Feature-DT-DF-EMG-UC software: Best patient selection on biomedical signals with multimodal time and frequency analysis

This paper presents advanced software for the comprehensive analysis of biomedical signals like EMG, ECG, and EEG. It enables the import, feature extraction, and correlation analysis of time-domain signals to characterize muscle, cardiac, and brain activities. The software also performs Principal Component Analysis (PCA) to identify key patterns and uses Fourier and Wavelet Transforms for frequency-domain insights. A unique feature is its ability to identify the "best patient" by evaluating signal characteristics and reference patterns, making it a powerful tool for healthcare diagnostics and research.