Why the study?
Does a mobile phone-based real-time ECG signal processing system accurately detect cardiac arrhythmias in ambulatory patients?
Population
Continuous ambulatory cardiovascular patients
Design
Other
Key result
The proposed real-time ECG signal processing algorithm using a mobile phone achieved a sensitivity of 96.97% and a positive predictivity of 95.63% for QRS detection.
Authors
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May support mobile ECG QRS detection; leaves open prospective validation for arrhythmia screening in patients.
Does a mobile phone-based real-time ECG signal processing system accurately detect cardiac arrhythmias in ambulatory patients?
A mobile phone-based ECG processing algorithm using Hilbert transform demonstrated high sensitivity and positive predictivity for detecting cardiac arrhythmias.
Raeiatibanadkooki et al. (2014) studied Cardiac arrhythmia (n=73). Mobile phone-based real-time ECG signal processing algorithm (IIR filter and Hilbert transform) vs. Other QRS detection algorithms was evaluated on Sensitivity and positive predictivity for QRS detection. The proposed real-time ECG signal processing algorithm using a mobile phone achieved a sensitivity of 96.97% and a positive predictivity of 95.63% for QRS detection.