A wavelet transform method based on the Mexican Hat wavelet successfully located the onset, termination, and durations of individual ECG components across heart rates of 46 to 184 beats per minute.
Observational (n=21)
A Mexican Hat wavelet transform method can precisely locate and characterize the timing variations of ECG components across a wide range of heart rates.
This paper reports the use of a wavelet analysis technique based on the Mexican Hat wavelet to identify the onset and termination points and the duration of the principal constituent components of the human electrocardiogram (ECG). ECG recordings were obtained from 21 healthy subjects aged between 13 and 65 years, over a wide range of heart rates extending from 46 to 184 beats min(-1). A wavelet transform method was then used to locate precisely the positions of the onset, termination and the durations of individual components in the ECG. Component times were then classified according to the heart rate associated with the cardiac cycle to which the component belonged. Second order equations of the form formula in text were fitted to the data obtained for each component to characterize its timing variation.
Mj et al. (Thu,) conducted a observational in Healthy subjects (n=21). Wavelet analysis technique based on the Mexican Hat wavelet was evaluated on Identification of the onset, termination points, and duration of the principal constituent components of the human electrocardiogram (ECG). A wavelet transform method based on the Mexican Hat wavelet successfully located the onset, termination, and durations of individual ECG components across heart rates of 46 to 184 beats per minute.
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