Currently the Electrocardiogram (ECG) is still an important and conventional tool that represents a pre-diagnosis system in a wide variety of heart diseases. Conventional Electrocardiography pre-diagnosis is based on time variations and ECG waveforms characteristics. Because of this, there are many studies and tables that describe time variations as heart healthy patterns, but there are almost no waveform amplitude variation studies that describe heart healthy patterns in an ECG trace. We reported here a complete evaluation of time and amplitude variations described by a very used ECG database called The PTB Diagnostic ECG Database. In order to measure ECG waveforms patterns in time and amplitude, we used a slightly modified and classic algorithm developed by Pan and Tompkins, as wells as a proposed method based on wavelets. Results show complete descriptive tables that represent a heart-healthy subject both in time amplitude variations.