correlograms for spatial autocorrelation. These show the autocorrelation coefficient as a function of distance between pairs of localities being considered, and summarize the patterns of geographic variation exhibited by the response surface of any given variable.
Autocorrelation analysis is applied to microgeographic variation of allozyme frequencies in the snail Helix aspersa. Differences in variational patterns in two city blocks are interpreted.
The inferences that can be drawn from correlograms are discussed and illustrated with the aid of some artificially generated patterns. Computational formulae, expected values and standard errors are furnished in two appendices.