Subject-Independent Deep Learning Framework for Motor Imagery Electroencephalogram Decoding in Neurorehabilitation [0.03%]
一种用于神经康复的运动想象脑电解码的主体无关深度学习框架
Xicheng Lou,Xinwei Li,Hongying Meng et al.
Xicheng Lou et al.
Motor imagery (MI) has emerged as a pivotal paradigm in non-invasive brain-computer interfaces (BCIs) for neurorehabilitation, enabling motor function restoration through mental rehearsal of movements. However, traditional MI electroencepha...
Attention-based Multimodal Spatiotemporal Enhanced Interaction Network For Major Depressive Disorder Detection [0.03%]
基于注意力的多模态时空交互增强网络在抑郁症检测中的应用研究
Changxu Dong,Xinwei Liu,Shuoqiu Gan et al.
Changxu Dong et al.
Although deep learning models have shown promising results in detecting major depressive disorder (MDD), two main limitations remain: insufficient exploitation of interactive information across multimodal brain networks and a lack of adapti...
BECM-Net: A Multi-granularity Collaborative Framework for Semi-Supervised Fetal Ultrasound Segmentation [0.03%]
基于多粒度协作框架的半监督胎儿超声图像分割方法BECM-Net
Wei Hu,Cong Tan,Wendong Wang et al.
Wei Hu et al.
Accurate segmentation of fetal ultrasound (US) images is essential for measuring the Angle of Progression (AoP) and assessing fetal head descent during labor. However, conventional semi-supervised learning (SSL) for ultrasound segmentation ...
Quantifying The Impact of Textile Thickness and Contact Pressure on Watch-type Bone-Conduction Phonocardiogram: A Validation Study [0.03%]
一种用于表带式骨传导心音图监测的纺织材料厚度和接触压力影响量化研究
Yumin Li,Chenxi Yang,Biao Wu et al.
Yumin Li et al.
Phonocardiogram (PCG) has increasingly been applied to out-of-hospital monitoring and home health management. Among these, Bone-Conduction PCG (BCPCG) has emerged as a promising solution for long-term wearable cardiac sound monitoring due t...
DiffSpkSync: A Muscle Synergy-Guided Spiking Diffusion Model for EMG Signal Generation to Improve Gesture Recognition Performance [0.03%]
一种用于改善手势识别性能的肌肉协同指导的EMG信号尖峰扩散模型生成方法（DiffSpkSync）
Kejia Su,Bo Wan,Jiayang Huang et al.
Kejia Su et al.
High-density surface electromyography (HD-sEMG) based hand gesture recognition (HGR) has shown great promise for intuitive human-machine interaction. However, the performance of HGR model is often hindered by a scarcity of available trainin...
Evaluating Large Language Models in Crisis Detection: A Real-World Benchmark from Psychological Support Hotlines [0.03%]
基于心理支持热线的真实基准评估危机检测中的大型语言模型
Guifeng Deng,Shuying Rao,Tianyu Lin et al.
Guifeng Deng et al.
Psychological support hotlines serve as critical lifelines for crisis intervention but encounter significant challenges due to rising demand and limited resources. Large language models (LLMs) offer potential support in crisis assessments, ...
EEG-VLM: A Hierarchical Vision-Language Model With Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage Prediction [0.03%]
EEG-VLM：一种多级特征对齐和视觉增强的语言引导推理的分层视觉语言模型，用于基于EEG图像的睡眠分期预测
Xihe Qiu,Gengchen Ma,Haoyu Wang et al.
Xihe Qiu et al.
Sleep stage classification based on electroencephalography (EEG) is fundamental for assessing sleep quality and diagnosing sleep-related disorders. However, most traditional machine learning methods rely heavily on prior knowledge and handc...
Noninvasive Blood Glucose Estimation via ECG: A Multi-Expert SC-ResNet Model [0.03%]
基于SC-RESNET的多专家非侵入式心电血糖估计模型
Jialin Zhang,Junsong Wang,Weitong Feng et al.
Jialin Zhang et al.
Diabetes mellitus, a chronic metabolic disorder, has seen a steep rise in global incidence, posing a significant health challenge. Traditional blood glucose estimation methods are invasive and limited, failing to reflect blood glucose fluct...
DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals [0.03%]
基于呼吸气流和呼吸努力信号的阻塞性睡眠呼吸暂停事件精确检测方法
Yanshuang Liu,Yamei Li,Mingming Zhao et al.
Yanshuang Liu et al.
Objective: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for assessing sleep quality and treating sleep disorders. However, the detection of hypopnea events has not been given due emph...
FD-MSGL: Drug Repositioning via Frequency-Domain Multi-Source Synergistic Graph Learning [0.03%]
基于频域多源协同图学习的药物再定位研究
Xiaobo Zhu,Xun Deng,Zimai Zhang et al.
Xiaobo Zhu et al.
Drug repositioning accelerates therapeutic development by revealing novel indications for approved compounds, yet existing methods typically rely on single information sources and fail to integrate multi-scale biological mechanisms spanning...