Key result
An algorithm deploying least squares error correction and median-based correction successfully reduced baseline drift in ECG signals to a near-zero value.
Population
ECG signals with baseline drift
Design
Other
Authors
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May aid ECG analysis in research; leaves open prospective validation before clinical use.
A Matlab-based algorithm using least squares error and median-based correction effectively removes baseline drift from ECG signals, aiding in visual inspection and computerized detection of wave complexes.
Chouhan et al. (2007) studied ECG baseline drift. Algorithm for baseline drift removal was evaluated on Removal of baseline drift. An algorithm deploying least squares error correction and median-based correction successfully reduced baseline drift in ECG signals to a near-zero value.
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