Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …

Critical healthcare application tasks require a real-time response because it affects patients'
life. Fog computing is the best solution to get a fast response and less energy consumption …

The heart plays a crucial role in pumping blood to our organs. However, without early
detection of heart disease (HD), the outcomes can be fatal. That's why it is crucial to …

The use of deep learning models in the classification of medical diseases has evolved
drastically in recent years. One such prominent application was in the classification of ECG …

Electrocardiograms (ECG) are non-invasive signals and have proven useful in assessing
the heart condition. Given the necessity for extensive datasets in ECG classification using …

The article presents and characterizes the ability of a neural network to distinguish between
different Wi-Fi activities based on their distinct spectral features. To achieve this objective …

Electrocardiogram (ECG) signals are crucial for monitoring cardiac activity and diagnosing
various cardiovascular conditions. However, these signals are often contaminated by …

Автоматическая классификация сигналов электрокардиограмм позволит оказать
своевременную медицинскую помощь пациентам при оказании первой медицинской …

Özet Coronavirüs hastalığı 2019 (COVID-19), Ocak 2020'de Çin'in Hubei eyaleti Wuhan'da
pnömoni salgını şeklinde başlayıp hızlı şekilde küresel sağlık sorunu haline gelen bir …

It is well known that sound emissions of drilling and milling machines can be used to predict
process and work piece quality. Deep Learning models have successfully been applied for …