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Radial Pulse and electrocardiography Modulation by Mild Thermal Stresses Applied to Feet: An Exploratory Study with Randomized, Crossover Design

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Chinese Journal of Integrative Medicine 2020年第4期26卷 299-306页

作者： Jang-Han Bae Boncho Ku Young Ju Jeon Hyunho Kim Jihye Kim Haebeom Lee Jong Yeol Kim Jaeuk U.Kim Korea n Medici ne Fun dame ntal Research Divisi on Korea Institute of Oriental MedicineDaejeon(34054)Republic of Korea Department of Biofunctional Medicine and Diagnostics College of Korea n MedicineKyung Hee UniversitySeoul(02453)Republic of Korea Department of Human Informatics of Korean Medicine Interdisciplinary ProgramsKyung Hee UniversitySeoul(02453)Republic of Korea

Objective:To investigate the changes in radial pulse induced by thermal stresses(TSs).Methods:Sixty subjects were *** an open-label,2x2 crossover randomization design,both feet of each subject were immersed in 15%:water for cold stress(CS)and in 40 X:water for heat stress(HS)for 5 min *** pulse,respiration and electrocardiogram(ECG)signals were recorded before,during and immediately after the ***:The an alysis of heart rate variability revealed that CS in creased the low-freque ncy(LF)and high-frequency(HF)components(P<0.05)and that HS reduced the LF and HF components(P<0.01).Both TSs reduced the normalized LF,increased the normalized HF,and reduced the LF/HF *** differences in the ECG signals were more dominant during the TS sessions,but those in the radial pulse signals became more domi nant immediately after the TS sessi *** decreased the pulse depth(P<0.01)and in creased the radial augme ntation in dex(P<0.1),and HS in creased the pulse pressure(P<0.1)and sube ndocardial viability ratio(P<0.01).There were no significant differences in pulse rate during the three time sequences of each *** respiration rate was increased(P<0.1),and the pulse rate per respiration(P/R ratio)was significantly decreased(P<0.05)with *** HF region(10-30 Hz)of the pulse spectral density was suppressed during both ***:CS induced vasoconstriction and sympathetic reactions,and HS induced vasodilation and parasympathetic reacti *** on defi nitions used in pulse diag no sis,we made the novel discoveries that the pulse became slower(decreased P/R ratio),more floating and tenser under CS and that the HF region of the spectral power decreased significantly under both TSs.

关键词： radial pulse pulse diag no sis thermal stress electrocardiography heart rate variability

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The role of electrocardiography in the elaboration of a new paradigm in cardiac resynchronization therapy for patients with nonspecific intraventricular conduction disturbance

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Journal of Geriatric Cardiology 2016年第2期13卷 118-125页

作者： Andras Vereckei Gabor Katona Zsuzsanna Szelenyi Gabor Szenasi Balint Kozman Istvan Karadi The 3rd Department of Medicine School of Medicine Semmelweis University Budapest Hungary Institute of Pathophysiology Semmelweis University Budapest Hungary Ardinsys Ltd. Budapest Hungary

Cardiac resynchronization therapy （CRT） is associated with a favorable outcome only in patients with left bundle branch block （LBBB） pattern and in patients with a QRS duration 〉 150 ms, in patients with non-LBBB pattern with a QRS duration of 120-150 ms usually is not beneficial. After adjusting for QRS duration, QRS morphology was no longer a determinant of the clinical response to CRT. In contrast to the mainstream view, we hypothesized that the unfavorable CRT outcome in patients with non-LBBB and a QRS duration of 120-150 ms is not due to the QRS morphology itself, but to less dyssynchrony and unfavorable patient characteristics in this subgroup, such as more ischemic etiology and greater prevalence of male patients compared with patients with LBBB pattern. Further, the current CRT technique is devised to eliminate the dyssynchrony present in patients with LBBB pattern and inappropriate to eliminate the dyssynchrony in patients with non-LBBB pattern. We also hypothesized that electrocardiography may also provide information about the presence of interventricular and left intraventricular dyssynchrony and the approximate location of the latest activated left ventricular （LV） region. To this end, we devised new ECG criteria to estimate interventricular and LV intraventricular dyssynchrony and the approximate location of the latest activated LV region. Our preliminary data demonstrated that the latest activated LV region in patients with nonspecific intraventricular conduction disturbance （NICD） pattern might be at a remote site from that present in patients with LBBB pattern, which might necessitate the invention of a novel CRT technique for patients with NICD pattern. The application of the new interventricular and LV intraventricular dyssynchrony ECG criteria and a potential novel CRT technique might decrease the currently high nonresponder rate in patients with NICD pattern.

