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

Information Science, Artificial Intelligence, Medicine, Neurology,
Parkinson's disease   Freezing of gait   Zero-inflated data distribution   Double-hurdle model   Random forest algorithm   Mixed-task learning   mrmr  

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

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Brain-Computer Interface   Attention Decoding   Domain-Adversarial Training   Convolutional Neural Network   EEG Signals   Online Experiments   Intersubject Variability  

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

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Biophysics,
mobility deficits   Parkinson's disease   wearable sensors   machine learning   motion tracking  

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

Medicine, Basic Medical Sciences, Cardiovascular System, Life Sciences, Biophysics,
time warping   T-wave morphology   ventricular fibrillation   ischemia   T-peak-to-T-end interval   repolarization  

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

Information Science, Artificial Intelligence, Medicine, Neurology, Ophthalmology, Life Sciences, Bioengineering,
biomimetic vision   LGMD   spiking neurons   event camera   collision detection   motion perception   multi-scale spike frequency  

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

Medicine, Obstetrics and Gynecology, Medical Imaging, Life Sciences, Bioengineering,
transvaginal ultrasound   strain measurement   stress sensor   cervical elasticity   pregnancy cervical softening  

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...