Spatial dispersion of ECG waves obtained by body surface potential mapping allowed the separation of patients after myocardial infarction from healthy subjects.
Observational
Does body surface potential mapping using a 64-channel high-resolution ECG system allow the separation of patients after myocardial infarction from healthy subjects?
Body surface potential mapping using a 64-channel high-resolution ECG system can differentiate patients with prior myocardial infarction from healthy subjects based on ECG wave shape dispersion.
The spatial distribution of the shape of the electrocardiography (ECG) waves obtained by body surface potential mapping (BSPM) is studied, using a 64-channel high-resolution ECG system. The index associated to each lead is the shape difference between its ECG wave and a reference computed taking into account all the leads on the same column. The reference is either a selected real wave or a synthetic signal computed by integral shape averaging (ISA). Better results are obtained with the ISA signal using the distribution function method (DFM) for computing the shape difference. The spatial dispersion of ECG waves is showed to allow the separation of patients after myocardial infarction (MI) from healthy subjects. In addition, the reference signal position for each column is computed. The path linking these positions appears as an invariant, i.e., it is independent of the subject and the ECG wave.
Khaddoumi et al. (Fri,) conducted a observational in Myocardial infarction. Body surface potential mapping (BSPM) spatial dispersion of ECG waves vs. Healthy subjects was evaluated on Separation of patients after myocardial infarction from healthy subjects. Spatial dispersion of ECG waves obtained by body surface potential mapping allowed the separation of patients after myocardial infarction from healthy subjects.
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