January 1, 2018Journal of The Royal Society InterfaceOpen Access

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

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Design

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Authors

ALAurore LyonElectrophysiology AMAna MincholéElectrophysiology JMJuan Pablo MartínezUniversidad de Zaragoza

Discussion

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Implication

Computational ECG tools warrant caution before clinical adoption; leaves open need for prospective validation trials.

Structured PICO

Intervention

Computational techniques (machine learning and 3D computer simulations) for ECG analysis

Computational methods such as machine learning and 3D simulations represent a strong asset for advancing ECG analysis, enabling better heartbeat classification, real-time diagnosis, and personalized medicine.

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Lyon et al. (2018) studied this question.

synapsesocial.com/papers/69d56d2f75589c71d767cfe1 https://doi.org/10.1098/rsif.2017.0821

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Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider