Automatic detection of premature ventricular contraction beat using morphological transformation and cross-correlation

This paper presents a premature ventricular contraction beat (PVC) detection algorithm based on morphological transformation and cross-correlation technique. A modified morphological filtering (MMF) technique is used for signal preprocessing and Multiscale Morphological Derivative (MMD) is performed on the MMF conditioned signal to detect each ECG beat present in the signal. A template beat is chosen and compared with the rest ECG beats using cross-correlation technique. PVC beats are then detected using a decision parameter which is a linear function of two equally weighted indices. One of the indices is linearly dependent on inter-beat duration and the other is an exponential function of the cross-correlation coefficient between template beat and the ECG beat. Potential of this proposed method was examined using MIT-BIH arrhythmia database. Results show high sensitivity (96.67%) and specitivity (95.2%) on premature beat recognition.

[1]  M. Reddy,et al.  Automatic detection of PVCs using autoregressive models , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

[2]  J. Y. Wang,et al.  The design and evaluation of a new multi-lead arrhythmia monitoring algorithm , 1999, Computers in Cardiology 1999. Vol.26 (Cat. No.99CH37004).

[3]  C. Chiu,et al.  USING CORRELATION COEFFICIENT IN ECG WAVEFORM FOR ARRHYTHMIA DETECTION , 2005 .

[4]  R.C. Arzbaecher,et al.  Evaluation of techniques for recognition of ventricular arrhythmias by implanted devices , 1989, IEEE Transactions on Biomedical Engineering.

[5]  Chun-Lung Chang,et al.  Validation of automated arrhythmia detection for Holter ECG , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[6]  M D Klein,et al.  Computer detection of ventricular ectopic beats. , 1970, Computers and biomedical research, an international journal.

[7]  Shankar Muthu Krishnan,et al.  ECG signal conditioning by morphological filtering , 2002, Comput. Biol. Medicine.

[8]  D. Ge,et al.  Cardiac arrhythmia classification using autoregressive modeling , 2002, Biomedical engineering online.

[9]  Manuel Blanco-Velasco,et al.  ECG signal denoising and baseline wander correction based on the empirical mode decomposition , 2008, Comput. Biol. Medicine.

[10]  K. Chan,et al.  Characteristic wave detection in ECG signal using morphological transform , 2005, BMC cardiovascular disorders.