• DocumentCode
    1287461
  • Title

    A comparison of four new time-domain techniques for discriminating monomorphic ventricular tachycardia from sinus rhythm using ventricular waveform morphology

  • Author

    Throne, Robert D. ; Jenkins, Janice M. ; DiCarlo, Lorenzo A.

  • Author_Institution
    Pritzker Inst. of Med. Eng., Chicago, IL, USA
  • Volume
    38
  • Issue
    6
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    561
  • Lastpage
    570
  • Abstract
    The authors have designed four new computationally efficient time-domain algorithms for distinguishing ventricular electrograms during monomorphic ventricular tachycardia (VT) from those during sinus rhythm using direct analysis of the ventricular electrogram morphology. All four techniques are independent of amplitude fluctuations and three of the four are independent of baseline changes. These new techniques were compared to correlation waveform analysis, a previously proposed method for distinction of VT from sinus rhythm. Evaluation of these four new algorithms was performed on data from 19 consecutive patients with 31 distinct monomorphic ventricular tachycardia morphologies. Three of the algorithms performed as well as or better than correlation waveform analysis but with one-tenth to one-half the computational demands.
  • Keywords
    computerised signal processing; electrocardiography; amplitude fluctuations; baseline changes; computationally efficient time-domain algorithms; correlation waveform analysis; monomorphic ventricular tachycardia; sinus rhythm; time-domain techniques; ventricular waveform morphology; Algorithm design and analysis; Detection algorithms; Fibrillation; Fluctuations; Laboratories; Medical treatment; Morphology; Rhythm; Stability; Time domain analysis; Aged; Algorithms; Atrial Fibrillation; Diagnosis, Computer-Assisted; Electrocardiography; Female; Humans; Male; Middle Aged; Signal Processing, Computer-Assisted; Tachycardia;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.81581
  • Filename
    81581