This document discusses understanding ECG signals in a database and building a computer model to analyze them. It notes that ECGs can reveal many heart problems and challenges include missing data, incomplete records, and abnormal data. It proposes extracting features from records and using techniques like PCA. A referenced study describes a dynamical model for generating synthetic ECG signals that models the placement and shape of peaks, breathing, and heartbeat variations. The goal is to understand normal behavior before detecting abnormalities.