Automatic and efficient r wave discrimination in the right atrium using a two-state hidden markov model.

Introduction: Discrimination of Car-field R waves from atrial events in atrial electrograms (EGMs) is problematic in present implantable pacing systems. Adjustments of atrial refractory periods and sensitivity settings are the only options, and they will not provide optimal performance in many patie...

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Publicado en:Journal of Cardiovascular Electrophysiology Vol. 10; no. 3; pp. 343 - 351
Autores principales: Sun W, Combs W, Panken E, Fotuhi P, Stangl K, Baumann G, Theres H
Formato: research Journal Article
Publicado: Wiley-Blackwell Mar1999
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar1999
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: Automatic and efficient r wave discrimination in the right atrium using a two-state hidden markov model.
      aug:
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          Sun W
          Combs W
          Panken E
          Fotuhi P
          Stangl K
          Baumann G
          Theres H
      sug:
        subj:
          Cardiovascular System Physiology
          Probability
          Tachycardia, Supraventricular Diagnosis
          Tachycardia, Ventricular Diagnosis
          Adolescence
          Adult
          Aged
          Aged, 80 and Over
          Cardiac Pacing, Artificial
          Diagnosis, Differential
          Electrophysiology Methods
          Female
          Heart Rate
          Heart Ventricle Physiopathology
          Male
          Middle Age
          Predictive Value of Tests
          Reproducibility of Results
          Tachycardia, Supraventricular Physiopathology
          Tachycardia, Supraventricular Therapy
          Tachycardia, Ventricular Physiopathology
          Tachycardia, Ventricular Therapy
          Human
          Adolescent: 13-18 years
          Adult: 19-44 years
          Aged: 65+ years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Female
          Male
      ab: Introduction: Discrimination of Car-field R waves from atrial events in atrial electrograms (EGMs) is problematic in present implantable pacing systems. Adjustments of atrial refractory periods and sensitivity settings are the only options, and they will not provide optimal performance in many patients. The reliable detection or rejection of R waves in atrial EGMs would avoid problems of atrial undersensing or oversensing, thus benefiting DOD patients by providing more reliable and specific atrial arrhythmia detection. In addition, detection of far-field R waves could allow a measurement of AV conduction time in AAI and aid in discrimination of supraventricular tachyarrhythmia from ventricular tachyarrhythmia. Methods and Results: Both atrial and ventricular unipolar EGMs were collected from 25 patients undergoing pacemaker implant or replacement. An average of 141 seconds of intrinsic or VVI paced EGMs was recorded and post analyzed. A new two-state hidden Markov model (HMM) was developed specifically for far-field R wave and P wave discrimination in the atrium. The recorded patients' EGMs were analyzed using this model, and the sensitivity and positive predictivity of far-field R wave detection were evaluated. The collected atrial EGMs were visually examined and marked as the control for verification of the detection analysis. Ear-field R wave detection using this model had an overall sensitivity of 94% ± 9.4% and a positive predictivity of 98.3% ± 4.4%; and the far-field R wave rejection using the same model had a sensitivity and a positive predictivity of 98.8% ± 3.8% and 99.1% ± 1.7%, respectively. Conclusion: Ear-field R wave detection in the right atrium by the two-state HMM is reliable and accurate, and can significantly improve atrial arrhythmia management for patients.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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