BACKGROUND & AIMS: AIMS:To characterize patients with cardiac amyloidosis using echocardiography, electrocardiogram (ECG) and right heart catheterization (RHC). METHODS AND RESULTS:Fourteen patients with biopsy verified light chain or transthyretin cardiac amyloidosis were included. All patients had heart failure with markedly elevated NT-proBNP. Echocardiography demonstrated biventricular hypertrophy, left atrial enlargement and normal to slightly reduced left ventricular ejection fraction. Tissue Doppler septal é was low and median E/é was high. Within 6 months RHC was performed in eight of the patients. The restrictive filling pattern demonstrated by echocardiography corresponded well to median pulmonary wedge pressure (21 mmHg). Systolic pulmonary artery pressure (SPAP) was increased, whereas cardiac output and stroke volume were seen to be decreased with both methods. ECG demonstrated: low voltage (36%), abnormal R-progression (65%), ST-T abnormalities (71%) and high incidence of fibrillation (36%). In addition, a case report following the treatment of melphalan and dexamethasone is presented with improvement of hypertrophy, SPAP, left ventricular mass and é. CONCLUSION:These findings should lead to a suspicion of cardiac amyloidosis and suggest further investigation.

背景与目标： 目的：使用超声心动图，心电图（ECG）和右心导管检查（RHC）来表征患有心脏淀粉样变性的患者。
方法与结果：包括14例经活检证实为轻链或运甲状腺素蛋白心脏淀粉样变性的患者。所有患者均患有心力衰竭，NT-proBNP明显升高。超声心动图显示双心室肥大，左心房增大以及左心室射血分数正常至轻度降低。组织多普勒间隔é低，中位E /é高。在6个月内，对8位患者进行了RHC。超声心动图显示的限制性填充模式与中位肺楔形压（21 mmHg）很好对应。两种方法均使收缩期肺动脉压（SPAP）升高，而心输出量和中风量降低。心电图显示：低电压（36％），R进程异常（65％），ST-T异常（71％）和高颤动发生率（36％）。此外，治疗美法仑和地塞米松后的一例病例报告显示肥厚，SPAP，左心室质量和é改善。
结论：这些发现应引起对心脏淀粉样变性病的怀疑，并建议进一步研究。

BACKGROUND & AIMS: OBJECTIVES:Automatic detection of arrhythmias is important for diagnosis of heart problems. However, in ECG signals, there is significant variation of waveforms in both normal and abnormal beats. It is this phenomenon, which makes it difficult to analyse ECG signals. The aim of developing methodology is to distinguish between normal beats and abnormal beats in an ECG signal. METHODS:ECG signals were first decomposed using wavelet transform. The feature vectors were then extracted from these decomposed signals as normalised energy and entropy. To improve the classification of the feature vectors of normal and abnormal beats, the normal beats which occur before and after the abnormal beats were eliminated from the group of normal beats. RESULTS:With our proposed methods, the normal beats and abnormal beats formed different clusters of vector points. By eliminating normal beats which occur before and after the abnormal beats, the clusters of different types of beats showed more apparent separation. CONCLUSIONS:The combination of wavelet decomposition and the classification using feature vectors of the beats in ECG signals separate abnormal beats from normal beats. The elimination of the normal beats which occur before and after the abnormal beats succeeded in minimising the size of normal beats cluster.

