Temporal and postural variation of 12-lead high-frequency QRS electrocardiographic signals in asymptomatic individuals

Computer aided ECG analysis — State of the art and upcoming challenges

“…Another challenge in computer aided ECG analysis is a fact that ECG is considered biometric characteristic which means that every person has individual ECG signature. Although most of the people have similar ECG manifestation there is part of population which has significant deviations in normal ECG or in pathological states [42]. Algorithms that could cover those cases should be capable of learning what is in fact normal wave morphology for each particular patient and then report identified misalignments if they occur.…”

High-frequency electrocardiogram analysis in the ability to predict reversible perfusion defects during adenosine myocardial perfusion imaging

“…It is known that sitting up causes changes in HF-QRS compared to lying in the supine position (for example RMS voltage decreasing significantly in lead V3, and the number of RAZs lost in the 12 leads significantly exceeding the number of RAZs gained) (14). The %∆RMS values might therefore be different in the supine patients than in the cycling patients.…”

“…The autonomic nervous system also might affect HF-QRS. For example, changing from supine to upright position causes significant change in HF-QRS in some leads compared with the supine position (14).…”

High‐frequency QRS electrocardiogram

“…It has also been suggested that the autonomic nervous system affects HF-QRS. For example, changing positions from supine to sitting causes significant changes in HF-QRS in some leads (Douglas et al, 2006). Athletic individuals, especially elite athletes, who have vagally mediated changes on the conventional ECG (i.e.…”

“…It has also been suggested that the autonomic nervous system affects HF‐QRS. For example, changing positions from supine to sitting causes significant changes in HF‐QRS in some leads (Douglas et al. , 2006).…”