R-wave Detection Algorithm in ECG Signal Using Adaptive Refractory Period

김정준,; 김진섭,; 박길흠,

doi:10.5573/ieek.2013.50.5.242

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…먼저 R-peak의 검출 방법으로 이동윈도우 적분, 힐 버트 변환, 웨이블릿 변환, 윈도우 기반 등 다양한 방 법들이 연구되고 있으며 [6][7][8][9][10] , 본 논문에서는 가변 탐 색 구간을 이용한 R-peak 검출 방법 [11] 으로 검출하였 …”

Section: Pvc 특이심박 검출 알고리즘 제안 제안한 Pvc 특이심박 검출 알고리즘은 R-peak를unclassified

PVC Detection Based on the Distortion of QRS Complex on ECG Signal

Lee¹,

Kim²,

Park³

2015

The Journal of Korean Institute of Communications and Informati

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In arrhythmia ECG signal, abnormal beat that has various abnormal shape depending on the generation site and conduction disorders is included and it is very important to diagnose heart disease such as arrhythmia. In this paper, we propose a PVC abnormal beat detection algorithm associated with ventricular disease. The PVC abnormal beat is characterized by distortion of the QRS complex occurs among the components of the ECG signal. Therefore it is possible to detect PVC abnormal beat according to the degree of distortion of the QRS complex. First, quantify the distortion of the QRS complex by using the potential of the R-peak, kurtosis and period. By using the mean and standard deviation, PVC abnormal beat is detected depending on the degree of distortion from the normal beat. The proposed algorithm can detect the average over 98% of the AAMI-V class type abnormal beat associated with ventricular disease in MIT-BIH arrhythmia database.

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Section: Pvc 특이심박 검출 알고리즘 제안 제안한 Pvc 특이심박 검출 알고리즘은 R-peak를unclassified

PVC Detection Based on the Distortion of QRS Complex on ECG Signal

Lee¹,

Kim²,

Park³

2015

The Journal of Korean Institute of Communications and Informati

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“…의 가변 불응기(refractory period:  ), 그리고 이웃한 파형 간의 첨도(kurtosis:  )를 사용하여 정확한 R-peak를 검출하는 방법을 적용한다 [7] . 검출하는 방법을 제안한다 [8] .…”

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Adaptive Detection of Unusual Heartbeat According to R-wave Distortion on ECG Signal

이승민¹,

류춘하²,

박길흠³

2014

Journal of the Institute of Electronics and Information Enginee

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Arrhythmia electrocardiogram signal contains a specific unusual heartbeat with abnormal morphology. Because unusual heartbeat is useful for diagnosis and classification of various diseases, such as arrhythmia, detection of unusual heartbeat from the arrhythmic ECG signal is very important. Amplitude and kurtosis at R-peak point and RR interval are characteristics of ECG signal on R-wave. In this paper, we provide a method for detecting unusual heartbeat based on these. Through the value of the attribute deviates more from the average value if unusual heartbeat is more certainly, the proposed method detects unusual heartbeat in order using the mean and standard deviation. From 15 ECG signals of MIT-BIH arrhythmia database which has R-wave distortion, we compare the result of conventional method which uses the fixed threshold value and the result of proposed method. Throughout the experiment, the sensitivity is significantly increased to 97% from 50% using the proposed method

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Real-Time Monitoring of ECG Signal under Ubiquitous Environment

Kim

Ryu

et al. 2013

The Journal of Korea Information and Communications Society

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In this paper, we present a method of transmitting ECG signals in real-time mobile environment to be possible to implement the ubiquitous healthcare system. Because of the excessive amount of data transmission of ECG signals, it is necessary to propose a limitation to the real-time transmission. We propose a real-time electrocardiographic monitoring system based on the proposal of unusual waveform detection algorithm which detects the R-wave distortions from the arrhythmia ECG signals having unusual waveform of about 10% on average. It is very effective in terms of time and cost for medical staffs to monitor and analyze ECG signals for a long period of time. Monitoring unusual waveform by gradually adjusting the threshold values of potential and kurtosis makes the amount of data transmitted decrease and significance level of waveform to be enhanced. The unusual waveform detection algorithm is implemented with ubiquitous environment inter-working device client. It is applicable to ubiquitous healthcare system capable of real-time monitoring the ECG signal. While ensuring the mobility, it allows for real-time continuous monitoring of ECG signals.

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R-wave Detection Algorithm in ECG Signal Using Adaptive Refractory Period

Cited by 3 publications

References 10 publications

PVC Detection Based on the Distortion of QRS Complex on ECG Signal

PVC Detection Based on the Distortion of QRS Complex on ECG Signal

Adaptive Detection of Unusual Heartbeat According to R-wave Distortion on ECG Signal

Real-Time Monitoring of ECG Signal under Ubiquitous Environment

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