A5013871767- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Heart Rate Variability and Autonomic Control
- Time Series Analysis and Forecasting
- Neuroscience and Neuropharmacology Research
- Epilepsy research and treatment
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Advanced Computing and Algorithms
- Sleep and Wakefulness Research
- Brain Tumor Detection and Classification
- Optical Imaging and Spectroscopy Techniques
- Neural dynamics and brain function
- Medical Imaging and Analysis
- Mental Health Research Topics
- Neonatal and fetal brain pathology
- Cognitive and developmental aspects of mathematical skills
- Visual Attention and Saliency Detection
- Gaze Tracking and Assistive Technology
- ECG Monitoring and Analysis
- Cardiovascular Health and Risk Factors
Xi'an Institute of Optics and Precision Mechanics
2019-2024
University of Chinese Academy of Sciences
2021-2024
Chinese Academy of Sciences
2019-2023
Spectral Imaging Laboratory (United States)
2022
Abstract Aims To compare different patterns of memory impairment in patients with two subtypes mesial temporal lobe epilepsy (MTLE) and healthy controls. Methods Thirty‐five controls 41 MTLE were recruited, which 25 diagnosed as hippocampal sclerosis (HS‐MTLE), the rest 16 lesion‐negative (MRI‐neg MTLE). Participants completed Wechsler assessment a short‐term game on an automated computer‐based platform eye tracker. Results Both MRI‐neg HS‐MTLE groups took longer time to complete than ( p...
Objective: To explore quantitative measurements of the visual attention and neuroelectrophysiological relevance memory deficits in temporal lobe epilepsy (TLE) by eye tracking electroencephalography (EEG). Methods: Thirty-four TLE patients twenty-eight healthy controls were invited to complete neurobehavioral assessments, cognitive oculomotor tasks, 24-h video EEG (VEEG) recordings using an automated computer-based assessment platform with tracker. Visit counts, visit time, time first...
The accurate diagnosis of Alzheimer's disease (AD) has an important impact on early treatment. Positron emission tomography (PET) and magnetic resonance imaging (MRI) are popular methods used to facilitate the identification evaluation AD. In this paper, we proposed a VGG-style 3D convolutional neural network (3D CNN) model, which is named PET-MRI Net PMNet), it uses DiffGrad optimizer speed up convergence model Focalloss function improve classification performance unbalanced data...
Traditional methods for monitoring blood pressure (BP) often fall short due to limited and inconvenience. This study addresses the limitations of traditional BP by introducing a cuff-less approach utilizing commercially available smartwatches. The proposed framework employs wrist photoplethysmogram (PPG) signals derive robust set morphological features characterizing variations in systolic diastolic pressure. model was trained on PPG sensor data from 438 subjects validated an independent 347...
Arterial blood pressure (ABP) holds substantial promise for proactive cardiovascular health management. Notwithstanding its potential, the invasive nature of ABP measurements confines their utility primarily to clinical environments, limiting applicability continuous monitoring beyond medical facilities. The conversion photoplethysmography (PPG) signals into equivalents has garnered significant attention due potential in revolutionizing disease Recent strides PPG-to-ABP prediction encompass...
Arterial blood pressure (ABP) holds substantial promise for proactive cardiovascular health management. Notwithstanding its potential, the invasive nature of ABP measurements confines their utility primarily to clinical environments, limiting applicability continuous monitoring beyond medical facilities. The conversion photoplethysmography (PPG) signals into equivalents has garnered significant attention due potential in revolutionizing disease Recent strides PPG-to-ABP prediction encompass...
Hypertension is a leading risk factor for cardiovascular diseases. Traditional blood pressure monitoring methods are cumbersome and inadequate continuous tracking, prompting the development of PPG-based cuffless wearables. This study leverages deep learning models, including ResNet Transformer, to analyze wrist PPG data collected with smartwatch efficient hypertension screening, eliminating need handcrafted features. Using Home Blood Pressure Monitoring (HBPM) longitudinal dataset 448...
Most studies reported that patients with epilepsy could suffer from attention dysfunction and other social cognitive impairment but there were few on automatic detection for of based eye-tracking technology. The current study aimed to explore objective nontraumatic method assisting in the impairment. Thirty-seven twenty-nine healthy controls performed Attention Network Test (ANT) random forest algorithm combined principal component analysis was applied extract main features, then back...
Attention is the basis of high-level cognitive functions human brain. The attention network consists three networks: alerting, orienting, and executive network. Different type epilepsy affects different brain regions, which could influence function differently. We created a computer-based automatic evaluation platform with eye-tracking, was adapted from test (ANT). Through this platform, we compared pupil activation patterns patients (29 frontal lobe 37 temporal epilepsy) healthy controls (n...