背景与目标： 目的：心律失常的自动检测对于心脏问题的诊断很重要。但是，在ECG信号中，正常和异常心跳中的波形都有很大的变化。正是这种现象，使得难以分析ECG信号。开发方法的目的是在ECG信号中区分正常搏动和异常搏动。
方法：首先使用小波变换分解心电信号。然后从这些分解信号中提取特征向量，作为归一化能量和熵。为了改善正常节拍和异常节拍的特征向量的分类，从正常节拍的组中消除了在异常节拍之前和之后出现的正常节拍。
结果：利用我们提出的方法，正常心跳和异常心跳形成了不同的矢量点簇。通过消除出现在异常拍子之前和之后的正常拍子，不同类型拍子的簇表现出更明显的分离。
结论：小波分解和使用心电信号搏动特征向量的分类相结合，可以将异常搏动与正常搏动区分开。消除在异常拍子之前和之后发生的正常拍子成功地减小了正常拍子簇的大小。

BACKGROUND & AIMS: -2

背景与目标： -2

BACKGROUND & AIMS: BACKGROUND:An increase in local dispersion of repolarization (DOR) may contribute more to arrhythmogenesis as compared to changes of global DOR. The aim of this simulation study was to find ECG markers of local increase in DOR in conditions where global DOR remains normal. METHODS:In the framework of van Oosterom and Oostendorp ECGSIM model, the local DOR was increased in 10 different ventricular locations by (1) action potential duration (APD) shortening/lengthening both on epi- and endocardium, (2) epicardial APD shortening, and (3) endocardial APD shortening. The simulation cases where the increase in local DOR was accompanied by increase in global DOR were excluded from consideration. T-wave parameters were analyzed in the simulated precordial and anatomically ordered limb leads. RESULTS:The increase in local DOR resulted in increased lead-to‑lead differences in Tpeak and Tend instants in 28 out of 32 simulated scenarios, and in an increased dispersion of Tpeak-Tend interval throughout 12 standard leads in 8 out of 32 simulated scenarios. In all simulations, the global DOR measured as a difference between earliest and latest repolarization times and standard APD deviation was the same. CONCLUSIONS:The local increase in DOR was expressed in increased lead-to‑lead differences in Tpeak and Tend instants between adjacent anatomically ordered standard leads (aVL, I, aVR(-), II, aVF, III, and V1-V6), even if global DOR, Tpeak-Tend interval and Tpeak-Tend dispersion were within a normal range.

背景与目标： 背景：与整体DOR的变化相比，局部复极化（DOR）的增加可能对心律失常的贡献更大。这项模拟研究的目的是寻找在整体DOR保持正常的情况下DOR局部增加的ECG标记。
方法：在van Oosterom和Oostendorp ECGSIM模型的框架内，通过（1）心外膜和心内膜上的动作电位持续时间（APD）缩短/延长，（2）心外膜APD缩短，10个不同心室位置增加局部DOR。 （3）心内膜APD缩短。排除了局部DOR增加伴随整体DOR增加的模拟情况。在模拟的心前区和解剖学上有序的肢体导联中分析了T波参数。
结果：本地DOR的增加导致32个模拟场景中的28个模拟场景中Tpeak和Tend瞬间的铅对引线差异增加，并且Tpeak-Tend间隔在32个模拟场景中的8个在12条标准引线中的分散性增加。在所有模拟中，以最早和最新复极化时间与标准APD偏差之间的差异衡量的总体DOR相同。
结论：DOR的局部增加表现为相邻解剖学上有序的标准导线（aVL，I，aVR（-），II，aVF，III和V1-V6）之间的Tpeak和Tend瞬间铅对铅差异的增加，即使全局DOR，Tpeak-Tend间隔和Tpeak-Tend色散在正常范围内。

