메뉴 건너뛰기




Volumn 32, Issue , 2005, Pages 483-486

Detect short run of TWA event with time-domain algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FREQUENCY DOMAIN ANALYSIS; TIME DOMAIN ANALYSIS; TRAVELING WAVE ANTENNAS;

EID: 33847106922     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2005.1588142     Document Type: Conference Paper
Times cited : (10)

References (5)
  • 2
    • 0036090028 scopus 로고    scopus 로고
    • Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy
    • Nearing BD and Verrier RL. Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy. J. Appl Physiol. Vol 92, 541-549, 2002
    • (2002) J. Appl Physiol , vol.92 , pp. 541-549
    • Nearing, B.D.1    Verrier, R.L.2
  • 3
    • 33847091594 scopus 로고    scopus 로고
    • Effect of Noise on the Frequency and Time Domain Methods of T Wave Alternans
    • Xue JQ, Rowlandson GI, Effect of Noise on the Frequency and Time Domain Methods of T Wave Alternans. Proc. Computer in Cardiology 2005
    • (2005) Proc. Computer in Cardiology
    • Xue, J.Q.1    Rowlandson, G.I.2
  • 4
    • 28144446079 scopus 로고    scopus 로고
    • Improving T-Wave Alternans Measurement Quality by Reducing Noise and Artifacts
    • Kaiser W. et. al. Improving T-Wave Alternans Measurement Quality by Reducing Noise and Artifacts Computers in Cardiology 2004
    • (2004) Computers in Cardiology
    • Kaiser, W.1    et., al.2
  • 5
    • 14844283547 scopus 로고    scopus 로고
    • Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages;
    • Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220 [Circulation Electronic Pages;


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.