Key result
The db4 mother wavelet was the most suitable for eliminating interference in synthetic ECG signals on a microcontroller, achieving the highest mean signal-to-noise ratio of 6.77 and a correlation coefficient of 0.954.
Why the study?
ECG measurements generate noise that can lead to false diagnoses, and wavelet-based noise elimination algorithms are typically developed on computers rather than resource-limited microcontrollers.
A wavelet transform-based noise elimination algorithm implemented on a low-cost microcontroller can accurately process ECG signals, enabling potential use in portable and remote healthcare devices.
Answers are grounded in this paper and cite their sources.
db4 wavelet on microcontrollers may enable low-cost portable ECG denoising; leaves open clinical validation before practice adoption.
The electrocardiogram (ECG) is an important parameter for analyzing the cardiac system. It serves as the primary diagnostic tool for patients with suspected heart disease, guiding appropriate cardiac investigations according to the disease or condition suspected. However, ECG measurements may generate noise, leading to false diagnoses. The wavelet transform is an effective and widely-used technique for eliminating noise. Typically, analysis and generation algorithms are developed on computer and using software built in. This paper presents a noise elimination algorithm based on the wavelet transform method, designed to operate on resource-limited Node microcontroller unit (MCU). An efficiency study was conducted to determine the optimum mother wavelet implementation of the algorithm, and the results showed that, when considering synthetic ECG signals, db4 was the most suitable for eliminating interference by achieving the highest signal to noise ratio (SNR) and correlation coefficient. In addition, this algorithm prototype can analyze ECG signals using the wavelet transform method processed in a microcontroller and is accurate compared to reliable programs. It has the potential to be further developed into a low-cost portable ECG signal measurement tool for use in remote medicine, healthcare facilities in resource-limited areas, education and training, as well as home monitoring for chronic patients.
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Phuphanin et al. (2024) studied ECG signal noise. db4 mother wavelet transform algorithm on Node MCU vs. Other mother wavelets (Haar, db5, db9, coif5, bior3.3, Sym4) was evaluated on Mean Signal-to-Noise Ratio (SNR). The db4 mother wavelet was the most suitable for eliminating interference in synthetic ECG signals on a microcontroller, achieving the highest mean signal-to-noise ratio of 6.77 and a correlation coefficient of 0.954.
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