BACKGROUND & AIMS: :Myocardial infarction (MI) is among the leading causes of death in the United States. It is imperative to identify and characterize MIs for timely delivery of life-saving medical interventions. Cardiac electrical activity propagates in space and evolves over time. Traditional works focus on the analysis of time-domain ECG (e.g., 12-lead ECG) on the body surface for the detection of MIs, but tend to overlook spatiotemporal dynamics in the heart. Body surface potential mappings (BSPMs) provide high-resolution distribution of electric potentials over the entire torso, and therefore provide richer information than 12-lead ECG. However, BSPM are available on the body surface. Clinicians are in need of a closer look of the electric potentials in the heart to investigate cardiac pathology and optimize treatment strategies. In this paper, we applied the method of spatiotemporal inverse ECG (ST-iECG) modeling to map electrical potentials from the body surface to the heart, and then characterize the location and extent of MIs by investigating the reconstructed heart-surface electrograms. First, we investigate the impact of mesh resolution on the inverse ECG modeling. Second, we solve the inverse ECG problem and reconstruct heart-surface electrograms using the ST-iECG model. Finally, we propose a wavelet-clustering method to investigate the pathological behaviors of heart-surface electrograms, and thereby characterize the extent and location of MIs. The proposed methodology is evaluated and validated with real data of MIs from human subjects. Experimental results show that negative QRS waves in heart-surface electrograms indicate potential regions of MI, and the proposed ST-iECG model yields superior characterization results of MIs on the heart surface over existing methods.

背景与目标： ：心肌梗塞（MI）是美国的主要死亡原因之一。当务之急是识别和表征心梗，以及时提供挽救生命的医疗干预措施。心脏电活动在空间中传播并随时间发展。传统工作着重于分析体表上的时域心电图（例如12导联心电图）以检测心梗，但往往忽略了心脏的时空动态。体表电位映射（BSPM）可在整个躯干上提供高分辨率的电位分布，因此比12导联ECG可以提供更丰富的信息。但是，BSPM可以在体表上使用。临床医生需要仔细查看心脏中的电势，以研究心脏病理并优化治疗策略。在本文中，我们应用时空逆心电图（ST-iECG）建模方法来绘制从体表到心脏的电势，然后通过研究重建的心脏表面电描记图来描述MI的位置和范围。首先，我们研究了网格分辨率对反ECG建模的影响。其次，我们解决反心电图问题，并使用ST-iECG模型重建心脏表面电图。最后，我们提出了一种小波聚类方法来研究心脏表面电描记图的病理行为，从而表征心梗的程度和位置。利用来自人类受试者的MI的真实数据对提出的方法进行评估和验证。实验结果表明，心脏表面电描记图上的负QRS波指示了MI的潜在区域，与现有方法相比，所提出的ST-iECG模型在心脏表面产生了MI的更好的表征结果。

BACKGROUND & AIMS: :Background: Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular events. The electrocardiography (ECG) has poor sensitivity, but it is commonly used to detect LVH. AIM:To evaluate the diagnostic efficacy of known ECG indicators to recognize LVH in subgroups with different cardiovascular risk levels. Methods: 676 volunteers were included. RESULTS:We found that 10.2% of the analyzed population had LVH based on echocardiography. Individuals with LVH were older, had a higher body mass index, higher systolic blood pressure, lower heart rate, higher parameters of insulin resistance, higher cardiovascular risk, and android-type obesity. Variables that remained independently associated with LVH were QRS duration, left atrial volume index, troponin T, and hemoglobin A1c. The receiver operating characteristics (ROC) curve analysis of the Sokolow-Lyon index did not show a significant predictive ability to diagnose LVH in the whole study population including all cardiovascular risk classes. The ROC curves analysis of Cornell and Lewis indices showed a modest predictive ability to diagnose LVH in the general population and in a low cardiovascular class. CONCLUSIONS:There is a need for new, simple methods to diagnose LVH in the general population in order to properly evaluate cardiovascular risk and introduce optimal medical treatment of concomitant disease.

