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...
Developing a Vital Signal Detection Electrode for Fabric Substrate Using a High-Performance Conductive Carbon-Based Ink [0.03%]
基于高性能导电碳基墨水的织物衬底生命体征检测电极开发
K Chansaengsri,B Tunhoo,K Onlaor et al.
K Chansaengsri et al.
Merging electrophysiology signal monitoring technology with wearable devices offers interesting future health care options. This study presented carbon-based screen-printing inks produced by mixing a graphite composite with a polymer emulsi...
Mattia Di Florio,Yannick Bornat,Marta Care et al.
Mattia Di Florio et al.
Goal: This study addresses the inherent difficulties in the creation of neuroengineering devices for real-time neural signal processing, a task typically characterized by intricate and technically demanding processes. Beneath the substantia...
Source-Detector Geometry Analysis of Reflective PPG by Measurements and Simulations [0.03%]
基于测量和模拟的反射式PPG源检测器几何分析
M Reiser,T Mueller,A Breidenassel et al.
M Reiser et al.
Goal: We investigate the effect of source-detector geometry, including distance and angle, on the reflective photoplethysmography (PPG) signal. Methods: A porcine skin phantom was used for laboratory measurements and replicated by Monte Car...
Topological Data Analysis Reveals a Subgroup of Luminal B Breast Cancer [0.03%]
基于拓扑数据分析发现的乳腺癌Luminal B亚型
Zahra Rostami,David Fooshee,Gunnar Carlsson et al.
Zahra Rostami et al.
Objective: High-throughput biological data, with its vast complexity and higher dimensions, continues to require innovative analytic methodologies for meaningful exploration. Most methods for reducing data dimensions overlook the shape and ...
Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms [0.03%]
用于运动识别的印刷应变传感器：材料、制造方法和机器学习算法综述
Nathan Zavanelli,Kangkyu Kwon,Woon-Hong Yeo
Nathan Zavanelli
Recent studies in functional nanomaterials with advanced macro, micro, and nano-scale structures have yielded substantial improvements in human-interfaced strain sensors for motion and gesture recognition. Furthermore, fundamental advances ...
Saaid H Arshad,Ryan L Touzjian,Matthew C Jones et al.
Saaid H Arshad et al.
Goal: Non-compressible torso hemorrhage represents a category of lethal injuries in both civilian and military traumatically injured populations that with proper intervention, training, or technological advancements are survivable. Endovasc...