[Research and application implementation of the Internet of Things scheme for intensive care unit medical equipment] [0.03%]
物联网技术在重症监护医疗设备中的研究与实现方案探讨
Hong Liang,Jipeng Sun,Yong Fan et al.
Hong Liang et al.
The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (...
[Research on intelligent fetal heart monitoring model based on deep active learning] [0.03%]
基于深度主动学习的智能胎心监护模型研究
Bin Quan,Yajing Huang,Yanfang Li et al.
Bin Quan et al.
Cardiotocography (CTG) is a non-invasive and important tool for diagnosing fetal distress during pregnancy. To meet the needs of intelligent fetal heart monitoring based on deep learning, this paper proposes a TWD-MOAL deep active learning ...
[Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network] [0.03%]
基于自适应多特征融合网络的心律失常分类算法研究
Mengmeng Huang,Mingfeng Jiang,Yang Li et al.
Mengmeng Huang et al.
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythm...
[Prediction method of paroxysmal atrial fibrillation based on multimodal feature fusion] [0.03%]
[基于多模态特征融合的阵发性房颤预测方法]
Yongjian Li,Lei Liu,Meng Chen et al.
Yongjian Li et al.
The risk prediction of paroxysmal atrial fibrillation (PAF) is a challenge in the field of biomedical engineering. This study integrated the advantages of machine learning feature engineering and end-to-end modeling of deep learning to prop...
[Dynamic continuous emotion recognition method based on electroencephalography and eye movement signals] [0.03%]
基于脑电与眼动信号的动态连续情绪识别方法
Yangmeng Zou,Lilin Jie,Mingxun Wang et al.
Yangmeng Zou et al.
Existing emotion recognition research is typically limited to static laboratory settings and has not fully handle the changes in emotional states in dynamic scenarios. To address this problem, this paper proposes a method for dynamic contin...
[Audiovisual emotion recognition based on a multi-head cross attention mechanism] [0.03%]
基于多头交叉注意力机制的音视频情感识别
Ziqiong Wang,Dechun Zhao,Lu Qin et al.
Ziqiong Wang et al.
In audiovisual emotion recognition, representational learning is a research direction receiving considerable attention, and the key lies in constructing effective affective representations with both consistency and variability. However, the...
[Research on emotion recognition methods based on multi-modal physiological signal feature fusion] [0.03%]
基于多模态生理信号特征融合的情绪识别方法研究
Zhiwen Zhang,Naigong Yu,Yan Bian et al.
Zhiwen Zhang et al.
Emotion classification and recognition is a crucial area in emotional computing. Physiological signals, such as electroencephalogram (EEG), provide an accurate reflection of emotions and are difficult to disguise. However, emotion recogniti...
[Research on motor imagery recognition based on feature fusion and transfer adaptive boosting] [0.03%]
基于特征融合与迁移自适应提升的运动想象识别研究
Yuxin Zhang,Chenrui Zhang,Shihao Sun et al.
Yuxin Zhang et al.
This paper proposes a motor imagery recognition algorithm based on feature fusion and transfer adaptive boosting (TrAdaboost) to address the issue of low accuracy in motor imagery (MI) recognition across subjects, thereby increasing the rel...
[The joint analysis of heart health and mental health based on continual learning] [0.03%]
基于持续学习的心脏健康和心理健康联合分析
Hongxiang Gao,Zhipeng Cai,Jianqing Li et al.
Hongxiang Gao et al.
Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing method...
Wenbin Luo,Pei Wang,Yiwei Zhang et al.
Wenbin Luo et al.
Image fusion currently plays an important role in the diagnosis of prostate cancer (PCa). Selecting and developing a good image fusion algorithm is the core task of achieving image fusion, which determines whether the fusion image obtained ...