Key result
A proposed system digitizes paper ECG recordings, automatically detects R peaks using the fast Fourier transform algorithm, calculates heart rate, and sends SMS alerts for abnormalities.
Why the study?
Most ECG records remain on paper, making manual analysis difficult and time-consuming, prompting the need for digital conversion for automated analysis and diagnosis.
An automated system using FFT and cloud messaging can digitize paper ECGs and alert physicians to abnormal heart rates.
Enables retrospective analysis of archived paper ECGs for AI diagnostics; leaves open prospective validation across diverse clinical settings.
An electrocardiogram (ECG) uses electrodes to monitor the heart rhythm and identify minute electrical changes that occur with each beat. It is employed to investigate particular varieties of aberrant heart activity, such as arrhythmias and conduction problems. One of the most essential tools for detecting heart problems is the electrocardiogram (ECG). The majority of ECG records are still on paper. Manual ECG paper record analysis can be difficult and time-consuming. It is possible to digitally digitize these paper ECG recordings for automated analysis and diagnosis. In this paper, we proposed a system to digitize the ECG paper, automatically detecting R peaks, calculating the average heart rate, and sending SMS to the doctor via cloud in the event of detection of abnormality. The method of the system is uploading an ECG image, then dimensionality reduction, feature extraction in the form of digital signals, and saving it in a CSV file format using the MATLAB programming language. After that, the system retrieves the signals for further processing of the raw signals. We used the fast Fourier transform (FFT) algorithm to calculate R peaks and calculate the heart rate. If the heart rate is abnormal, the system sends SMS messages to doctors via a technology platform (Twilio) using the Python programming language.
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Fathail et al. (2022) studied Arrhythmias and conduction problems. ECG paper digitization and R peaks detection system using FFT was evaluated on R peaks detection and heart rate calculation. A proposed system digitizes paper ECG recordings, automatically detects R peaks using the fast Fourier transform algorithm, calculates heart rate, and sends SMS alerts for abnormalities.