背景与目标： 背景：左心室肥大（LVH）是心血管事件的重要危险因素。心电图（ECG）灵敏度较差，但通常用于检测LVH。
目的：评估已知心电图指标在不同心血管风险水平亚组中识别LVH的诊断功效。方法：纳入676名志愿者。
结果：我们发现，根据超声心动图，所分析的人群中有10.2％患有LVH。 LVH患者年龄较大，体重指数较高，收缩压较高，心率较低，胰岛素抵抗参数较高，心血管疾病风险较高，机器人型肥胖。与LVH保持独立相关的变量包括QRS持续时间，左心房容积指数，肌钙蛋白T和血红蛋白A1c。 Sokolow-Lyon指数的接受者工作特征（ROC）曲线分析未显示出在包括所有心血管风险类别在内的整个研究人群中诊断LVH的显着预测能力。康奈尔和刘易斯指数的ROC曲线分析显示，在一般人群和低心血管疾病人群中，LVH诊断的预测能力中等。
结论：需要一种新的，简单的方法来诊断普通人群中的LVH，以正确评估心血管疾病的风险并引入伴随疾病的最佳药物治疗。

BACKGROUND & AIMS: :In the framework of the electrocardiography (ECG) signals, this paper describes an original approach to identify heartbeat morphologies and to detect R-wave events. The proposed approach is based on a "geometrical matching" rule evaluated using a decision function in a local moving-window procedure. The decision function is a normalized measurement of a similarity criterion comparing the windowed input signal with the reference beat-pattern into a nonlinear-curve space. A polynomial expansion model describes the reference pattern. For the curve space, an algebraic-fitting distance is built according to the canonical equation of the unit circle. The geometrical matching approach operates in two stages, i.e., training and detection ones. In the first stage, a learning-method based on genetic algorithms allows us estimating the decision function from training beat-pattern. In the second stage, a level-detection algorithm evaluates the decision function to establish the threshold of similarity between the reference pattern and the input signal. Finally, the findings for the MIT-BIH Arrhythmia Database present about 98% of sensitivity and 99% of positive predictivity for the R-waves detection, using low-order polynomial models.

背景与目标： 在心电图（ECG）信号的框架中，本文介绍了一种识别心跳形态和检测R波事件的原始方法。所提出的方法基于在本地移动窗口过程中使用决策函数评估的“几何匹配”规则。决策函数是相似性标准的归一化测量，它将加窗的输入信号与参考拍子模式比较成非线性曲线空间。多项式展开模型描述了参考模式。对于曲线空间，根据单位圆的正则方程建立代数拟合距离。几何匹配方法分为两个阶段，即训练和检测两个阶段。在第一阶段，基于遗传算法的学习方法使我们能够从训练节拍模式中估计决策函数。在第二阶段，电平检测算法评估决策函数，以建立参考模式与输入信号之间相似度的阈值。最后，使用低阶多项式模型，MIT-BIH心律失常数据库的发现显示R波检测的灵敏度约为98％，阳性预测值为99％。

BACKGROUND & AIMS: :Tea catechins, the main bioactive polyphenols in green tea, are well known for their health promoting effects. Previous studies have shown that gallocatechin-3-gallate (GCG), epigallocatechin-3-gallate (EGCG) and epicatechin-3-gallate (ECG) exerted strong inhibitory effects on mushroom tyrosinase activity in vitro, whilst EGCG inhibited melanogenesis in vivo, yet the underlying mechanisms are not entirely clear. In this study, we (i) evaluated and compared the inhibitory effects of the main tea catechins (GCG, EGCG, and ECG) on melanogenesis in B16F10 melanoma cells, and (ii) explain the underlying mechanisms. The results showed that the tea catechins significantly suppressed tyrosinase activity and melanin synthesis in B16F10 cells, where the effects of ECG > EGCG > GCG. Interestingly, the inhibitory effects of the catechins were stronger than those of arbutin (AT), a well-known depigmenting agent. Moreover, GCG, EGCG, and ECG regulated the melanogenesis of B16F10 cells through the cAMP/CREB/MITF pathway. These results revealed catechins could be used as anti-melanogenic agents to protect cells from abnormal melanogenesis.

