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May 1, 2001IEEE Transactions on Biomedical Engineering

The correction procedure reduced RV from 0.40 to 0.06 in simulated data, but demonstrated no reduction when applied to measured ECG data.

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Why the study?

Does a geometrical correction procedure reduce interindividual variability in multilead ECG recordings in healthy subjects?

Population

25 healthy subjects (individual heart-lung-torso geometry used for simulation study)

Comparison

Correction procedure for geometrical factors… vs Uncorrected measured ECG data

Design

Other

Authors

RHR. HoekemaGUG.J.H. UijenAOA. van Oosterom

Discussion

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Member takes

Overview

Correction ineffective on measured ECGs; leaves open whether refined inverse methods can address geometrical variability in clinical recordings.

Structured PICO

Does a geometrical correction procedure reduce interindividual variability in multilead ECG recordings in healthy subjects?

P
Population
25 healthy subjects (individual heart-lung-torso geometry used for simulation study)
I
Intervention
Correction procedure for geometrical factors based on inverse computation of a cardiac equivalent source
C
Comparator
Uncorrected measured ECG data
O
Outcome
Measure of overall variability (RV)surrogate

While geometrical factors account for a significant portion of ECG variability, current inverse computation methods are insufficient to correct for this in real-world measured ECG data.

Limitations

  • Inverse computation of a cardiac equivalent source is of insufficient quality at present

Cite This Study

Hoekema et al. (2001) studied this question.

synapsesocial.com/papers/6a1a7c4477ec05d9a7b89aa2https://doi.org/10.1109/10.918594
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