This paper aims at providing efficient and accurate analysis of the cardiac activity of patient acquired from Electrocardiogram and Ballistocardiogram (BCG) signals using discrete multiwavelets de-noising analysis. The functioning of heart is studied from the Electrocardiogram (ECG), a noninvasive technique recorded
by using skin electrodes and from BCG, an electrode-less technique that calculates the fitness of the heart. The setup of BCG and ECG was successfully made. The corresponding signals acquired, to calculate the cardiac output with respect to the parameters like R peak of ECG, J peak of BCG and R-J interval. Efficient analysis of ECG and BCG were done after removing the baseline drift and power line interference. Coiflet, Daubechies wavelets and multiwavelets were used to study the performance for better denoising and pre- processing to extract the features. Multiwavelet was found to be a better choice for finding the optimum
performance of heart activity. 20 subjects (Normal life style adults and athletes) recordings have been taken for study and analysis on heart rate and cardiac output were made for each subject. The analyses were made 2 times a day (Morning and Night) to determine the index in evaluating the fitness of the heart.
Cardiac output of athletes was found to be better than normal subjects.
M. Ganesan and Sumesh, E. P., “Analysis of Ballistocardiogram with Multiwavelets in Evaluation of Cardiac Fitness”, Journal of Theoretical and Applied Information Technology , vol. 77, 2015.