关键词： Cardiac resynchronization therapy electrocardiography Heart failure

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Contribution of Quick Sequential Organ Failure Assessment Score Combined with electrocardiography in Risk Stratification of Patients with Acute Pulmonary Embolism

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Chinese Medical Journal 2018年第20期131卷 2395-2401页

作者： Fei Teng Yun-Xia Chen Xin-Hua He Shu-Bin Guo Department of Emergency Beijing Chao-Yang Hospital Capital Medical University Beijing 100020 China Department of Infection and Microbiology Beijing Chao-Yang Hospital Capital Medical University Beijing 100020 China

Background： The quick Sequential Organ Failure Assessment （qSOFA） score emerged recently. We investigated its contribution to risk stratification in acute pulmonary embolism （PE） by combining with electrocardiography （ECG）. Methods： Acute PE patients diagnosed in Beijing Chao-Yang Hospital, Capital Medical University, from 2008 to 2018 were retrospectively studied and divided into high- and low-risk groups by imaging and biomarkers. The ECG scores consisted oftachycardia, McGinn-White sign （S1Q3T3）, right bundle branch block, and T-wave inversion of leads V1-V3. A new combination of qSOFA scores and ECG scores by logistic regression for predicting high-risk stratification patients with acute PE was evaluated by a receiver operating characteristic curve. Results： Totally 1318 patients were enrolled, including 271 in the high-risk group and 1047 in the low-risk group. A combination predictive scoring system named qSOFA-ECG = qSOFA score ＋ ECG score was created. The optimal cutoffvalue for qSOFA-ECG was 2, and the sensitivity, specificity, positive predictive value, and negative predictive value were 81.5%, 72.3%, 43.2%, and 93.8%, respectively. For predicting high-risk stratification and reperfusion therapy, the qSOFA-ECG is superior to PE Severity Index （PESI） and simplified PESI. Conclusions： The qSOFA score contributes to identify acute PE patients with potentially hemodynamic decompensation that need monitoring and possible reperfusion therapy at the emergency department arrival when used in combination with ECG score.

关键词： electrocardiography Emergency Pulmonary Embolism Quick Sequential Organ Failure Assessment

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Optimization of atrioventricular delay by surface electrocardiography during dual chamber pacing

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Chinese Medical Journal 2006年第6期119卷 454-457页

作者： WU Li-qun GU Gang CAO Min SHEN Yong-chu SU Kan SHEN Wei-feng Department of Cardiology Ruijin Hospital Shanghai Jiao TongUniversity Shanghai 200025 China

Background Nominal atrioventricular （AV） interval in dual chamber pacemaker （DDD） is not the best AV delay in the majority of patients with atrioventricular block. To find a simple method for optimizing AV delay adjustment, we assessed surface electrocardiography （ECG） for optimizing AV delay during dual chamber pacing. Methods DDD pacemakers were implanted in 46 patients with complete, or almost complete, AV block. Optimal AV delay was achieved by programming an additional delay of 100 ms, to the width of intrinsic P wave or to the interval between pacing spike to the end of P wave on surface ECG. Leit ventricular （LV） end diastolic and end systolic volumes, ejection fraction and diastolic parameters were measured by Doppler echocardiography during both nominal and optimal AV delay pacing.Results Compared to nominal AV delay setting, LV end diastolic volume increased [to （53.2±11.3） ml from （50.2 ± 10.2） ml, P〈0.05], end systolic volume decreased [to （26.1 ± 9.0） ml from （27.9 ± 8.2） ml, P〈0.05] during adjusted AV delay pacing, resulting in an increase in LV ejection fraction [to （68.2±5.3）% from （64.5±4.3）%, P〈0.05]. LV diastolic filling and isovolumic relaxation time were not significantly changed.Conclusion Optimization of AV delay by surface ECG is a simple method to improve LV systolic function during dual chamber pacing.

关键词： atrioventricular delay electrocardiography pacing P-wave

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Characteristic parameters of electromagnetic signals from a human heart system

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Chinese Physics B 2011年第4期20卷 456-464页

作者：刘新元裴留庆王寅张素明高红蕾戴远东 School of Electronics Engineering and Computer Science Peking University College of Information Science and Technology Beijing Normal University State Key Laboratory for Artificial Microstructure and Mesoscopic Physics Physics School of Peking University

