Why the study?
Does a weighted conditional random fields classifier improve automatic heartbeat classification in ECG signals compared to previous methods?
Population
Real ECG signals from the MIT arrhythmia database
Comparison
Weighted variant of the conditional random… vs Previously reported heartbeat classification…
Design
Other
Authors
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May aid automated ECG analysis of pathological beats; leaves open need for prospective validation before clinical use.
Does a weighted conditional random fields classifier improve automatic heartbeat classification in ECG signals compared to previous methods?
A weighted conditional random fields classifier improves the automatic classification of heartbeats, particularly pathological ones, in ECG signals.
Lannoy et al. (2011) studied this question.
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