背景与目标： 儿茶素是绿茶中的主要生物活性多酚，以其促进健康的作用而闻名。先前的研究表明，加洛儿茶素-3-没食子酸酯（GCG），表没食子儿茶素-3-没食子酸酯（EGCG）和表儿茶素-3-没食子酸酯（ECG）在体外对蘑菇酪氨酸酶活性具有很强的抑制作用，而EGCG却在体内抑制黑素生成。潜在的机制尚不完全清楚。在这项研究中，我们（i）评估并比较了主要茶儿茶素（GCG，EGCG和ECG）对B16F10黑色素瘤细胞中黑色素生成的抑制作用，并且（ii）解释了其潜在机制。结果表明，茶儿茶素能显着抑制B16F10细胞中的酪氨酸酶活性和黑色素合成，其中ECG> EGCG> GCG的作用。有趣的是，儿茶素的抑制作用比众所周知的色素去除剂熊果苷（AT）强。此外，GCG，EGCG和ECG通过cAMP / CREB ​​/ MITF途径调节B16F10细胞的黑色素生成。这些结果表明，儿茶素可以用作抗黑色素生成剂，以保护细胞免受异常黑色素生成的侵害。

BACKGROUND & AIMS: OBJECTIVE:We propose a non-invasive method for diagnosing post-capillary pulmonary hypertension (PH group 2). We evaluated pulmonary capillary wedge pressure (PCWP) by studying the left atrium (LA) on thoracic ECG-gated CT compared with right heart catheterisation (RHC). METHODS:We retrospectively studied 54 patients with suspected PH or followed for PH who underwent thoracic ECG-gated CT and RHC within 15 days. The diagnostic accuracy of CT morphological and functional data of the LA for the detection of PCWP >15 mmHg, evaluated by two independent readers, was assessed using correlation and receiver-operating characteristic (ROC) analysis. RESULTS:Interobserver agreement was high (r = 0.97-0.99). Correlations were found between PCWP and the morphological criteria of the LA such as anteroposterior diameter at 0 % of the R-R interval (r = 0.70, P ≤ 0.001) as well as at 40 % (r = 0.69, P ≤ 0.001). ROC curves constructed with a threshold value of PCWP > 15 mmHg showed an area under the curve between 0.88 and 0.91. Significant correlations were found between PCWP and functional criteria of the LA, including distensibility (r = -0.49, P ≤ 0.001) and ejection fraction (r = -0.58, P ≤ 0.001). CONCLUSION:Thoracic ECG-gated CT in a PH workup helps distinguish between pre- and post-capillary PH. KEY POINTS:• Computed tomography may help differentiate the various types of pulmonary hypertension (PH). • Post-capillary PH group 2 is due to left heart disease. • Right heart catheterisation is used to separate pre- and post-capillary PH. • Left atrium anteroposterior diameter measured on CT is of value. • ECG-gated CT helps clinicians to assess patients with PH non-invasively.

背景与目标： 目的：我们提出了一种非侵入性的方法来诊断毛细血管后肺动脉高压（PH 2组）。我们通过研究胸腔心电图CT上的左心房（LA）与右心导管（RHC）的比较来评估肺毛细血管楔压（PCWP）。
方法：我们回顾性研究了54例疑似PH或随访PH的患者，这些患者在15天内接受了胸部ECG门控CT和RHC检查。使用相关性和接收者操作特征（ROC）分析评估了两个独立阅读器评估的LA的CT形态学和功能数据对PCWP> 15 mmHg的诊断准确性。
结果：观察员之间的同意率很高（r = 0.97-0.99）。发现PCWP与LA的形态标准之间存在相关性，例如前后间隙在R-R间隔的0％（r = 0.70，P，≤0.001）和40％（r = 0.69，P≤0.001）时。用PCWP> 15 mmHg的阈值构建的ROC曲线显示曲线下的面积在0.88和0.91之间。发现PCWP与洛杉矶功能标准之间存在显着相关性，包括扩张性（r = -0.49，P≤0.001）和射血分数（r = -0.58，P≤0.001）。
结论：在胸腔镜检查中，胸心电门控CT有助于区分毛细血管扩张前后。
要点：•计算机断层扫描可能有助于区分各种类型的肺动脉高压（PH）。 •毛细血管后PH 2组归因于左心疾病。 •右心导管检查可用于分离毛细管前后的PH。 •CT测得的左心房前后直径很重要。 •ECG门控CT帮助临床医生无创地评估PH患者。

BACKGROUND & AIMS: OBJECTIVE:Because the International left atrial enlargement electrocardiographic (ECG) screening criteria (ECG-LAE) for athletes are rarely fulfilled in young athletes, we compared it with evidence-based criteria from a recent clinical outcome study of ECG left atrial abnormality (ECG-LAA). DESIGN:Retrospective analyses. SETTING:Routine preparticipation ECG screening in California. PARTICIPANTS:Four thousand four hundred thirty-eight young individuals (18.5 ± 5.4 years, 40% women). ASSESSMENT OF RISK FACTORS:The International criteria for ECG-LAE were applied: prolonged P wave duration of ≥120 ms in leads I or II AND negative portion of ≥1 mm in depth in lead V1. This was compared with Stanford criteria for ECG-LAA: prolonged P wave duration of ≥140 ms odds ratio (OR) negative portion in V1 and V2 greater than 1 mm. MAIN OUTCOME MEASURES:Differences in the classification of abnormal ECGs between the 2 criteria applied to the same population of young athletes. RESULTS:Only 33 (0.7%) of our subjects fulfilled the International criteria for ECG-LAE while 110 (2.5%) fulfilled the ECG-LAA criteria. Adding our new ECG-LAA criterion and considering it a major criterion raised the abnormal ECG prevalence and athletes referred for further evaluation from 2.9% to 4.4%. CONCLUSIONS:The Stanford evidence-based criterion for ECG-LAA incorporating V2 and replacing "or" for "and" regarding P wave duration increased the yield of abnormal classification for P waves. Future follow-up studies are needed to confirm that this new criterion should be included in future ECG screening consensus documents.

背景与目标： 目的：由于国际上很少针对年轻运动员满足运动员的国际左心房扩大心电图（ECG-LAE）筛查标准（ECG-LAE），因此，我们将其与最近进行的ECG左心室异常（ECG- LAA）。
设计：回顾性分析。
地点：加州常规的参与性心电图筛查。
参与者：448.38个年轻人（18.5±5.4岁，女性占40％）。
危险因素评估：采用ECG-LAE的国际标准：I或II导线延长P波持续时间≥120ms，V1导线深度≥1 mm负值。将此与ECG-LAA的斯坦福标准进行了比较：V1和V2中延长的P波持续时间≥140 ms比值比（OR）负部分大于1 mm。
主要观察指标：适用于同一年龄段年轻运动员的2项标准对异常心电图的分类存在差异。
结果：只有33（0.7％）名受试者符合ECG-LAA的国际标准，而110名（2.5％）符合ECG-LAA的国际标准。添加我们的新ECG-LAA标准并将其视为主要标准会提高异常心电图患病率，运动员转介进一步评估的比例从2.9％增至4.4％。
结论：斯坦福基于证据的ECG-LAA纳入V2并在P波持续时间上用“或”替换“和”的标准增加了P波异常分类的产生。需要进行进一步的随访研究，以确认该新标准应包括在未来的ECG筛查共识文件中。

