Design, Fabrication and Test of a Lightweight 3.0 T Cryogen-Free MRI System

Design and Testing of a Lightweight 3.0 T Cryogen-Free MRI System Academic Background Magnetic Resonance Imaging (MRI), as a non-invasive, radiation-free imaging technology, has been widely used in medical diagnostics and scientific research. Especially in the fields of small animal studies and material analysis, high-field MRI systems can provide ...

Quantitative Ultrasonic Backscatter Evaluation of Elastic and Mechanical Properties in a Rabbit Tendinopathy Healing Model

Application of Ultrasound Backscatter Technique in Quantitative Tendon Characterization Academic Background Tendinopathy is a common musculoskeletal disease characterized by alterations in the microstructure, composition, and cellular organization of tendons, leading to pain and decreased function. Tendinopathy is typically initiated by overuse and...

Analysis of Pelvis and Lower Limb Coordination in Stroke Patients Using Smartphone-Based Motion Capture

Analysis of Pelvis and Lower Limb Coordination in Stroke Patients Using Smartphone-Based Motion Capture Technology Academic Background Stroke is one of the diseases with the highest incidence, disability, and mortality rates worldwide, with up to 15 million new cases each year. Among them, 20%-30% of stroke patients develop hemiplegic gait, which i...

Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging

Passive Beamforming Metasurfaces for Microwave-Induced Thermoacoustic Imaging Academic Background Microwave-induced thermoacoustic imaging (MTAI) is an emerging medical imaging technology that combines the advantages of microwave and ultrasound imaging. It generates ultrasonic waves (i.e., thermoacoustic signals) by irradiating biological tissues w...

Two-source Validation of Online Surface EMG Decomposition Using Progressive FastICA Peel-off

Two-Source Validation Study of Online Surface Electromyogram Decomposition Academic Background Surface electromyogram (SEMG) signals are crucial representations of muscle activity and are widely used in fields such as sports rehabilitation, robotic control, and human-machine interaction. However, SEMG signals are challenging to decompose due to the...

Imitation Learning for Path Planning in Cardiac Percutaneous Interventions

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...

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

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 “...

Design and Evaluation of a Sensor-Instrumented Clutch Mechanism for Quasi-Passive Back Exosuits

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 ...

Automation and Control of Embryo Trophectoderm Cell Biopsy at the Blastocyst Stage

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...

Accelerated Simulation of Multi-Electrode Arrays Using Sparse and Low-Rank Matrix Techniques

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...