Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding Academic Background In complex auditory environments, humans can selectively focus on a specific sound source while ignoring other interfering sounds—a phenomenon known as the “cocktail party effect.” Selective Auditory Attention Decoding (...
Academic Background Parkinson’s Disease (PD) is the second most common chronic neurodegenerative disease, primarily affecting individuals aged 65 and above. With the global population aging, the prevalence of Parkinson’s disease is projected to increase from 7 million in 2015 to 13 million by 2040. Currently, the diagnosis of Parkinson’s disease ma...
Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...
Machine Learning Study on the Relationship Between Heart Rate and Body Temperature in Pediatric Intensive Care Units Academic Background In the pediatric intensive care unit (PICU), heart rate (HR) and body temperature (BT) are crucial clinical indicators that reflect a patient’s physiological status. Although the relationship between HR and BT has...
Research on Real-Time 3D Reconstruction and Navigation in Neuroendoscopy Based on Self-Supervised Learning Academic Background Neuroendoscopic surgery, as a minimally invasive surgical technique, is widely used in the treatment of deep brain lesions, such as endoscopic third ventriculostomy (ETV), choroid plexus cauterization, and cyst fenestration...
Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...
Research on Empathetic Response Generation in AI Dialogue Systems Academic Background With the rapid development of artificial intelligence technology, open-domain dialogue systems have gradually become a research hotspot. These systems aim to engage in natural and fluent conversations with users, providing reasonable responses. However, despite si...
Application of Text-Guided Reconstruction Network in Multimodal Sentiment Analysis Academic Background Multimodal Sentiment Analysis (MSA) is a research field that aims to integrate sentiment expressions from text, visual, and acoustic signals. With the abundance of user-generated online content, MSA demonstrates significant potential for improving...
Research on Depression Prediction Method Based on Conformal Prediction Background Introduction Depression is a common mental disorder characterized by persistent sadness, debilitation, and loss of interest in activities. It not only increases the risk of suicide but also imposes a significant psychological burden on patients and their families. Cur...
The Impact of Robot Monitoring Behavior on Distraction and Technology Acceptance in Older Adults Academic Background With the intensification of societal aging, the demand for elderly care is increasing. Especially during the COVID-19 pandemic, psychological and physiological health issues faced by older adults due to social isolation have become m...