January 1, 2013The Scientific World JOURNALOpen Access

A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

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Population

Electrocardiogram (ECG) signals with baseline wander

Authors

YLYurong LuoQingdao University RHRosalyn Hobson HargravesVirginia Commonwealth University ABAshwin BelleVirginia Commonwealth University

Discussion

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Implication

May enhance ECG preprocessing accuracy; leaves open clinical validation before practice change.

Structured PICO

Population

Electrocardiogram (ECG) signals with baseline wander

Intervention

Hierarchical method including a blind source separation (BSS) step (independent component analysis)

Outcome

Removal of baseline wander and accuracy of extracted features (e.g., timing and duration of ST-segment)surrogate

A novel hierarchical method utilizing independent component analysis effectively removes baseline wander from ECG signals, potentially improving the accuracy of automated ECG analysis.

Cite This Study

Luo et al. (2013) studied this question.

synapsesocial.com/papers/6a70d64535aa2c282ce2292c https://doi.org/10.1155/2013/896056

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A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

A Hierarchical Method for Removal of Baseline Drift from Biomedical Signals: Application in ECG Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider