Key result
Analysis of 36 normal ECG traces demonstrated very low variability in time and amplitude parameters within the same lead, establishing quantitative descriptive tables for heart-healthy patterns.
Observational (n=36)
The study provides a quantitative baseline for time and amplitude variability in normal sinus rhythm ECGs using wavelet transforms and modified Pan-Tompkins algorithms.
Establishes preliminary quantitative norms for normal ECG variability; leaves open validation in prospective cohorts before any diagnostic use.
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.
No takes yet. Share an insight, caveat, or question.
Casas et al. (2014) conducted an observational in Normal Sinus Rhythm (n=36). ECG waveform analysis was evaluated on Time and amplitude variability of ECG waveforms. Analysis of 36 normal ECG traces demonstrated very low variability in time and amplitude parameters within the same lead, establishing quantitative descriptive tables for heart-healthy patterns.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: