FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF EMPIRICAL MODE DECOMPOSITION ALGORITHM FOR ELECTROCARDIOGRAM PROCESSING

The electrocardiogram (ECG) signal contains important information that is utilized by physicians for the diagnosis and analysis of heart diseases. Therefore, good quality ECG signal is required. Hilbert-Huang transform (HHT) is a method to analyze non-stationary and non-linear signals. Empirical mode decomposition (EMD) is the core of HHT. EMD breaks down signals into smaller number of components. These components form a complete and nearly orthogonal basis for the original signal. This algorithm is implemented on field-programmable gate array using the process of extrema generation, envelope generation, and stopping criterion.Â

Characterization of Seismic Responses in Mexico City Using Hilbert-Huang Transform

In this investigation, we present the Hilbert-Huang transform (HHT) as an alternative technique, which has advantage over other methods for extracting useful data of seismic ground response. The HHT, integrated with the empirical mode decomposition (EMD) and the Hilbert transformation (HT), enables engineers to analyze data from nonlinear and nonstationary processes. The product of the transformation is a detailed description of time-varying frequency diagrams. The recordings of accelerations of soft-soil deposits in Mexico City are studied under this technique. Results of the analysis of accelerograms indicate that this adaptive decomposition permits the extraction motion characteristics, which cannot be effectively unraveled by other conventional data processing techniques. The findings and conclusions derived from studies such as the one presented here contribute to a better understanding of seismic response patterns