Identification of Cardiovascular Disease Based on Echocardiography and Electrocardiogram Data Using the Decision Tree Classification Approach

Tb Ai Munandar,Sumiati,Vidila Rosalina International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9

For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.

고칼륨혈증에서 심전도의 진단적 의의

윤수영,박원녕,정성필,김승호,이한식 대한응급의학회 2000 대한응급의학회지 Vol.11 No.3

Background: Hyperkalemia is a common and potentially life-threatening metabolic disorder. The electrocardiogram(ECG) is known to be a relatively sensitive diagnostic tool for hyperkalemia. However many exceptions, in which patients showed normal ECG findings even though hyperkalemic, have been reported. The purpose of this study was to determine the extent of correlation between the ECG findings and hyperkalemia and to determine when the ECG has value for diagnosing hyperkalemia. Methods: Patients who had been diagnosed as having hyperkalemia at two university hospitals during three years were enrolled in this study. We reviewed the medical records of the patients and evaluated the following 6 ECG abnormalities: tall T waves, narrow T waves, QRS widening, atrioventricular block, loss of P waves, and sine waves. We defined tall T waves and narrow T waves as 20 percentiles of heights and widths of the T waves from the 100 patients with normokalemia. Results: During the study period, there were 100 hyperkalemic patients, and we analyzed 69 available electrocardiograms. Abnormal ECG findings were revealed in 67%of 69 patients. The higher the serum potassium level, the more abnormal ECG findings. The common ECG abnormalities were tall T waves and loss of P waves. The patients with normal ECGs even though hyperkalemic had relatively low potassium levels. And whether chronic renal disease was not correlated to the ECG abnormality. Conclusion: The electrocardiogram is a good diagnostic tool for hyperkalemia if it is used with accurate diagnostic criteria. Thus, hyperkalemia should be considered when the ECG shows tall T waves or loss of P waves.

체중 변동에 의한 맥박, 혈압 및 심전도 양상의 변화

진복희 ( Bok Hee Jin ),박선영 ( Sun Young Park ) 대한임상검사과학회 2002 대한임상검사과학회지(KJCLS) Vol.34 No.2

Recently, the occurrences for obesity have gradually increased secondary to advanced economic growth, improvement of life standards, westernized dietary life, and changes in circumstances. Obesity has been known to be closely associated with cardiovascular diseases, hypertension, diabetes mellitus, and dyslipidemia, so that it causes many heaIth related problems. Therefore, we did research to discover the changes in the body mass index according to body weight variations, percent ideal body weight, blood pressure, total cholesterol, blood sugar level, pulse rate, and electrocardiogram pattem. We selectively chose 428 patients (226 males and 256 females) who were at least 40 years old and who came in for the comprehensive geriatric pathologic evaluation at the department of clinical pathology in the public health center that is located at Sungdong-gu in Seoul from April to July 2001. We subdivided them into four sections; low weight group, normal weight group, over weight group, and obesity group. We compared them according to body measurement, blood pressure, total cholesterol, blood sugar, pulse rate, and an electrocardiogram. The body mass index(p<0.001) is included in every age group from normal weight to over wei양lt group ranges, and the percent idεal body weight (p<O.OOI) is also included in the normal weight range of 90 to 110%. Those in their 50’s showed differences in height, weight, systolic blood pressure, and total cholesterol, but didn’t show significant differences in diastolic blood pressure, blood sugar, pulse rate, or an electrocardiogram. We should acknowledge that the control and treatment of obesity are important factors for the prevention and hea1th improvement in geriatric pathologies, since the obesity indicators of body mass index, percent ideal body weight, systolic blood pressure, and total cholesterol had been significantly increased.

A Wearable Electrocardiogram (ECG) Measurement Device for Using a Daily Life

ChanYoung Hahm,SeungYun Nam,SeokHee Lee,HyunSoon Shin 중소기업융합학회 2015 중소기업융합학회 국제학술대회논문집 Vol.2 No.1

There is a need to be small and low power for wearable healthcare system for using a daily life. In this paper, we present the PCB minimized while a user wearing the device carries out our daily activities. Although the device consists of a wireless communication, microcontroller for controlling and analog to digital converting, and analog front end (AFE), we report the only results of AFE for amplifying and filtering of the electrocardiogram. To confirm the quality of the AFE, we use the ECG source signal, electrocardiogram emulator, MiniSim 1000 by Netech Corp., and the function generator for measuring the each function.

