Time Synchronization Between Parietal–Frontocentral Connectivity with MRCP and Gait in Post-Stroke Bipedal Tasks

Time Synchronization of Motor-Related Cortical Potentials and Parieto-Frontocentral Connectivity in Bilateral Tasks of Stroke Patients Background In stroke rehabilitation research, functional connectivity (FC), motor-related cortical potentials (MRCP), and gait activities are common metrics related to rehabilitation outcomes. Although these have be...

Ultra-Narrow-Linewidth Hybrid-Integrated Self-Injection Locked Laser at 780 nm

Research Report on Hybrid Integrated Ultra-Narrow Linewidth Self-Injection Locking 780nm Laser Background In modern technology, narrow linewidth lasers play an essential role in various applications, including classical and quantum sensing, ion trap systems, positioning/navigation/timing systems, optical clocks, and microwave frequency synthesizers...

Low Loss Fiber-Coupled Volumetric Interconnects Fabricated via Direct Laser Writing

Background Introduction Photon integrated circuits (PICs) are significant for achieving high-speed data transmission. However, traditional photon integrated circuits, which only use a single plane or a limited number of stacked planes, are restricted in optical signal routing. Additionally, coupling losses need to be as low as possible for practica...

High-speed High-power Free-space Optical Communication via Directly Modulated Watt-class Photonic-crystal Surface-emitting Lasers

High-speed High-power Free-space Optical Communication via Directly Modulated Watt-class Photonic-crystal Surface-emitting Lasers

High-Speed High-Power Free-Space Optical Communication: Direct Modulation of Watt-Level Photonic Crystal Surface-Emitting Lasers Background Introduction As a vital light source for optical communication, semiconductor lasers are widely used due to their small size, low cost, long lifespan, and high efficiency. For example, vertical-cavity surface-e...

Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories

Hyperspectral In-Memory Computing and Applications of Optical Frequency Comb and Programmable Optical Memory Introduction In recent years, breakthroughs in machine learning have driven revolutionary developments in various industries, including healthcare, finance, retail, automotive, and manufacturing. These transformations have led to a surge in ...

On-Demand Orbital Angular Momentum Comb from a Digital Laser

Requirement for Orbital Angular Momentum Comb Modes in Digital Lasers Research Background and Significance With the rapid advancement of information technology, the demand for high-capacity data transmission has become increasingly stringent. Orbital angular momentum (OAM) of light, due to its inherently infinite dimensions, is considered a potenti...

First Clinical Investigation of Near-Infrared Window IIA/IIB Fluorescence Imaging for Precise Surgical Resection of Gliomas

First Clinical Investigation of Near-Infrared Window IIA/IIB Fluorescence Imaging for Precise Surgical Resection of Gliomas

“IEEE Transactions on Biomedical Engineering” August 2022, Vol. 69, No. 8, First Clinical Study: Application of Near-Infrared Window IIA/IIB Fluorescence Imaging in Precise Glioma Resection Surgery Cao Caiguang, Jin Zeping, Shi Xiaojing, Zhang Zhe, Xiao Anqi, Yang Junying, Ji Nan, Tian Jie (IEEE Member), Hu Zhenhua (IEEE Senior Member) Introduction...

A Wearable Fluorescence Imaging Device for Intraoperative Identification of Human Brain Tumors

Malignant Glioma (MG) Report Malignant Glioma (MG) is the most common type of primary malignant brain tumor. Surgical resection of MG remains the cornerstone of treatment, and the extent of resection is highly correlated with patient survival. However, it is difficult to distinguish tumor tissue from normal tissue during surgery, which greatly limi...

Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics from Surface EMG

Musculoskeletal models have been widely used in biomechanical analysis because they can estimate motion variables that are difficult to measure directly in living organisms, such as muscle forces and joint moments. Traditional physics-driven computational musculoskeletal models can explain the dynamic interactions between neural inputs to muscles, ...