Related Experiment Video
Updated: Jan 23, 2026

Ambulatory ECG Recording in Mice
Published on: May 27, 2010
Importance of over-reading ambulatory ECG-based microvolt T-wave alternans to eliminate three main sources of
Nobuhiro Takasugi1, Hiroko Matsuno1, Mieko Takasugi2
1Gifu University Hospital, Gifu, Japan.
Background:
Ambulatory electrocardiogram (ECG)-based microvolt T-wave alternans values measured by the modified moving average method (MMA-TWA) can be disrupted by T-wave changes that mimic true repolarization alternans.
Methods:
We investigated potential sources of measurement error by studying 19 healthy subjects (12 men; median age, 25) free of known heart disease with 36-month follow-up to establish freedom from significant arrhythmia or syncope. All participants underwent 24-hr continuous 12-lead ECG monitoring. Causes of automated MMA-TWA ≥42 µV episodes were classified based on visual inspection.
Results:
A total of 2,189 episodes of automated MMA-TWA episodes ≥42 µV were observed in all subjects (peak MMA-TWA: median, 94 μV; interquartile range, 81-112 μV). All episodes included one or more beats with T-wave deformation which lacked "repeating ABAB pattern" and therefore were identified as TWA measurement error. Causes of such error were categorized as: (a) artifact [72.6% (1,589/2,189), observed in 19 (100%) subjects], more frequently in limb than precordial leads; (b) T-wave changes due to changes in heart/body position [25.5% (559/2,189), observed in 14 (73.7%) subjects], frequently observed in leads V1-2; and (c) postextrasystolic T-wave changes [1.9% (41/2,189), observed in 2 (10.5%) subjects].
Conclusions:
Relying only on automated MMA-TWA values obtained during ambulatory ECG monitoring can lead to incorrect measurement of TWA. Our findings offer the potential to reduce false-positive TWA results and to achieve more accurate detection of true repolarization alternans.
Insights
Automated microvolt T-wave alternans (TWA) measurements can be inaccurate due to non-alternans T-wave changes. Identifying these errors improves the detection of true repolarization alternans during ambulatory ECG monitoring.
Area of Science:
- Cardiology
- Biomedical Engineering
- Signal Processing
Background:
- Ambulatory electrocardiogram (ECG)-based microvolt T-wave alternans (TWA) measured by the modified moving average method (MMA-TWA) can be disrupted by T-wave changes mimicking true repolarization alternans.
- Accurate TWA measurement is crucial for assessing cardiac repolarization abnormalities.
Purpose of the Study:
- To investigate potential sources of measurement error in automated MMA-TWA.
- To differentiate true TWA from T-wave changes that mimic TWA.
Main Methods:
- Studied 19 healthy subjects undergoing 24-hr continuous 12-lead ECG monitoring.
- Investigated causes of automated MMA-TWA episodes ≥42 µV through visual inspection.
- Classified TWA measurement errors into artifact, positional changes, and postextrasystolic changes.
Main Results:
- A total of 2,189 automated MMA-TWA episodes ≥42 µV were observed.
- The majority of these episodes were identified as measurement errors (99.9%) due to T-wave deformation lacking a repeating pattern.
- Identified causes included artifact (72.6%), positional T-wave changes (25.5%), and postextrasystolic T-wave changes (1.9%).
Conclusions:
- Relying solely on automated MMA-TWA values can lead to incorrect TWA measurements.
- Findings can help reduce false-positive TWA results and improve the detection of true repolarization alternans.
Related Concept Videos
Uncertainty in Measurement: Reading Instruments
Fundamental Attribution Error
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
The Wave Nature of Light
ECG Interpretation of Rhythms
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
Random Error

