Cross-Subject Brain-Computer Interface: Real-time Attention Decoding Based on Domain-Adversarial Training with Convolutional Neural Networks Academic Background Attention decoding plays a crucial role in our daily lives and its implementation based on electroencephalogram (EEG) has garnered extensive attention. However, due to significant inter-ind...
Background and Research Motivation Parkinson’s Disease (PD) is a neurodegenerative disorder primarily affecting patients’ motor abilities, leading to tremors, bradykinesia, limb rigidity, and problems with gait and balance. These motor deficits significantly impact patients’ ability to live independently and their quality of life. Statistics predic...
Prediction of Ventricular Fibrillation in Myocardial Infarction Model in Pigs Based on T-peak-to-T-end Interval Variation Using Time Warping Technique Background Introduction Source of the Paper Sudden Cardiac Death (SCD) is a leading cause of mortality worldwide, with one of its primary pathogenic mechanisms being Ventricular Fibrillation (VF), es...
Academic Report: Research on a Biomimetic Visual Detection Model Based on Fractional Spiking Neuron Circuits In the fields of intelligent autonomous driving and unmanned aerial vehicles, quickly and effectively predicting collisions and triggering avoidance behaviors have significant application value. The Lobula Giant Movement Detectors (LGMDs) in...
A Method for Quantifying Cervical Elasticity During Pregnancy Based on Transvaginal Ultrasound and Pressure Measurement Background and Motivation Preterm birth (delivery before 37 weeks of gestation) is a major cause of neonatal morbidity and mortality. Due to the high risks associated with preterm birth, many pregnant women with preterm symptoms n...
TGFuse: A Transformer and Generative Adversarial Network-Based Method for Infrared and Visible Image Fusion Background Introduction With the development of imaging devices and analysis methods, multimodal visual data is rapidly emerging, with many practical applications. In these applications, image fusion plays a significant role in helping the hu...
CLASH: A Gait Recognition Framework Based on Complementary Learning and Neural Architecture Search Research Background Gait recognition is a biometric technology that identifies individuals based on their walking patterns. This technology has widespread applications in security screening, video retrieval, and identity recognition due to its ability...
Information-aware Transformer Unfolding Network for Hyperspectral and Multispectral Image Fusion Background Introduction Hyperspectral images (HSIs) play a crucial role in remote sensing applications such as material identification, image classification, target detection, and environmental monitoring, due to their spectral information across multip...
Dendritic-cell-targeting Virus-like Particles as Potent mRNA Vaccine Carriers Introduction In vaccine development, especially mRNA vaccines, significant achievements have been made in recent years. The mRNA vaccines developed by Moderna and Pfizer/BioNTech against COVID-19 have set a successful precedent, greatly advancing the development of mRNA v...
Bilingual Speech Neuroprosthesis Driven by Cortical Speech Representations Background In the development of neuroprostheses, research on decoding language from brain activity has primarily focused on decoding a single language. Thus, the extent to which bilingual speech production relies on unique or shared cortical activity between different langu...