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Clinical Comparative Analysis of Dynamic Electrocardiogram and Routine Electrocardiogram in Diagnosis of Coronary Heart Disease
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作者 CAIQiulin 《外文科技期刊数据库(文摘版)医药卫生》 2022年第1期194-197,共4页
Objective: to analyze the clinical effect of dynamic electrocardiogram and traditional electrocardiogram in the diagnosis of coronary atherosclerosis. Methods: a total of 100 patients with coronary atherosclerosis who... Objective: to analyze the clinical effect of dynamic electrocardiogram and traditional electrocardiogram in the diagnosis of coronary atherosclerosis. Methods: a total of 100 patients with coronary atherosclerosis who were examined in our hospital from January 2020 to December 2020 were enrolled. Previous ecg and ambulatory ECG examinations were performed respectively. Depending on the results, they were divided into routine and dynamic test groups. The positive monitoring rates of the two methods for myocardial blood deficiency and different types of arrhythmia were compared. Results: the positive rate of myocardial ischemia in conventional test group was 52%, while that in dynamic test group was lower than 92% (P<0.05). Among different types of arrhythmia, the positive rate of atrioventricular block in routine detection group was 5%, while that in dynamic detection group was 28% (P < 0.05). The positive rate of short array ventricular tachycardia was 8% in the conventional detection group and 28% in the dynamic detection group (P < 0.05). The positive rate of ventricular arrhythmia monitoring was 41% in conventional test group and 69% in dynamic test group (P<0.05). The positive monitoring rate of atrial arrhythmia in conventional and dynamic test groups was 45% and 66% respectively (P<0.05). Conclusion: the positive rate of dynamic electrocardiogram on myocardial ischemia and arrhythmia is obviously higher than that of conventional electrocardiogram. 展开更多
关键词 dynamic electrocardiogram routine electrocardiogram coronary heart disease patients myocardial is
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Connection between heart rate variability alterations and cancer in tumor patients
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作者 Yu-Zhu Deng Bing Song 《World Journal of Cardiology》 2025年第3期67-72,共6页
BACKGROUND A significant proportion of cancer patients experience autonomic dysfunction,and cancer treatments such as chemotherapy and radiation therapy can exacerbate impairments in the cardiac autonomic nervous syst... BACKGROUND A significant proportion of cancer patients experience autonomic dysfunction,and cancer treatments such as chemotherapy and radiation therapy can exacerbate impairments in the cardiac autonomic nervous system.This study sought to investigate the characteristics of heart rate variability(HRV)in individuals with cancer.AIM To evaluate the relationship between HRV and cancer patients,providing insights and references for cancer treatment.METHODS The study included 127 cancer patients with available 24-hour dynamic electrocardiogram data.HRV differences were analyzed using both time domain and frequency domain methods.These findings were then compared to HRV data from reference individuals,sourced from literature that utilized the same HRV computing algorithm.RESULTS Our findings revealed that cancer patients generally exhibited abnormal HRV compared to the reference group.HRV was found to be correlated with age and clinical type(P<0.05),but no significant correlation was observed with tumor site or gender(P>0.05).CONCLUSION This study indicates that cancer patients have significantly abnormal HRV compared to reference individuals,suggesting the presence of a certain level of cardiac autonomic dysfunction in this patient population. 展开更多
关键词 Cancer patients Heart rate variability Domain and frequency domain methods Autonomic dysfunction dynamic electrocardiogram
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Value of Ambulatory Electrocardiogram in Diagnosis of Myocardial Ischemia and Arrhythmia in Elderly Patients with Coronary Heart Disease
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作者 WANG Gang 《外文科技期刊数据库(文摘版)医药卫生》 2021年第9期929-931,共5页
Objective: to explore and analyze the clinical application value of dynamic electrocardiogram in the diagnosis of myocardial ischemia and arrhythmia in elderly patients with coronary heart disease. Methods: this study... Objective: to explore and analyze the clinical application value of dynamic electrocardiogram in the diagnosis of myocardial ischemia and arrhythmia in elderly patients with coronary heart disease. Methods: this study since November 2019 until January 2021, through a computer randomly selected way to the hospital for treatment of 232 cases of coronary heart disease patients were divided into two groups, respectively, in the control group (n = 116, routine ecg examination) and observation group (n = 116, dynamic ecg examination), comparing the detection rate of two groups of patients. Results: the probability of disease detection in observation group was significantly higher than that in control group (P < 0.05). The detection rate of arrhythmia in the observation group was significantly higher than that in the control group (P < 0.05). Conclusion: for patients with coronary heart disease in clinic diagnosis of myocardial ischemia and arrhythmia, through the role of dynamic electrocardiogram (ecg) for patients with the corresponding inspection, process of clinical detection rate significantly more ideal, and the results were more accurate, in the actual clinical use in a more ideal effect in effect. 展开更多
关键词 dynamic electrocardiogram old age Coronary heart disease (CHD) myocardial ischemia arrhythmology
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Timed RR-interval Scatter Plots and Reverse Technology 被引量:8
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作者 Jin-tao XIANG 《Current Medical Science》 SCIE CAS 2020年第6期1191-1202,共12页
Lorenz-RR scatter plot has an obvious shortcoming in that it does not indicate the time when the scatter point happens.On the Lorenz RR scatter plot,one cannot know the time during which the cardiac rhythms take place... Lorenz-RR scatter plot has an obvious shortcoming in that it does not indicate the time when the scatter point happens.On the Lorenz RR scatter plot,one cannot know the time during which the cardiac rhythms take place.Since occurrence of cardiac rhythms is time-related,time should be introduced to such plots.In this study,time was used as abscissa and RR interval(the time interval between the previous RR wave and the R wave)as the ordinate and time was compressed into a visually observable length,and thereby a timed RR-interval scatter plot,or t-RR scatter plot,for short,was developed.On t-RR scatter plot,the patterns were band-shaped or were of linear type.On the t-RR plot,the sinus rhythm presented bands of various widths,with the spiculate or burred upper and lower boundaries,having diurnal variation.Premature beats showed separate layers(“stratification”),the layer number corresponding the number of RR-intervals.With simple premature beats,the layers were clearly separated.With parasystole rhythm,the upper and lower bands or layers might become thicker.With arial premature beats,the space or distance between layers varied.Ventricular premature beats presented equal space or distance between layers.With tachycardia,the lower layer became a“solid”layer.With atrial fibration,the“stratification”disappeared,presenting thicker or widened layers or bands,with neat lower boundary.With atrial flutter,the layers went parallel,with the layers being evenly separated or some distances being exact multiples of others.The second degree atrioventricular block displayed two layers,the lower and upper bands being equally away from the X-axis,presenting a straight line(pacing at a fixed rate)or a thicker or wider bands,with a neat upper boundary(the lowest pacing rate).When the scatter plot presented uncharacteristic patterns or had some scattered points,which rendered diagnosis difficult,a reverse technology could be used.Briefly,upon selection of scattered points,they were subjected to computerization,by regression,to reveal the piece of electrocardiogram(ECG)containing an R wave(QRS complex).Then ECG was analyzed to diagnose the cardiac rhythms.In conclusion,t-RR is a novel methodology which helps us understand heart rhythms from a new perspective. 展开更多
关键词 electrocardiogram dynamic electrocardiogram REVIEW timed RR-interval scatter plot METHODOLOGY
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