August 17, 2012Physiological Measurement

QRS detection based ECG quality assessment

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Population

ECG recordings from the Computing in Cardiology Challenge 2011 training and test sets

Authors

DHDieter HaynAustrian Institute of Technology BJBernhard JammerbundAustrian Institute of Technology GSG. SchreierAustrian Institute of Technology

Discussion

Member takes

Implication

May enable real-time ECG feedback on mobile platforms; leaves open prospective clinical validation before adoption.

Structured PICO

Population

ECG recordings from the Computing in Cardiology Challenge 2011 training and test sets

Intervention

Advanced Matlab-based algorithm combining four ECG quality measures (empty lead, spike detection, lead crossing point, and QRS detection robustness) and a simplified Android algorithm excluding the QRS detection measure

Outcome

Classification accuracy of ECG signal qualitysurrogate

An advanced algorithm combining four ECG quality measures achieved high accuracy in classifying ECG quality, while a simplified version offers a faster alternative for real-time feedback on mobile platforms.

Cite This Study

Hayn et al. (2012) studied this question.

synapsesocial.com/papers/6a763559a847c67f5a61461d https://doi.org/10.1088/0967-3334/33/9/1449

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QRS detection based ECG quality assessment

Discussion

Member takes

Implication

Structured PICO

Cite This Study

QRS detection based ECG quality assessment

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider