[A signal sensing system for monitoring the movement of human respiratory muscle based on the thin-film varistor] [0.03%]
一种基于压敏电阻的监测人体呼吸肌运动的信号感知系统
Yueyang Yuan,Zhongping Zhang,Lixin Xie et al.
Yueyang Yuan et al.
In order to accurately capture the respiratory muscle movement and extract the synchronization signals corresponding to the breathing phases, a comprehensive signal sensing system for sensing the movement of the respiratory muscle was devel...
[Preparation and application of conductive fiber coated with liquid metal] [0.03%]
[液态金属涂覆导电纤维的制备及应用]
Chengfeng Liu,Jiabo Tang,Ming Li et al.
Chengfeng Liu et al.
Flexible conductive fibers have been widely applied in wearable flexible sensing. However, exposed wearable flexible sensors based on liquid metal (LM) are prone to abrasion and significant conductivity degradation. This study presented a h...
[Deep transcranial magnetic stimulation coil design and multi-objective slime mould algorithm] [0.03%]
基于多目标毛霉算法的深部经颅磁刺激线圈设计
Hui Xiong,Jibin Zhu,Jinzhen Liu
Hui Xiong
The therapeutic effects of transcranial magnetic stimulation (TMS) are closely related to the structure of the stimulation coil. Based on this, this study designed an A-word coil and proposed a multi-strategy fusion multi-objective slime mo...
[Effect of 40 Hz pulsed magnetic field on mitochondrial dynamics and heart rate variability in dementia mice] [0.03%]
40Hz脉冲磁场对痴呆小鼠线粒体动态及心率变异性的影响
Lifan Zhang,Duyan Geng,Guizhi Xu et al.
Lifan Zhang et al.
Alzheimer's disease (AD) is the most common degenerative disease of the nervous system. Studies have found that the 40 Hz pulsed magnetic field has the effect of improving cognitive ability in AD, but the mechanism of action is not clear. I...
[Prefrontal dysfunction and mismatch negativity in adolescent depression: A multimodal fNIRS-ERP study] [0.03%]
青少年抑郁患者前额叶功能异常及Mismatch Negativity事件相关电位的多模态近红外成像研究
Hongyi Sun,Lin Zhang,Jing Li et al.
Hongyi Sun et al.
Early identification of adolescent depression requires objective biomarkers. This study investigated the functional near-infrared spectroscopy (fNIRS) activation patterns and mismatch negativity (MMN) characteristics in adolescents with fir...
[A model based on the graph attention network for epileptic seizure anomaly detection] [0.03%]
[一种基于图注意力网络的癫痫发作异常检测方法]
Guohua Liang,Jina E,Hanyi Li et al.
Guohua Liang et al.
The existing epilepsy seizure detection algorithms have problems such as overfitting and poor generalization ability due to high reliance on manual labeling of electroencephalogram's data and data imbalance between seizure and interictal pe...
[Research on fatigue recognition based on graph convolutional neural network and electroencephalogram signals] [0.03%]
基于图卷积神经网络和脑电的疲劳识别研究
Song Li,Yunfa Fu,Yan Zhang et al.
Song Li et al.
Electroencephalogram (EEG) serves as an effective indicator of detecting fatigue driving. Utilizing the open accessible Shanghai Jiao Tong University Emotion Electroencephalography Dataset (SEED-VIG), driving states are divided into three c...
[Motor imagery classification based on dynamic multi-scale convolution and multi-head temporal attention] [0.03%]
基于动态多尺度卷积和多头时序注意力的运动想象分类方法
Nan Xiao,Ming&#x;ai Li
Nan Xiao
Convolutional neural networks (CNNs) are renowned for their excellent representation learning capabilities and have become a mainstream model for motor imagery based electroencephalogram (MI-EEG) signal classification. However, MI-EEG exhib...
[Multi-source adversarial adaptation with calibration for electroencephalogram-based classification of meditation and resting states] [0.03%]
基于电极脑电图的冥想与静息状态分类的多源对抗自适应方法
Mingyu Gou,Haolong Yin,Tianzhen Chen et al.
Mingyu Gou et al.
Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG...
[Research on hybrid brain-computer interface based on imperceptible visual and auditory stimulation responses] [0.03%]
一种基于视听无意识刺激的混合脑机接口研究
Zexin Pang,Yijun Wang,Qingpeng Dong et al.
Zexin Pang et al.
In recent years, hybrid brain-computer interfaces (BCIs) have gained significant attention due to their demonstrated advantages in increasing the number of targets and enhancing robustness of the systems. However, Existing studies usually c...