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Published on: June 5, 2019
Intraindividual variability in electrocardiograms
Bob J A Schijvenaars1, Gerard van Herpen, Jan A Kors
1Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.
Insights
Intraindividual variability in electrocardiogram (ECG) recordings, from technical or biological sources, can hinder accurate cardiac diagnosis. Standardizing protocols and adapting criteria can improve ECG interpretation reliability.
Area of Science:
- Cardiology
- Biomedical Engineering
Background:
- Electrocardiogram (ECG) interpretation is crucial for diagnosing cardiac conditions.
- Intraindividual variability, variations within the same individual over time, complicates serial ECG analysis and diagnostic accuracy.
Purpose of the Study:
- To identify and categorize sources of intraindividual variability affecting ECG recordings.
- To discuss strategies for mitigating the impact of variability on ECG interpretation.
Main Methods:
- Distinguished between technical sources (e.g., electrode positioning) and biological sources (e.g., respiration, age, weight) of variability.
- Reviewed existing literature and clinical practices related to ECG acquisition and interpretation.
Main Results:
- Electrode positioning is a significant technical source of confusing variability.
- Biological sources like respiration, age, and weight also contribute to variability on different time scales.
- Standardized acquisition protocols are essential for minimizing technical variability.
Conclusions:
- Rigorous adherence to standard ECG acquisition protocols can prevent technical variability.
- Adapting interpretation criteria for factors like age and weight, and potentially using computer modeling, may correct for biological variability.
Abstract:
The electrocardiogram (ECG) can be affected by intraindividual variations from various sources that may confuse the diagnosis of the underlying cardiac condition and impair the accuracy of ECG interpretation. Intraindividual variability is a hindrance in serial ECG analysis, where ECGs of the same individual, but taken at different times, are compared. Two sources of intraindividual variability can be distinguished as follows: variability related to the technical circumstances during ECG recording (technical sources) and nonpathologic biologic variability (biological sources). Among the technical sources, variation in electrode positioning between recordings is the most confusing. Of the biological sources, respiratory variations are effective at any time scale, but the most important are age and weight that work on prolonged time scales. Technical problems are best prevented by rigorously sticking to a standard acquisition protocol. Criteria can be adapted to changing circumstances (age, weight), and by computer modeling, it may be possible to correct the ECG diagnosis for some sources of intraindividual variability.
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