This book proposes a new combination method for classifying normal heartbeats and other abnormalities. The MITBIH arrhythmia database was used as the data source in this study. In the preprocessing stage Wavelet Transform is used to provide an informative representation for removing noise and tuning to the morphological characteristics of the waveform features. For feature extraction, a set of features that consists of both morphological and temporal features is used.
I developed Analysis and Diagnosis of Cardiac Signals (ECG) using the Wavelet Techniques. My dissertation focuses on a single topic, other areas that interests me for my future research stem from my goal of developing improved analytical models and methods for design, evaluation, and upgrade of biosignals processing systems.
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LAP LAMBERT Academic Publishing
ECG classification, wavelet transform, cardio, rythm
BUSINESS & ECONOMICS / General