Pulse Signal

Pulse signals, rhythmic variations in physiological or physical phenomena, are central to various applications, from medical diagnostics to industrial robotics. Current research focuses on improving the accuracy and robustness of pulse signal analysis through advanced signal processing techniques and machine learning models, including deep neural networks (e.g., transformers, convolutional neural networks, recurrent neural networks) and gradient boosting algorithms. These advancements aim to address challenges like noise reduction, missing data imputation, and accurate feature extraction for improved diagnostic capabilities and enhanced performance in diverse applications, such as cardiovascular monitoring and medical imaging.