Automatic Detection of Gait Perturbations With Everyday Wearable Technology [0.03%]
基于日常可穿戴技术的步态扰动自动检测方法研究
L Feld,S Hellmers,L Schell-Majoor et al.
L Feld et al.
Objective: Older adults face a heightened fall risk, which can severely impact their health. Individual responses to unexpected gait perturbations (e.g., slips) are potential predictors of this risk. This study examines automatic detection ...
Discriminating Between Marijuana and Alcohol Gait Impairments Using Tile CNN With TICA Pooling [0.03%]
基于Tile-CNN与TICA池化区分大麻和酒精对步态的影响
Ruojun Li,Samuel Chibuoyim Uche,Emmanuel Agu et al.
Ruojun Li et al.
Goal: To investigate whether machine learning analyses of smartphone sensor data can discriminate whether a subject consumed alcohol or marijuana from their gait. Methods: Using first-of-a-kind impaired gait datasets, we propose MariaGait, ...
AI-Based Detection of Coronary Artery Occlusion Using Acoustic Biomarkers Before and After Stent Placement [0.03%]
基于人工智能的声学生物标志物检测冠状动脉支架植入前后的血管狭窄技术
David Anderson Lloyd,Andrei Dragomir,Bulent Ozpolat et al.
David Anderson Lloyd et al.
Goal: Cardiovascular disease is the leading cause of death in the USA. Coronary Artery Disease (CAD) in particular is responsible for over 40% of cardiovascular disease deaths. Early detection and treatment are critical in the reduction of ...
A User-Centered Service Model for Accelerating COVID-19 Diagnostic Innovation: The RADx-rad Dx Core Approach [0.03%]
以用户为中心的加速新冠肺炎诊断创新的服务模式：RADx-rad Dx Core方法
Melissa Ledgerwood-Lee,Alexandra Hubenko,Partha Ray et al.
Melissa Ledgerwood-Lee et al.
Human-Computer Vision Collaborative Measurement of Surgical Exposure and Length in Endonasal Endoscopic Skull Base Surgery [0.03%]
内镜经鼻颅底手术中的人机视觉协同暴露及长度测量方法研究
Chia-En Wong,Yu-Chen Kuo,Da-Wei Huang et al.
Chia-En Wong et al.
Objective: This study aimed to develop and validate a computer vision (CV)-based system to quantitatively analyze surgical exposure in endonasal endoscopic approach (EEA). Results: The number of pixels of the length or area of interest in t...
Homare Yamada,Risa Kawai,Risako Niwa et al.
Homare Yamada et al.
Goal: For personalized clinical applications, flexible conductors require both high electrical conductivity and resistance to stretching and bending. Here, we developed a two-dimensional array sinusoidal wave (TDAS) conductor, characterized...
NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays [0.03%]
基于胸部X光片的新生儿呼吸窘迫综合征深度学习诊断框架NDL-net
Malik Muhammad Arslan,Xiaodong Yang,Nan Zhao et al.
Malik Muhammad Arslan et al.
Objective: Neonatal Respiratory Distress Syndrome (NRDS) poses a significant threat to newborn health, necessitating timely and accurate diagnosis. This study introduces NDL-Net, an innovative hybrid deep learning framework designed to diag...
Advances in Electroencephalography for Post-Traumatic Stress Disorder Identification: A Scoping Review [0.03%]
PTSD脑电识别研究综述
Jose A Salazar-Castro,Diego H Peluffo-Ordonez,Diego M Lopez
Jose A Salazar-Castro
Background: Post-traumatic stress disorder (PTSD) is a psychophysiological condition caused by traumatic experiences. Its diagnosis typically relies on subjective tools like clinical interviews and self-reports. Objectives: This scoping rev...
Motion Compensation in Pulmonary Fluorescence Lifetime Imaging: An Image Processing Pipeline for Artefact Reduction and Clinical Precision [0.03%]
用于肺部荧光寿命成像的运动补偿：一种减少伪影和提高临床精度的图像处理流程
Tarek Haloubi,Spencer Angus Thomas,Catherine Hines et al.
Tarek Haloubi et al.
Goal: This study introduces Temporal Reliability and Accuracy via Correlation Enhanced Registration (TRACER), a novel image processing pipeline that addresses motion artefacts in real-time Fluorescence Lifetime Imaging (FLIm) data for in-vi...
MVBNSleepNet: A Multi-View Brain Network-Based Convolutional Neural Network for Neonatal Sleep Staging [0.03%]
基于多视图脑网络的新生儿睡眠分期卷积神经网络MVBNSleepNet
Ligang Zhou,Minghui Liu,Xia Hu et al.
Ligang Zhou et al.
Goal: To develop a high-performance and robust solution for neonatal sleep staging that incorporates spatial topological information and functional connectivity of the brain, which are often overlooked in existing approaches. Methods: We pr...