Robust Heart Sound Analysis With MFCC and Light Weight Convolutional Neural Network [0.03%]
基于MFCC和轻量级卷积神经网络的心音分析方法
Aliya Hasan,Mohammad Karim
Aliya Hasan
Objective: Heart sound analysis is essential for cardiovascular disorder classification. Traditional auscultation and rule-based methods require manual feature engineering and clinical expertise. This work proposes a CNN-based model for aut...
Enhancing Super-Resolution Network Efficacy in CT Imaging: Cost-Effective Simulation of Training Data [0.03%]
提升CT成像中超分辨率网络效能：训练数据的低成本仿真
Zeyu Tang,Xiaodan Xing,Gang Wang et al.
Zeyu Tang et al.
Deep learning-based Generative Models have the potential to convert low-resolution CT images into high-resolution counterparts without long acquisition times and increased radiation exposure in thin-slice CT imaging. However, procuring appr...
Development of an Improved Stacked U-Net Model for Cuffless Blood Pressure Estimation Based on PPG Signals [0.03%]
一种基于PPG信号的无袖带血压估计的改进式Stacked U-Net模型研究
Jenn-Kaie Lain,Chung-An Wang,Jun-Hao Xu et al.
Jenn-Kaie Lain et al.
Goal: This study presents an enhanced stacked U-Net deep learning model for cuffless blood pressure estimation using only photoplethysmogram signals, aiming to improve the accuracy of non-invasive measurements. Methods: To address the chall...
Customizable Task-Agnostic Exoskeleton Control for Targeted Neuromuscular Assistance: Case Series [0.03%]
可定制的任务无关外骨骼控制：针对神经肌肉辅助的病例系列研究
Nikhil V Divekar,Alicia Baxter,Robert D Gregg
Nikhil V Divekar
Goal: This work customizes and validates a task-agnostic bilateral knee exoskeleton controller for targeted assistance of primary neuromuscular deficits in highly impaired individuals. Methods: We leveraged the biomechanics-based structure ...
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...