[Master manipulator of vascular intervention surgical robot based on haptic feedback] [0.03%]
基于力反馈的血管介入手术机器人系统主从操控器研究
Guowei Han,Zhijun Sun,Xiongfeng Tang
Guowei Han
The master manipulator is a crucial component in enabling interactive perception between the physician and the guidewire/catheter; however, the lack of real-time haptic feedback increases the difficulty of hand-eye coordination. This paper ...
[Early Alzheimer's disease recognition via multimodal hand movement quality assessment] [0.03%]
基于多模态手势运动质量评估的早期阿尔茨海默病识别方法研究
Guanci Yang,Chengcheng Zhu,Junlang Wu et al.
Guanci Yang et al.
Alzheimer's disease (AD) is a common elderly illness, and the hand movement abilities of patients differ from those of normal individuals. Focusing on the utilization of RGB, optical flow, and hand skeleton as tri-modal image information fo...
[Environmental modulation of musical emotion: frequency-specific analysis based on virtual reality and electroencephalography] [0.03%]
基于虚拟现实和脑电的环境刺激下音乐情绪变化及频率特异性分析
Yanbin Zhou,Min Huang,Leqi Jiang et al.
Yanbin Zhou et al.
Musical emotion perception, as a key pathway to decoding the essence of human emotions, requires the analysis of its regulatory mechanisms for the development of precise neural modulation strategies. Although electroencephalography (EEG) si...
[A novel mental fatigue detecting method based on single-channel electroencephalogram using hybrid convolutional neural network combined with Transformer] [0.03%]
[一种基于单通道脑电的新型精神疲劳检测方法（采用混合卷积神经网络与Transformer相结合的方法）]
Hongyu Zhu,Qingkai Zhen,Qi Chen et al.
Hongyu Zhu et al.
Mental fatigue, a detrimental psychophysiological state induced by high-intensity cognitive tasks, impairs athletes' attention, reaction, and decision-making, increasing the risk of errors and injuries. Traditional questionnaire-based asses...
[Electroencephalogram signals decomposition based on improved variational mode decomposition for depression recognition] [0.03%]
基于改进变分模式分解的抑郁识别脑电信号分解方法研究
Yuze Song,Bingtao Zhang
Yuze Song
To enhance the accuracy of depression (DP) recognition, this paper proposes a DP recognition method based on improved variational mode decomposition (VMD). Firstly, the adaptive particle swarm optimization (APSO) algorithm is adopted to imp...
[A group-level stimulus-aware self-supervised soft contrastive learning framework for electroencephalogram emotion recognition] [0.03%]
[一种基于脑电的情绪识别的群体刺激感知自监督软对比学习框架]
Jingxia Chen,Qian Wang,Xiaochi Li et al.
Jingxia Chen et al.
To reduce the label dependency of traditional electroencephalogram(EEG) emotion recognition methods and address the limitations of existing contrastive learning approaches in modeling cross-stimulus emotional similarity, this paper proposes...
[Microstate dynamics in motor imagery of stroke patients with transcranial alternating current stimulation modulation] [0.03%]
[tMS调制下卒中患者运动想象的微状态动力学]
Lei Song,Ying Zhang,Yujia Wei et al.
Lei Song et al.
Transcranial alternating current stimulation (tACS) holds significant potential for improving motor function in stroke patients, but its underlying mechanisms remain unclear. In this study, 20 Hz tACS was applied to 15 stroke patients, and ...
[Research on the effect of transcranial direct current stimulation regulation of different targets on working memory based on electroencephalography] [0.03%]
基于脑电的经颅直流刺激不同靶点对工作记忆影响的研究
Jiawei Feng,Yang Wu,Jiaxuan Dou et al.
Jiawei Feng et al.
Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technique that can modulate cortical neuronal excitability through scalp electrodes, thereby potentially enhancing cognitive function. However, to date, no spe...
[Fiber photometry-based analysis of transcranial magneto-acoustic electrical stimulation effects on synaptic plasticity in the hippocampal CA1 region of APP/PS1 mice] [0.03%]
基于纤维光度计的跨颅磁声电刺激对APP/PS1小鼠海马CA1区突触可塑性影响的研究
Jinrui Mi,Shuai Zhang,Xiaochao Lu et al.
Jinrui Mi et al.
Transcranial magneto-acoustic electrical stimulation (TMAES) is a non-invasive novel neuromodulation technique based on the magneto-acoustic coupling effect. In this study, we employed APP/PS1 transgenic mice as an experimental model, targe...
[A scientific definition of brain-computer interfaces (BCIs): Essential components, fundamental characteristics, capability boundaries, and scope delimitation] [0.03%]
[脑机接口（BCI）的科学定义：基本要素、本质特性、能力边界及范围限定]
Yunfa Fu,Tianjiao Cheng,Rongzhang Luo et al.
Yunfa Fu et al.
Brain-computer interfaces (BCIs) are communication and control systems centered on neural signals that incorporate both the user and the brain into a closed-loop interaction framework, and are widely regarded as a transformative paradigm in...