[Study on dental image segmentation and automatic root canal measurement based on multi-stage deep learning using cone beam computed tomography] [0.03%]
基于多阶段深度学习的CBCT牙颌图像分割及根管自动测量方法研究
Ziqing Chen,Qi Liu,Jialei Wang et al.
Ziqing Chen et al.
This study aims to develop a fully automated method for tooth segmentation and root canal measurement based on cone beam computed tomography (CBCT) images, providing objective, efficient, and accurate measurement results to guide and assist...
[Evaluation method and system for aging effects of autonomic nervous system based on cross-wavelet transform cardiopulmonary coupling] [0.03%]
基于交叉小波变换的心肺耦合的自主神经老化评价方法和系统
Juntong Lyu,Yining Wang,Wenbin Shi et al.
Juntong Lyu et al.
Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary i...
[Optimization and validation of a mathematical model for precise assessment of personalized exercise load based on wearable devices] [0.03%]
[基于可穿戴设备的个性化运动负荷精准评估数学模型的优化与验证]
Wenxing Wang,Yuanhui Zhao,Wenlang Yu et al.
Wenxing Wang et al.
Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevent...
[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...