Affiliations: [a] Department of EEE, EBET Group of Institutions, Kangayam, Tamil nadu, India | [b] Department of EEE, K.S.R College of Engineering, Tiruchengode, Tamil nadu, India
Correspondence:
[*]
Corresponding author: A. Sampath, Department of EEE, EBET Group of Institutions, Kangayam, Tamil nadu, India. E-mail: sampath461@gmail.com
Abstract: Electrocardiogram (ECG) is almost recurrent
signals that express the activity of the heart. A large amount of
information on the normal and pathological physiology of heart can be
acquired from ECG. However, the ECG signals being non-stationary in nature,
it is very hard to visually examine them. Thus the need is there for
computer built methods for ECG signal analysis. This paper has been
stimulated by the need to find an effective method for ECG signal analysis
which is common and has excellent accuracy and minimum computation time. The
initial task for efficient analysis is the removal of noise. It actually
involves the extraction of the needed cardiac components by degeneration of
the background noise. Enhancement of signal is attained by the use of
multi-resolution feature extraction using DWT decomposition method. Use of
this was influenced by its adaptive nature. The second task is that of P,
QRS complex and T wave peak detection which is performed by the use of
multi-resolution adaptive threshold method executed with DWT. The
experiments are carried out on MIT-BIH database and PTB diagnostic ECG
database. The results show %that our
the
proposed method is very effective and an
efficient method for computation of P, QRS complex and T wave peak detection.
