What does this research mean for the field?

A method utilizing a mathematical model to simulate QRS complexes and examine distances in feature space can effectively evaluate and identify poorly described shape transitions in ECG waveform features. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

October 1, 1981IEEE Transactions on Biomedical EngineeringOpen Access

A Method for Evaluation of QRS Shape Features Using a Mathematical Model for the ECG

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Population

Simulated QRS complexes generated using a mathematical model

Design

Other

Authors

LSLeif SörnmoElectrophysiology PBPer Ola BörjessonLund University MNMats‐Erik NygårdsLinköping University

Discussion

Member takes

Implication

May aid QRS feature refinement for ECG classifiers; leaves open clinical utility pending validation.

Structured PICO

Population

Simulated QRS complexes generated using a mathematical model

Intervention

A method for evaluating the properties of features that describe the shape of a QRS complex by examining distances in the feature space

Outcome

Identification of shape transitions poorly described by the feature under investigation

Presents a mathematical modeling method to evaluate and improve automated ECG pattern classification by analyzing QRS shape features.

Cite This Study

Sörnmo et al. (1981) studied this question.

synapsesocial.com/papers/6a1c91c394dbf6307b2fef71 https://doi.org/10.1109/tbme.1981.324666

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A Method for Evaluation of QRS Shape Features Using a Mathematical Model for the ECG

Discussion

Member takes

Implication

Structured PICO

Cite This Study

A Method for Evaluation of QRS Shape Features Using a Mathematical Model for the ECG

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

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