• 제목/요약/키워드: P-wave detection

검색결과 123건 처리시간 0.022초

Wavelet Transform을 이용한 P파 검출에 관한 연구 (P-wave Detection Using Wavelet Transform)

  • 윤영로;장원석
    • 대한의용생체공학회:의공학회지
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    • 제17권4호
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    • pp.507-514
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    • 1996
  • The automated ECG diagnostic systems in hospital have a low P-wave detection capacity in case of some diseases like conduction block. The purpose of this study is to improve the P-wave detection ca- pacity using wavelet transform. The first procedure is to remove baseline drift by subtracting the median filtered signal from the original signal. The second procedure is to cancel ECG's QRS-T complex from median filtered signal to get P-wave candidate. Before we subtracted the templete from QRS-T complex, we estimated the best matching between templete and QRS-T complex to minimize the error. Then, wavelet transform was applied to confirm P-wave. In particular, haiti wavelet was used to magnify P-wave that consisted of low frequency components and to reject high frequency noise of QRS-T complex cancelled signal. Finally, p-wave was discriminated and confirmed by threshold value. By using this method, We can got the around 95.1% P-wave detection. It was compared with contextual information.

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Contextual information 을 이용한 P파 검출에 관한 연구 (Improvement of ECG P wave Detection Performance Using CIR(Contextusl Information Rule-base) Algorithm)

  • 이지연;김익근
    • 대한의용생체공학회:의공학회지
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    • 제17권2호
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    • pp.235-240
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    • 1996
  • The automated ECG diagnostic systems that are odd in hospitals have low performance of P-wave detection when faced with some diseases such as conduction block. So, the purpose of this study was the improvement of detection performance in conduction block which is low in P-wave detection. The first procedure was removal of baseline drift by subtracting the median filtered signal of 0.4 second length from the original signal. Then the algorithm detected R peak and T end point and cancelled the QRS-T complex to get'p prototypes'. Next step was magnification of P prototypes with dispersion and detection of'p candidates'in the magnified signal, and then extraction of contextual information concerned with P-waves. For the last procedure, the CIR was applied to P candidates to confirm P-waves. The rule base consisted of three rules that discriminate and confirm P-waves. This algorithm was evaluated using 500 patient's raw data P-wave detection perFormance was in- creased 6.8% compared with the QRS-T complex cancellation method without application of the rule base.

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심전도 신호 P파 검출 알고리즘에 관한 연구 (A New Algorithm for P_wave Detection in the ECG signal)

  • 정희교;김광근;황선철;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1989년도 춘계학술대회
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    • pp.15-18
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    • 1989
  • This paper presents a new algorithm for P-wave detection in the ECG signal. We detect the peak and valley point using significant point extraction algorithm with 9-point derivative. Because P-wave duration is changed according to heart-rates, we search for the R-peak and calculate the R-R interval time prior to the determination of P-wave duration threshold values in order to actively adapt to the change of P duration. We determine the parameters for P-wave detection and then P-peak, P-onset and P-offset are detected by these parameters. The results obtained from the proposed algorithm have detected successively P-wave almost more than 90%.

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P Wave Detection based on QRST Cancellation Zero-One Substitution

  • Cho, Ik-Sung
    • Journal of information and communication convergence engineering
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    • 제19권2호
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    • pp.93-101
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    • 2021
  • Cardiac arrhythmias are common heart diseases and generally cause sudden cardiac death. Electrocardiogram (ECG) is an effective tool that can reveal the electrical activity of the heart and diagnose cardiac arrhythmias. We propose detection of P waves based on QRST cancellation zero-one substitution. After preprocessing, the QRST segment is determined by detecting the Q wave start point and T wave end point separately. The Q wave start point is detected by digital analyses of the QRS complex width, and the T wave end point is detected by computation of an indicator related to the area covered by the T wave curve. Then, we determine whether the sampled value of the signal is in the interval of the QRST segment and substitute zero or one for the value to cancel the QRST segment. Finally, the maximum amplitude is selected as the peak of the P wave in each RR interval of the residual signal. The average detection rate for the QT database was 97.67%.

전문가의 추론방법을 이용한 P파 검출 알고리즘 (P wave Detection Algorithm using Cardiologist's Estimation Method)

  • 이지연;황성오;윤영로;윤형로
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1995년도 춘계학술대회
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    • pp.186-189
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    • 1995
  • This paper performed P wave detection algorithm for diagnosis in according to method of cardiologist's P wave detection. We used correlation pattern matching for prominent P waves and P-P interval estimation for ambiguous P waves. Results of this study indicate that this algorithm has potential for improving P wave detection performance.

