A High Signal-to-Noise Ratio Spatial Encoding Technique for Magnetic Particle Imaging

Space-Specific Mixed Excitation Technique for High Signal-to-Noise Ratio Spatial Encoding in Magnetic Particle Imaging Background Introduction Magnetic Particle Imaging (MPI) is an emerging, radiation-free tracer imaging technology that visualizes the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIOs) to achieve high-sensiti...

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Mechanosensitive Ion Channels Piezo1 and Piezo2 in Vivo Mediate Motor Response During Transcranial Focused Ultrasound Stimulation of Rodent Cerebral Motor Cortex

Piezo1 and Piezo2 Mechanosensitive Ion Channels Regulate the Response of Rodents to Transcranial Focused Ultrasound Stimulation of the Motor Cortex Academic Background Transcranial Focused Ultrasound (TFUS) neuromodulation is a non-invasive, deep brain stimulation technique that shows great potential in the study of neural circuits and the treatmen...

Estimation of Photon Path Length and Penetration Depth in Articular Cartilage Zonal Architecture Over the Therapeutic Window

Academic News Report: Study on the Optical Transmission Characteristics of Cartilage Introduction Cartilage is a complex biological tissue composed of cells and a substantial extracellular matrix. Its main components include collagen fibers, proteoglycans, and water, which form layered structural partitions at the microscopic level. The propagation...

Extracorporeal Closed-Loop Respiratory Regulation for Patients with Respiratory Difficulty Using a Soft Bionic Robot

Extracorporeal Closed-Loop Respiratory Regulation for Patients with Respiratory Difficulty Using a Soft Bionic Robot

Comprehensive Academic Report on a Scientific Paper In modern medicine, respiratory regulation is crucial for patients with respiratory dysfunction. However, currently used clinical positive pressure ventilators have issues such as long-term dependence and injury. While external auxiliary devices like the “iron lung” offer non-invasive alternatives...

A Double-Hurdle Quantification Model for Freezing of Gait of Parkinson’s Patients

Research on Quantitative Model for Freezing of Gait in Parkinson’s Patients Background Introduction Parkinson’s Disease (PD) is a common neurodegenerative disease, accompanied by complex motor disorders. In the later stages of Parkinson’s disease, the phenomenon of “Freezing of Gait” (FOG) becomes particularly prominent. FOG refers to a transient p...

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network for Online Attention Decoding

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...

Quantification and Diagnosis of Mobility Deficits

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...

T-Wave Peak-to-End Changes Quantified by Time-Warping Predicts Ventricular Fibrillation in a Porcine Myocardial Infarction Model

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...

A Biomimetic Visual Detection Model: Event-Driven LGMDs Implemented with Fractional Spiking Neuron Circuits

A Biomimetic Visual Detection Model: Event-Driven LGMDs Implemented with Fractional Spiking Neuron Circuits

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 Cervical Elastography System Based on Transvaginal Ultrasound Imaging

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...