The electromagnetic field of a human heart system is a bioelectromagnetic field. electrocardiography （ECG） and magnetocardiography （MCG） are both carriers of electromagnetic information about the cardiac system, and they are nonstationary signals. In this study, ECG and MCG data from healthy subjects are acquired; the MCG data are captured using a high-Tc radio frequency superconducting quantum interference device （HTc rf SQUIDs） and the QRS complexes in these data are analysed by the evolutionary spectrum analysis method. The results show that the quality factor Q and the central frequency fz of the QRS complex evolutionary spectrum are the characteristic parameters （CHPs） of ECG and MCG in the time-frequency domain. The confidence intervals of the mean values of the CHPs are estimated by the Student t distribution method in mathematical statistics. We believe that there are threshold ranges of the mean values of Q and fz for healthy subjects. We have postulated the following criterion： if the mean values of CHPs are in the proper ranges, the cardiac system is in a normal condition and it possesses the capability of homeostasis. In contrast, if the mean values of the CHPs do not lie in the proper ranges, the homeostasis of the cardiac system is lacking and some cardiac disease may follow. The results and procedure of MCG CHPs in the study afford a technological route for the application of HTc rf SQUIDs in cardiology.

关键词： bioelectromagnetic field magnetocardiography electrocardiography characteristic parameters threshold ranges

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Myocardial Infarction Detection and Localization with Electrocardiogram Based on Convolutional Neural Network

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Chinese Journal of Electronics 2021年第5期30卷 833-842页

作者： LIU Jikui WANG Ruxin WEN Bo LIU Zengding MIAO Fen LI Ye Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen College of Advanced Technology University of Chinese Academy of Sciences

Electrocardiogram(ECG) is widely used in Myocardial infarction(MI) diagnosis. The automatic diagnosis of MI based on the 12-lead ECG needs to consider not only the waveform change features in multi-resolution time series, but also the spatial correlation information between the leads. To this end, this work proposed multiscale spatiotemporal feature extraction method based on Convolutional neural network(CNN) for MI automatic diagnosis. First, the 12-lead ECG is first transformed into an ECG image through wavelet decomposition and 3-dimensional space reconstruction. The MI-CNN model is then constructed to identify MI using 41368 ECG ***, we develop the LL-CNN model, which is utilized only after the ECG signal is identified as an MI event by the MI-CNN model, to localize MI by employing transfer learning to overcome the limited data problem. The proposed method has achieved an accuracy of 99.51% on MI detection, and a macro-F1 of 99.14% on MI ***, the features visualization shows that U-wave has significant diagnostic value for MI. The proposed method significantly improves the performance of MI detection and localization compared with other methods. It is promising to be used for MI monitoring and diagnosis.

关键词： medical signal processing waveform change features convolutional neural network feature extraction multiscale spatiotemporal feature extraction method electrocardiogram MI automatic diagnosis ECG signal myocardial infarction detection MI-CNN model electrocardiography myocardial infarction diagnosis learning (artificial intelligence) medical signal detection MI detection MI localization ECG image multiresolution time series wavelet transforms wavelet decomposition LL-CNN model

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Repetitive narrow QRS tachycardia in a 61-year-old female patient with recent palpitations

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Journal of Geriatric Cardiology 2018年第2期15卷 193-198页

作者： Andras Vereckei Laszlo Geller 3^rd Department of Medicine Semmelwels University Budapest Hungary Heart and Vascular Center Semmelweis University Budapest Hungary

A 61-year-old female patient suffering from recent onset palpitations and dyspnea on exertion with hypertension and mitral valve prolapse in her past history came to our outpatient department. Echocardiography revealed a mild mitral valve prolapse, slightly decreased left ventricular （LV） function （LV ejection fraction： 51%） and a mild mitral regurgitation.

关键词： Dual AV nodal nonreentrant tachycardia electrocardiography Supraventricular tachycardia

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Dry Fiber‑Based Electrodes for Electrophysiology Applications

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Advanced Fiber Materials 2023年第3期5卷 819-846页

作者： Ladan Eskandarian Elmira Pajootan Amirali Toossi Hani E.Naguib Department of Materials Science and Engineering University of TorontoTorontoON M5S 3E4Canada Department of Chemical Engineering McGill UniversityMontrealQC H3A 0C5Canada Research and Development Department Myant IncTorontoON M9W 1B6Canada Department of Mechanical and Industrial Engineering University of TorontoTorontoON M5S 3G8Canada Institute of Biomaterials and Biomedical Engineering University of TorontoTorontoON M5S 3G8Canada

Long-term continuous health care monitoring,using wearable technologies has received considerable interest due to the significant contribution of wearables to the diagnosis of diseases and identification of health *** have been widely applied in human societies due to their unique advantages,including stretchability,small diameters,high dynamic bending elasticity,high length-to-width ratios,and mechanical strength.A new generation of fiber-based electrodes is being integrated into smart textiles and wearables for continuous long-term biosignal *** fiber-based electrodes are breathable,flexible,and durable,unlike conventional disposable gel electrodes,which are difficult to employ for long-term applications because of skin irritation and allergic responses caused by their moist and adhesive interface with the *** this review,we provide a concise summary of recent breakthroughs in the design,and manufacturing of dry fiber-based electrodes for electrophysiology applications,with a particular emphasis on applications in electrocardiography,electromyography,and *** on numerous features of electroactive fiber materials,fiber processing,electrode fabrication,scaled-up manufacturing,standardization of testing and performance criteria,we discuss current limitations and provide an outlook for the future development of this field.