Neural Networks-Based Method for Electrocardiogram Classification

Maksym Kovalchuk,Viktoriia Kharchenko,Andrii Yavorskyi,Igor Bieda,Taras Panchenko International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9

Neural Networks are widely used for huge variety of tasks solution. Machine Learning methods are used also for signal and time series analysis, including electrocardiograms. Contemporary wearable devices, both medical and non-medical type like smart watch, allow to gather the data in real time uninterruptedly. This allows us to transfer these data for analysis or make an analysis on the device, and thus provide preliminary diagnosis, or at least fix some serious deviations. Different methods are being used for this kind of analysis, ranging from medical-oriented using distinctive features of the signal to machine learning and deep learning approaches. Here we will demonstrate a neural network-based approach to this task by building an ensemble of 1D CNN classifiers and a final classifier of selection using logistic regression, random forest or support vector machine, and make the conclusions of the comparison with other approaches.

Brugada 증후군 환자의 전신 마취 경험

김동현 ( Dong Hyun Kim ),강종만 ( Jong Man Kang ) 경희대학교 경희의료원 2015 慶熙醫學 Vol.30 No.1

Brugada syndrome is clinical syndrome with unique patterns of electrocardiogram(ST elevation in right precordial leads and right bundle branch block) and a high incidence of sudden death of patients with structurally normal hearts. It is related to 4-12% of all sudden deaths and 20% of sudden death with structurally normal hearts. It is autosomal dominant transmitted familial disease with incidence of 5 to 66 per 10,000. Clinical presentation of Brugada syndrome shows male predominance(8 to 10 times more prevalent in male) and the appearance of arrhythmic event at an average of 40 years. We report a case of general anesthesia for an appendectomy of 45-year-old male patient showing type-I Brugada electrocardiogram.

후흉부 유도 V_(7-9)을 이용한 후벽 심근 경색증의 심전도적 진단 : 연령에 따른 차이 Differences by Age

신영우 대한노인병학회 2002 대한노인병학회지 Vol.6 No.4

웨어러블 심전도 측정과 임상 심전도 측정과의 상관관계에 대한 연구

이강휘(Kang-Hwi Lee),이성수(Seong-Su Lee),김상민(Sang-Min Kim),이혁재(Hyeok-Jae Lee),민경진(Kyoung-Jin Min),강현규(Hyun-Kyu Kang),이주현(Joo-Hyeon Lee),곽휘권(Hwy-Kuen Kwak),고윤수(Yun-Soo Ko),이정환(Jeong-Whan Lee) 대한전기학회 2018 전기학회논문지 Vol.67 No.12

Recent advances in ICT technology have transformed many of our daily lives and attracted a lot of attention to personal health. Heart beat measurement that reflects cardiac activities has been used in various fields such as exercise evaluation and psychological state evaluation for a long time, but its utilization method is limited due to its differentiation from clinical electrocardiogram. Therefore, in this study, we could observe the change of the measured signal according to the change of the distance and the position of the measuring electrodes which are non-standard electrode configuration. Based on the electric dipole model of the heart, correlation with clinical electrocardiogram could be confirmed by synthesizing multiple surface potentials measured with a shorter electrode distance than standard one. From the electromagnetic point of view, the distance between the measuring electrodes corresponds to the distance that the electric potential by the cardiac electric dipole moves, and the electric potential measured at the body surface is proportional to the moving distance of the electric potential. Therefore, it is preferable to make the distance between electrodes as long as possible, and to position the measuring electrode close to the ventricle rather than the atrium. In addition, it was found that standard electrocardiographic waveforms could be synthesized by using arithmetic sum of multiple measuring electrodes due to the relationship of electrical dipole vectors, which is obtained by dividing and positioning a plurality of measuring electrodes on a reference electrode line, such as Lead-I, Lead-II direction. Also, we obtained a significant Pearson correlation coefficient (r = 0.9113 ± 0.0169) as a result of synthetic experiments on four subjects.

감성을 평가하기 위한 생체신호 분석 시스템에 관한 연구

이지형(Ji-Hyeoung Lee),김경호(Kyung-Ho Kim) 한국컴퓨터정보학회 2010 韓國컴퓨터情報學會論文誌 Vol.15 No.12

본 논문에서는 일상생활 속에서 무자각적으로 생체신호를 측정하고 분석하여 감성을 평가할 수 있는 임베디드 시스템에 관하여 연구하였다. 지속적으로 변화하는 감성을 일관적이며 신뢰성이 높은 생리적인 방법으로 평가하기 위해 심전도(ECG:Electrocardiogram), 맥파(PPG:Photoplethysmography)의 두 가지 생체신호를 측정하고, 무선전송(Bluetooth) 장치를 이용하여 측정한 생체신호를 실시간으로 노트북PC로 전송하여 분석하였다. 생체신호의 분석방법은 고속 퓨리에 변환(FFT:Fast Fourier Transform)과 전력 스펙트럼 밀도(PSD:Power Spectrum Density)를 이용한 주파수 분석방법으로 두 생체신호의 특정 주파수 대역이 가지는 자율신경계의 활성도의 비율을 분석하여 비교 연구하였다. 또한 보다 빠르고 정확한 감성을 평가하기 위하여 분석 알고리즘의 연산을 최소화 하였으며 그래프를 이용한 분석결과의 시각화를 하였다. 본 논문에서는 무자각적인 생체 신호 측정 시스템을 이용하여 다양한 상황에서 생체신호를 측정하고, 개발한 분석 알고리즘으로 분석한 결과의 차이를 연구하여 정확도 및 신뢰도를 기준으로 감성을 평가하기 위한 분석 시스템을 평가하였다. In this paper, we studied about the Embedded System of the biosignal measurement and analysis to sensibility evaluation in daily life for non-intrusive. This system is two kinds of measuring biosiganls(Electrocardiogram:ECG, Photoplethysmography:PPG) and analyzed by real-time wireless transmission to notebook PC using bluetooth for consistent and reliability of physiological way to assess continuously changing sensibility. Comparative studied of an autonomic nerve system activity ratio on characteristics frequency band of two kinds of biosignal analyzed frequency way using the Fast Fourier Transform(FFT) and Power Spectrum Density(PSD). Also the key idea of this system is to minimize computing of analysis algorithm for faster and more accurate to assess the sensibility, and the result of the visualization using graph. In this paper, we evaluated the analysis system to assess sensibility that measuring various situation in daily life using a non-intrusive biosignal measurement system, and the accuracy and reliability in comparison with difference of result by development analysis system.

생체신호를 활용한 고령자의 대중교통 이용 스트레스의 실증적 분석

박경아,박정욱,이정환,양희경,염세례 한국교통연구원 2016 交通硏究 Vol.23 No.4

The purpose of this research is to provide empirical analysis on characteristics and levels of stress for elderly individuals caused by public transport utilizing biosignal variables. Biosignal data was collected through experiments with subjects wearing goggle form CCD cameras, 3-axis acceleration speed measurements, and electrocardiograms. Utilized indices for stress analysis are includes sum of 3-axis vector that represent physical movement characteristics, beats per minute for heart rate, standard deviation of RR intervals, and low frequency/high frequency. The results showed physical activity and the resultant stress when using public transport were less varied for the elderly, while they showed higher level of stress when encountering a complex task during a mode transfer. They also showed reduced stress levels during the trip while non-elderly individuals showed increased stress levels. Results are to be used as basic data for diagnostics and evaluations of facilities and services to improve public transport for improving movement of the elderly. 본 연구에서는 고령자가 대중교통을 이용할 때 체감하는 스트레스의 정도와 특성을 생체신호 변화를 활용하여 실증적으로 분석하였다. 피험자들에게 고글형 CCD 카메라, 3축가속도측정기, ECG(Electrocardiogram) 모듈장비를 신체에 장착하고 설정된 구간에서 대중교통을 이용하도록 하여 이들의 운동 및 생체신호 자료를 수집하였다. 스트레스 분석을 위한 지표로는 운동특성을 나타내는 3축방향 벡터합과 심박변동을 나타내는 평균 BPM(Beat per Minute), RRI(R-R Interval) 표준편차, LF/HF(Low Frequency/High Frequency)를 사용하였다. 분석결과, 고령자는 비고령자보다 대중교통 이용 시 운동량과 스트레스의 변화폭이 적으며, 이용단계 중 상황이 복잡하고 선택의 변수가 증가하는 환승 단계에서 스트레스를 많이 받는 것으로 나타났다. 또한 시간이 지날수록 비고령자는 스트레스가 증가하는 경향을 보이는 반면 고령자는 감소하는 경향을 보였다. 분석결과는 고령자를 위한 대중교통 이동편의 시설 및 서비스 개선에 필요한 현황 진단과 개선효과 평가 등에 필요한 기초자료로 활용 가능한 것으로 판단된다.