Literature DB >> 7967834

Adaptive filters for analysis of intra-cardiac signals.

N V Thakor1.   

Abstract

Implantable cardioverters and defibrillators must discriminate malignant ventricular arrhythmias from other supraventricular tachycardias. Electrogram signals are sensed by a single floating endocardial catheter with multiple sensors. The sensors acquire composite atrial and ventricular complexes from atrial and ventricular chambers. Two adaptive filters are utilised to discriminate atrial signals from ventricular signals. The adaptive impulse correlated filter utilises an impulse sequence correlated with the ventricular depolarisations in order to filter the composite signal. This filter should be useful in the analysis of atrial arrhythmias. The adaptive series feedback filter utilises two back-to-back coupled filters to simultaneously extract ventricular depolarisations from one input channel and atrial depolarisations from another channel. This filter should be useful in the analysis of ventricular arrhythmias. Theoretical analysis of the adaptation capabilities of these filters and criteria for convergence are presented. Experimental electrogram recordings are analysed to demonstrate the performance of the two filters. Computational simplicity of these filters makes them particularly suitable for programmable implantable devices.

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Year:  1994        PMID: 7967834     DOI: 10.1007/BF02523323

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  12 in total

1.  Adaptive filter for event-related bioelectric signals using an impulse correlated reference input: comparison with signal averaging techniques.

Authors:  P Laguna; R Jané; O Meste; P W Poon; P Caminal; H Rix; N V Thakor
Journal:  IEEE Trans Biomed Eng       Date:  1992-10       Impact factor: 4.538

2.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection.

Authors:  N V Thakor; Y S Zhu
Journal:  IEEE Trans Biomed Eng       Date:  1991-08       Impact factor: 4.538

3.  Computer discrimination of atrial fibrillation and regular atrial rhythms from intra-atrial electrograms.

Authors:  J Slocum; A Sahakian; S Swiryn
Journal:  Pacing Clin Electrophysiol       Date:  1988-05       Impact factor: 1.976

4.  Ventricular fibrillation detection by a regression test on the autocorrelation function.

Authors:  S Chen; N V Thakor; M M Mower
Journal:  Med Biol Eng Comput       Date:  1987-05       Impact factor: 2.602

5.  Ventricular tachycardia and fibrillation detection by a sequential hypothesis testing algorithm.

Authors:  N V Thakor; Y S Zhu; K Y Pan
Journal:  IEEE Trans Biomed Eng       Date:  1990-09       Impact factor: 4.538

6.  A real-time QRS detection algorithm.

Authors:  J Pan; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1985-03       Impact factor: 4.538

7.  Differentiation of ventricular tachyarrhythmias.

Authors:  K M Ropella; J M Baerman; A V Sahakian; S Swiryn
Journal:  Circulation       Date:  1990-12       Impact factor: 29.690

8.  Evaluation of techniques for recognition of ventricular arrhythmias by implanted devices.

Authors:  K L Ripley; T E Bump; R C Arzbaecher
Journal:  IEEE Trans Biomed Eng       Date:  1989-06       Impact factor: 4.538

9.  The automatic implantable defibrillator.

Authors:  M Mirowski; M M Mower; P R Reid
Journal:  Am Heart J       Date:  1980-12       Impact factor: 4.749

10.  Detection of pathological tachycardia by analysis of electrogram morphology.

Authors:  D W Davies; R J Wainwright; M A Tooley; D Lloyd; A W Nathan; R A Spurrell; A J Camm
Journal:  Pacing Clin Electrophysiol       Date:  1986-03       Impact factor: 1.976

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  1 in total

1.  Rapid measurement of somatosensory evoked potential response to cerebral artery occlusion.

Authors:  P Poon; R C Koehler; N V Thakor
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

  1 in total

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