IEEE

Electrocardiogram Signal Classification using a Lightweight CNN–TCN with Transfer Learning

Abstract: Nowadays, Electrocardiogram (ECG) signal classification is used to automatically identify normal and abnormal heart rhythms by analyzing the electrical activity patterns of the heart.

Neurons receive precisely tailored teaching signals as we learn, study suggests

When we learn a new skill, the brain has to decide—cell by cell—what to change. New research from MIT suggests it can do that with surprising precision, sending targeted feedback to individual neurons ...
IEEE

Application of Deep Learning in ECG Signal Classification: Comparison of CNN, LSTM, and Hybrid Approaches

Abstract: In this paper, the application of deep learning for ECG signal classification is discussed. Three different approaches, namely Convolutional Neural Network (CNN), Long Short-Term Memory ...
GlobalSpec Insights

Solving multimodal medical device design challenges

The architecture of a multimodal system depends on the coordination of diverse hardware and software components into a single ...