What question did this study set out to answer?

To evaluate whether a smartphone-based pulse-acquisition algorithm can accurately differentiate normal sinus rhythm, atrial fibrillation, and premature contractions.

January 1, 2015IEEE Journal of Biomedical and Health InformaticsOpen Access

Arrhythmia Discrimination using a Smart Phone

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Why the study?

Does a smartphone-based algorithm accurately discriminate between normal sinus rhythm, atrial fibrillation, premature ventricular contractions, and premature atrial contractions?

Key Points

To evaluate whether a smartphone-based pulse-acquisition algorithm can accurately differentiate normal sinus rhythm, atrial fibrillation, and premature contractions.
Enrolled 99 subjects, including 88 patients with atrial fibrillation at baseline and in normal sinus rhythm after electrical cardioversion, 7 with premature atrial contractions, and 4 with premature ventricular contractions.
Recorded 2-minute pulsatile time series using a smartphone and analyzed heart rhythm dynamics using the root mean square of successive RR differences, Shannon entropy, Poincaré plots, and pulse rise and fall times.
Detected normal sinus rhythm with a specificity of 0.9886.
Discriminated premature ventricular contractions from atrial fibrillation with a sensitivity of 0.9684.
Discriminated premature atrial contractions from atrial fibrillation with a sensitivity of 0.9783.

Structured PICO

Does a smartphone-based algorithm accurately discriminate between normal sinus rhythm, atrial fibrillation, premature ventricular contractions, and premature atrial contractions?

Population

99 subjects, including 88 with atrial fibrillation (AF) at baseline and in normal sinus rhythm (NSR) after electrical cardioversion, 7 with premature atrial contractions (PACs), and 4 with premature ventricular contractions (PVCs)

Intervention

Smartphone-based arrhythmia discrimination algorithm analyzing 2-minute pulsatile time series

Outcome

Specificity of detecting normal sinus rhythm and sensitivity of discriminating PVCs and PACs from atrial fibrillationsurrogate

A smartphone-based algorithm using pulsatile time series can accurately discriminate between normal sinus rhythm, atrial fibrillation, premature ventricular contractions, and premature atrial contractions.

Discussion

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Implication

May aid preliminary smartphone rhythm screening; leaves open prospective validation before clinical adoption.

Cite This Study

Chong et al. (2015) studied this question.

synapsesocial.com/papers/6a762f421ce449dc42709900 https://doi.org/10.1109/jbhi.2015.2418195

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Arrhythmia Discrimination using a Smart Phone

Key Points

Structured PICO

Discussion

Implication

Cite This Study

Arrhythmia Discrimination using a Smart Phone

Key Points

Structured PICO

Discussion

Implication

Cite This Study

Also Consider

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