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...

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding

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 (...

Multi-scale and Multi-level Feature Assessment Framework for Classification of Parkinson’s Disease State from Short-term Motor Tasks

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...

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

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...