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January 1, 2014Acta Informatica Medica18 citationsOpen Access

Real Time Processing and Transferring ECG Signal by a Mobile Phone

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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

MRMahsa RaeiatibanadkookiSQSaeed QuachaniMKMohammadmahdi Khalilzade

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Overview

May support mobile ECG QRS detection; leaves open prospective validation for arrhythmia screening in patients.

Structured PICO

Does a mobile phone-based real-time ECG signal processing system accurately detect cardiac arrhythmias in ambulatory patients?

P
Population
73 ECG records from the MIT-BIH arrhythmia database and a long-term atrial fibrillation database used to evaluate a mobile ECG processing algorithm.
I
Intervention
Real-time ECG signal processing system based on mobile phones using an IIR low-pass filter (55 Hz cutoff frequency, order 3) and Hilbert transform for R peak detection
O
Outcome
Algorithm sensitivity and positive predictivity for detecting arrhythmiassurrogate

A mobile phone-based ECG processing algorithm using Hilbert transform demonstrated high sensitivity and positive predictivity for detecting cardiac arrhythmias.

Cite This Study

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.

synapsesocial.com/papers/6aa4622bd8b46ca141097490https://doi.org/10.5455/aim.2014.22.389-392
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