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Wavelet Transform을 이용한 P파 검출에 관한 연구 (P-wave Detection Using Wavelet Transform)

  • 장원석;윤영로;윤형로
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1996년도 추계학술대회
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    • pp.377-380
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    • 1996
  • The purpose of this paper is to improve the P-wave detection capacity using wavelet transform. The first procedure is to remove baseline drift using the median filter. The second procedure is to cancel ECG's QRS-T complex with ECG's QRS-T complex templete to get P-wave candidate. Before we cancelled out the QRS-T complex, we estimated the best matching between templete and QRS-T complex to minimize the error. Then, Harr wavelet was used to eleminate the high frequency noise of ECG wave form cancelled the QRS-T complex. Finally, P-wave was discriminated and confirmed by threshold value. By using this method, We can got the around 95.1% P-wave detection.

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시간-주파수 누적 변화량과 가변 임계값을 이용한 지진 이벤트 자동 검출 알고리즘 (Earthquake Event Auto Detection Algorithm using Accumulated Time-Frequency Changes and Variable Threshold)

  • 최훈
    • 전기학회논문지
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    • 제61권8호
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    • pp.1179-1185
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    • 2012
  • This paper presents a new approach for the detection of seismic events using accumulated changes on time-frequency domain and variable threshold. To detect seismic P-wave arrivals with rapidness and accuracy, it is that the changes on the time and the frequency domains are simultaneously used. Their changes are parameters appropriated to reflect characteristics of earthquakes over moderate magnitude(${\geq}$ magnitude 4.0) and microearthquakes. In addition, adaptively controlled threshold values can prevent false P-wave detections due to low SNR. We tested our method on real earthquakes those have various magnitudes. The proposed algorithm gives a good detection performance and it is also comparable to STA/LTA algorithm in computational complexity. Computer simulation results shows that the proposed algorithm is superior to the conventional popular algorithm (STA/LTA) in the seismic P-wave detection.

PVC Classification Algorithm Through Efficient R Wave Detection

  • Cho, Ik-Sung;Kwon, Hyeog-Soong
    • 센서학회지
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    • 제22권5호
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    • pp.338-345
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    • 2013
  • Premature ventricular contractions are the most common of all arrhythmias and may cause more serious situation like ventricular fibrillation and ventricular tachycardia in some patients. Therefore, the detection of this arrhythmia becomes crucial in the early diagnosis and the prevention of possible life threatening cardiac diseases. Most methods for detecting arrhythmia require pp interval, or the diversity of P wave morphology, but they are difficult to detect the p wave signal because of various noise types. Thus, it is necessary to use noise-free R wave. So, the new approach for the detection of PVC is presented based on the rhythm analysis and the beat matching in this paper. For this purpose, we removed baseline wandering of low frequency band and made summed signals that are composed of two high frequency bands including the frequency component of QRS complex using the wavelet filter. And then we designed R wave detection algorithm using the adaptive threshold and window through RR interval. Also, we developed algorithm to classify PVC using RR interval. The performance of R wave and PVC detection is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate average detection rate of 99.76%, sensitivity of 99.30% and specificity of 98.66%; accuracy respectively for R wave and PVC detection.

다중 리드 심전도 신호에서의 P파 검출 (Detection of the P Wave in Multilead ECGs)

  • 김동석;전대근;길문종;윤형로
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.175-176
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    • 1998
  • The automated ECG diagnostic systems that are used in hospitals have low performance of P wave detection when faced with some diseases such as conduction block. So, the aim of this study is the improvement of detection performance in conduction block which is low in P wave detection. Median QRS-T segments were subtracted from the raw data and residual in the QRS-T regions was zeroed. After band pass filtering, we applied approximated length transformation to detect P wave.

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ECG 신호에서 불응기를 이용한 R-파 검출 방법 (An R-wave Detection method in ECG Signal Using Refractory Period)

  • 김진섭;김재수;김정홍
    • 한국컴퓨터정보학회논문지
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    • 제18권1호
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    • pp.93-101
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    • 2013
  • 심전도 신호에서 R-파는 다른 특징 점을 구하는데 중요한 역할을 할 뿐만 아니라 심장에 대한 많은 의학적인 정보를 가지고 있다. 지금까지의 연구는 심전도 신호 형태에 대한 분석을 통하여 R-파를 검출하였으나, R-파와 비슷한 형태의 P-파가 나타날 경우 정확한 R-파 검출이 어려웠다. 본 논문에서는 세포막이 흥분 후에 탈분극과 재 분극 기간인 불응기와 불응기내 파형의 첨도 형태를 이용하여 R-파를 검출하는 방식을 제시하였다. MIT-BIH 부정맥 데이터베이스에 있는 심전도 신호 대한 실험을 통하여 R-파와 유사한 형태의 P-파를 가진 105번과 108번 레코드뿐만 아니라 다른 레코드에서도 기존의 방식보다 비교적 우수한 검출율을 확인하였다.