PVC discrimination using the QRS power spectrum and self-organizing maps.
Comput Methods Programs Biomed
; 94(3): 223-31, 2009 Jun.
Article
in En
| MEDLINE
| ID: mdl-19215994
ABSTRACT
This paper deals with the discrimination of premature ventricular contraction (PVC) arrhythmia using the fractal behavior of the power spectrum density of the QRS complexes. The linear interpolation of the QRS complex power spectrum density in Bode diagram in two different frequency intervals gives two straight lines with two different slopes. The scatter plot of one slope versus the other shows that there exists two distinct regions which represent the normal beats and the PVC beats. Therefore the PVC beats are classified using a self-organizing map fed by the two slopes of the QRS complex power spectrum. The MIT/BIH arrhythmia database is then used to evaluate the usefulness of the proposed method in the discrimination of the premature ventricular contraction (PVC) arrhythmia. The results have indicated that the method has achieved 82.71% of sensitivity and 88.06% of specificity over 46 records from the MIT-BIH arrhythmia database.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Arrhythmias, Cardiac
/
Signal Processing, Computer-Assisted
/
Ventricular Premature Complexes
/
Electrocardiography
Type of study:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Comput Methods Programs Biomed
Journal subject:
INFORMATICA MEDICA
Year:
2009
Document type:
Article
Affiliation country:
Argelia