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Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
Published on: May 23, 2021
[Validation of trend-supported ST segment analysis of long-term ECG recordings]
1Medizinische Klinik, Universität Heidelberg, Abteilung III (Kardiologie, Angiologie, Pulmologie).
Insights
Time constant selection is crucial for accurate ischemia detection during Holter monitoring. Longer time constants (≥32s) can underestimate ST-segment deviations, while posture-related changes are identifiable in ST-segment trends.
Area of Science:
- Cardiology
- Medical Instrumentation
Context:
- Holter monitoring is vital for identifying cardiac ischemia.
- Trend recordings of ST-segment deviations aid in detecting ischemia-like episodes.
- The impact of filter time constants on ischemia detection sensitivity and specificity is unclear.
Purpose:
- To investigate the influence of filter time constants on the accuracy of ST-segment trend analysis.
- To evaluate the detectability of posture-related electrocardiogram (ECG) changes in ST-segment trends.
Summary:
- Simulated ischemia-like episodes revealed that time constants of 32s or greater underestimated short-lasting ST-segment deviations.
- Posture-related ST-segment changes, characterized by abrupt onset/offset and box-like shape, were correctly identified in trend analysis.
- A study involving 35 coronary artery disease (CAD) patients and 35 controls assessed the frequency of posture-related ST-segment changes.
Impact:
- Optimizing filter time constants in Holter monitoring can improve the accuracy of ischemia detection.
- Understanding posture-related ECG changes enhances diagnostic precision, reducing false positives.
- This research contributes to refining ECG analysis techniques for better patient outcomes.
Abstract:
Trend recordings of relative ST-segment deviations represent a useful tool for the identification of ischemia-like episodes during Holter monitoring. For the generation of trend recordings beat-to-beat data are filtered. The influence of the time constant of the filter on the sensitivity and the specificity for the detection of ischemia-like ECG changes is unknown, however. Ischemia-like episodes were, therefore, simulated and recorded by a frequency modulated Holter recorder and by a conventional six-channel ECG system. Relative ST-segment deviations were filtered using a time constant of 8, 16, 32 or 64 s, or an arithmetic averaging over 9 s for the generation of ST-segment trends. The magnitude of short-lasting ST-segment deviations was underestimated, when beat-to-beat data were filtered using time constants of greater than or equal to 32 s. The influence of posture-related ECG changes on the ST-segment trends was investigated by recording lead CM5 in 14 consecutive patients in different positions by a conventional ECG system. Four out of the 14 patients developed ST-segment elevations greater than or equal to 0.1 mV during leftsided position. Only in these four patients were ST-segment deviations of similar magnitude recorded during the following Holter monitoring. The posture-related ST-segment changes were characterized by an abrupt onset and an abrupt end, resulting in a box-like shape which enabled their correct identification in the ST-segment trend analysis. In order to determine the relative frequency of posture-related ST-segment changes, 35 patients with coronary artery disease (CAD) and 35 patients without underwent Holter monitoring.(ABSTRACT TRUNCATED AT 250 WORDS)
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