연구동향 분석

Electrocardiographic characteristics of significant factors of detected atrial fibrillation using WEMS

Min Soo Kim(김민수) Yoon Nyun Kim(김윤년) Young Chang Cho(조영창) 2015년

논문상세정보
인용/피인용
' Electrocardiographic characteristics of significant factors of detected atrial fibrillation using WEMS' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • arrhythmias
  • atrial fibrillation(af)
  • heartratevariability(hrv)
  • wavelet transform (dwt)
  • wireless electrocardiographic monitoring system(wems)
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
21 0

0.0%

' Electrocardiographic characteristics of significant factors of detected atrial fibrillation using WEMS' 의 참고문헌

  • The wavelet transform, time-frequency localization and signal analysis
    I. Daubechies IEEE Trans. Inform. Theory 36 : 961 ~ 1005 [1990]
  • Role of transtelephonic electrocardiographic monitoring in detecting short-term arrhythmia recurrences after radio frequency ablation in patients with atrial fibrillation
    G. Senatore J. Am. Coll. Cardiol 45 : 873 ~ 876 [2005]
  • QRS complexes detection for ECG signal : the difference operation method
    Y. C. Yeh Comput. Methods Programs Biomed 91 : 245 ~ 254 [2008]
  • Power spectrum analysis of heart rate fluctuation : a quantitative probe of beat-to-beat cardiovascular control
    S. Akselrod Science 213 : 220 ~ 222 [1981]
  • New devices for very long-term ECG monitoring
    S. S. Lobodzinski Cardiol. J 19 : 210 ~ 214 [2012]
  • Methodological aspects of the use of heart rate stratified R-R interval histograms in the analysis of atrioventricular conduction during atrial fibrillation
    N. S. Cai Cardiovasc. Research 21 : 455 ~ 462 [1987]
  • Holter monitoring. Can. Fam.
    E. Guirguis Physician 33 : 985 ~ 992 [1987]
  • Heart rate variability
    M. Malik Futura Pub. Co. Inc. [1995]
  • Heart rate variability
    R. E. Kleiger Futura Pub. Co. Inc. : 33 ~ 45 [1995]
  • Geometric measures of Poincare plots for the detection of small sympathovagal shifts
    T. Thong Proceedings of the 29th Annual International Conference of the IEEE EMBS : 23 ~ 26 [2007]
  • Effect of R-R segment duration on short-term HRV assessment using Poincare plot
    D. Singh Proceeding of ICISIP [2005]
  • ECG feature extraction using Daubechies wavelets
    S. Z. Mahamoodibad Proceedings of Fifth IASTED International Conference. : 343 ~ 348 [2005]
  • Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability?
    M. Brennan IEEE Trans. BME 48 : 1342 ~ 1347 [2001]
  • Comparison of FCM, PCA and WT techniques for classification of ECG arrhythmias using artificial neural network
    R. Ceylan Expert Syst. Appl 33 : 286 ~ 295 [2007]
  • Comparison of Characteristics of P-Wave Detection in ECG with Wireless Patch Electrodes
    조영창 한국산업정보학회논문지 19 (1) : 43 ~ 52 [2014]
  • Auto-detection of R wave in ECG for patch type ECG remote monitoring system
    M. S. Kim Biomed. Eng. Letter 1 : 180 ~ 187 [2011]
  • Atrial fibrillation
    E. P Johan Circulation 106 : 14 ~ 16 [2002]
  • Analysis and Processing of Driver's Biological Signal of Workload
    Y. S. Heo Journal of the Korea Industrial Information System Society 20 : 87 ~ 93 [2015]
  • An introduction to wavelets
    A. Grap IEEE Comput. Sci. Eng. 2 [1995]
  • An approach to cardiac arrhythmia analysis using hidden Markov models
    D. A. Coast IEEE Trans. Biomed. Eng 37 : 826 ~ 836 [1990]
  • A theory for multiresolution signal decomposition : the wavelet representation
    S. Mallet IEEE Trans. Pattern Anal. Mach. Intelligence 11 : 674 ~ 693 [1989]
  • A quantitative analysis approach for cardiac arrhythmia classification using higher order spectral techniques
    L. Khadra IEEE Trans. Biomed. Eng 522 : 1840 ~ 1845 [2005]
  • A fuzzy clustering neural network architecture for classification of ECG arrhythmias
    Y. Ozbay Comput. Biol. Med 36 : 376 ~ 388 [2003]
  • A New Method of ECG Feature Detection Based on Combined Wavelet Transform for u-health Service
    김윤년 Biomedical Engineering Letters (BMEL) 1 (2) : 108 ~ 115 [2011]