关键词： Electroactive fiber Smart textiles electrocardiography Wearables Health care monitoring Textile

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Current applications of big data and machine learning in cardiology

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Journal of Geriatric Cardiology 2019年第8期16卷 601-607页

作者： Renato Cuocolo Teresa Perillo Eliana De Rosa Lorenzo Ugga Mario Petretta Department of Advanced Biomedical Sciences University of Naples “Federico II”NaplesItaly Department of Translational Medical Sciences University of Naples “Federico II”NaplesItaly

Machine learning (ML) is a software solution with the ability of making predictions without prior explicit programming, aiding in the analysis of large amounts of data. These algorithms can be trained through supervised or unsupervised learning. Cardiology is one of the fields of medicine with the highest interest in its applications. They can facilitate every step of patient care, reducing the margin of error and contributing to precision medicine. In particular, ML has been proposed for cardiac imaging applications such as automated computation of scores, differentiation of prognostic phenotypes, quantification of heart function and segmentation of the heart. These tools have also demonstrated the capability of performing early and accurate detection of anomalies in electrocardiographic exams. ML algorithms can also contribute to cardiovascular risk assessment in different settings and perform predictions of cardiovascular events. Another interesting research avenue in this field is represented by genomic assessment of cardiovascular diseases. Therefore, ML could aid in making earlier diagnosis of disease, develop patient-tailored therapies and identify predictive characteristics in different pathologic conditions, leading to precision cardiology.

关键词： Cardiac imaging techniques Cardiology electrocardiography Machine learning Review

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A predictive model of response to metoprolol in children and adolescents with postural tachycardia syndrome

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World Journal of Pediatrics 2023年第4期19卷 390-400页

作者： Bo-Wen Xu Qing-You Zhang Xue-Ying Li Chao-Shu Tang Jun-Bao Du Xue-Qin Liu Hong-Fang Jin Department of Pediatrics Peking University First HospitalNo.1Xi’an-Men StreetWest DistrictBeijing100034China Department of Medical Statistics Peking University First HospitalBeijingChina Key Lab of Molecular Cardiovascular Sciences Ministry of EducationBeijingChina Department of Physiology and Pathophysiology Peking University Health Science CentreBeijingChina

Background The present work was designed to explore whether electrocardiogram(ECG)index-based models could predict the effectiveness of metoprolol therapy in pediatric patients with postural tachycardia syndrome(POTS).Methods This study consisted of a training set and an external validation *** and adolescents with POTS who were given metoprolol treatment were enrolled,and after follow-up,they were grouped into non-responders and responders depending on the efficacy of *** difference in pre-treatment baseline ECG indicators was analyzed between the two groups in the training *** logistic regression analysis was further conducted on the association between significantly different baseline variables and therapeutic *** models were established to predict therapeutic response to *** receiver-operating characteristic curve(ROC),calibration,and internal validation were used to evaluate the prediction *** predictive ability of the model was validated in the external validation *** Of the 95 enrolled patients,65 responded to metoprolol treatment,and 30 failed to *** the responders,the maximum value of the P wave after correction(Pcmax),P wave dispersion(Pd),Pd after correction(Pcd),QT interval dis-persion(QTd),QTd after correction(QTcd),maximum T-peak-to-T-end interval(Tpemax),and T-peak-to-T-end interval dispersion(Tped)were prolonged(all P<0.01),and the P wave amplitude was increased(P<0.05)compared with those of the *** contrast,the minimum value of the P wave duration after correction(Pcmin),the minimum value of the QT interval after correction(QTcmin),and the minimum T-peak-to-T-end interval(Tpemin)in the responders were shorter(P<0.01,<0.01 and<0.01,respectively)than those in the *** above indicators were screened based on the clinical significance and multicollinearity analysis to construct a binary logistic *** a result,pre-treatment Pcmax,QTcmin,and Tped

关键词： Children electrocardiography Metoprolol Nomogram Predictor Postural tachycardia syndrome

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