Application of Imitation Learning in Path Planning for Percutaneous Cardiac Interventions Academic Background Cardiac valve diseases, particularly mitral regurgitation (MR), are the third most common type of valvular heart disease globally and have a higher incidence in the elderly population. MR is characterized by the incomplete closure of the mi...

Sense of Presence in Virtual Reality: Exploration and Validation of Neurophysiological Markers Background Introduction In recent years, Virtual Reality (VR) technology has been widely applied in fields such as medicine, training, and rehabilitation. The core of VR lies in the user’s “sense of presence,” which refers to the immersive experience of “...

Academic Background In modern work environments, especially in industries involving repetitive lifting and bending tasks, low back injuries are a common and costly occupational health issue. Statistics show that low back injuries account for 35% of all occupational musculoskeletal injuries in the United States. Although ergonomic controls (such as ...

Application of Automation Technology in Embryo Trophectoderm Cell Biopsy Academic Background Embryo biopsy is a crucial step in assisted reproductive technology (In Vitro Fertilization, IVF), especially in Preimplantation Genetic Testing (PGT). Through embryo biopsy, doctors can extract a small number of cells from embryos for genetic analysis to a...

Accelerating Multi-Electrode Array Simulation with Sparse and Low-Rank Matrix Techniques Academic Background Multi-electrode arrays (MEAs) play a crucial role in the field of neural stimulation, particularly in neural prosthetics such as retinal prostheses. These devices restore vision or treat neurodegenerative diseases by electrically stimulating...

Study on Motion Correction for Supine Breast MRI Based on Wearable Coils Academic Background Magnetic Resonance Imaging (MRI) is a crucial tool in the diagnosis and monitoring of breast cancer. Currently, standard breast MRI is typically performed in the prone position, which helps to minimize motion artifacts caused by respiratory movement. Howeve...

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...

A Quantitative Comparison Study of Electrode Positions for Respiratory Surface Electromyography Academic Background Respiratory surface electromyography (SEMG) is a non-invasive technique used to record the electrical activity of respiratory muscles. It is widely applied in analyzing respiratory effort, patient-ventilator asynchrony, and respirator...

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...