Shibaura Institute of Technology

Precision-guided gramian angular field for ECG-based cardiac arrhythmia detection utilizing binary-weight simplicial convolutional neural networks

Cardiac arrhythmia, characterized by abnormal heart rhythms, can be effectively identified using electrocardiogram (ECG) signals. However, the complex temporal and frequency patterns in ECG recordings make accurate diagnosis challenging. Recent advances in deep learning have sign...

Swing characteristics affecting carry distance in golf using explainable AI

Abstract The application of explainable AI is effective for interpreting nonlinear and complex models, such as those governing golf-ball trajectory. This study aimed to identify the swing characteristics that influence carry distance using explainable AI. A machine learning model...