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

Information Science, Automation, Medicine, Obstetrics and Gynecology, Life Sciences, Bioengineering,
blastocyst stage   trophectoderm cell biopsy   automation control   computer vision   in vitro fertilization  

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

Engineering, Electrical Engineering, Medicine, Ophthalmology, Life Sciences, Bioengineering,
multi-electrode arrays   sparse matrix   low-rank compensation   neural network simulation   retinal prosthesis  

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...

Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil

Optimal Sensor Selection for Motion-Corrected Supine Breast MRI with a Wearable Coil

Medicine, Medical Imaging, Life Sciences, Bioengineering,
supine breast MRI   motion correction   wearable coil   respiratory belt   accelerometers  

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

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Brain-Computer Interface   Selective Auditory Attention Decoding   Unsupervised Accuracy Estimation   Stimulus Reconstruction   Neurofeedback  

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

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Parkinson’s disease   feature assessment   machine learning   wearable devices   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...

A Quantitative Comparison of Electrode Positions for Respiratory Surface EMG

Medicine, Respiratory System, Neurology, Life Sciences, Bioengineering,
respiratory surface EMG   electrode positioning   quantitative comparison   clinical research   standardization  

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...