BACKGROUND & AIMS: BACKGROUND:Globally, the cases of diabetes mellitus (diabetes) have increased in the past three decades, and it is recorded as one of the leading cause of death. This epidemic is a metabolic condition where the body cannot regulate blood glucose, thereby leading to abnormally high blood sugar. Genetic condition plays a significant role to determine a person susceptibility to the condition, a sedentary lifestyle and an unhealthy diet are behaviour that supports the current global epidemic. The complication that arises from diabetes includes loss of vision, peripheral neuropathy, cardiovascular complications and so on. Victims of this condition require constant monitoring of blood glucose which is done by the pricking of the finger. This procedure is painful, inconvenient and can lead to disease infection. Therefore, it is important to find a way to measure blood glucose non-invasively to minimize or eliminate the disadvantages encountered with the usual monitoring of blood glucose. METHOD:In this paper, we performed two experiments on 16 participants while electrocardiogram (ECG) data was continuously captured. In the first experiment, participants are required to consume 75 g of anhydrous glucose solution (oral glucose tolerance test) and the second experiment, no glucose solution was taken. We explored statistical and spectral analysis on HRV, HR, R-H, P-H, PRQ, QRS, QT, QTC and ST segments derived from ECG signal to investigate which segments should be considered for the possibility of achieving non-invasive blood glucose monitoring. In the statistical analysis, we examined the pattern of the data with the boxplot technique to reveal the change in the statistical properties of the data. Power spectral density estimation was adopted for the spectral analysis to show the frequency distribution of the data. RESULTS:HRV segment obtained a statistical score of 81% for decreasing pattern and HR segment have the same statistical score for increasing pattern among the participants in the first quartile, median and mean properties. While ST segment has a statistical score of 81% for decreasing pattern in the third quartile, QT segment has 81% for increasing pattern for the median. From a total change score of 6, ST, QT, PRQ, P-H, HR and HRV obtained 4, 5, 4, 5 and 6 respectively. For spectral analysis, HRV and HR segment scored 81 and 75% respectively. ST, QT, PRQ have 75, 62 and 68% respectively. CONCLUSIONS:The results obtained demonstrate that HR, HRV, PRQ, QT and ST segments under a normal, healthy condition are affected by glucose and should be considered for modelling a system to achieve the possibility of non-invasive blood glucose measurement with ECG.

背景与目标： 背景：在全球范围内，在过去的三十年中，糖尿病（糖尿病）的病例有所增加，被记录为主要的死亡原因之一。这种流行病是人体无法调节血糖从而导致异常高血糖的一种新陈代谢疾病。遗传病在确定人对疾病的易感性方面起着重要作用，久坐的生活方式和不健康的饮食是支持当前全球流行的行为。糖尿病引起的并发症包括视力丧失，周围神经病变，心血管并发症等。这种情况的受害者需要不断地监测血液中的血糖，这要通过刺破手指来完成。该过程是痛苦的，不便的并且可能导致疾病感染。因此，重要的是找到一种非侵入性地测量血糖的方法，以最小化或消除常规血糖监测中遇到的缺点。
方法：本文在连续捕获心电图（ECG）数据的同时对16名参与者进行了两个实验。在第一个实验中，要求参与者食用75微克无水葡萄糖溶液（口服葡萄糖耐量试验），而在第二个实验中，不服用葡萄糖溶液。我们探索了从心电图信号得出的HRV，HR，R-H，P-H，PRQ，QRS，QT，QTC和ST段的统计和频谱分析，以研究应考虑哪些段以实现无创血糖监测。在统计分析中，我们使用箱线图技术检查了数据的模式以揭示数据统计特性的变化。功率谱密度估计用于频谱分析，以显示数据的频率分布。
结果：在第一个四分位数，中位数和均值属性的参与者中，HRV区段的减少模式统计得分为81％，HR区段的增加模式统计得分相同。尽管ST段在第三个四分位数中减少模式的统计得分为81％，但QT段中位数在增加模式中的得分为81％。从总变化得分6中，ST，QT，PRQ，P-H，HR和HRV分别为4、5、4、5和6。对于频谱分析，HRV和HR得分分别为81和75％。 ST，QT和PRQ分别占75％，62％和68％。
结论：获得的结果表明，正常，健康条件下的HR，HRV，PRQ，QT和ST段受葡萄糖影响，应考虑为系统建模以实现使用ECG进行无创血糖测量的可能性。