Physiological Signal

Physiological signal analysis focuses on extracting meaningful information from bodily signals like heart rate, skin conductance, and brainwaves to understand various physiological and psychological states. Current research emphasizes developing robust and efficient machine learning models, including deep learning architectures such as transformers, convolutional neural networks, and spiking neural networks, often incorporating multimodal data fusion techniques to improve accuracy and generalizability across diverse contexts and individuals. This field is crucial for advancing healthcare applications, such as stress detection, emotion recognition, and disease diagnosis, as well as for improving human-computer interaction and understanding human behavior in various settings.