[Mass transfer of bilirubin and bovine serum albumin in hollow fiber membrane module of artificial liver] [0.03%]
血浆分离式人工肝装置中胆红素及牛血清白蛋白的传质研究
Ziheng Wang,Shaofeng Xu,Yifan Yu et al.
Ziheng Wang et al.
Understanding the mass transfer behaviors in hollow fiber membrane module of artificial liver is important for improving toxin removal efficiency. A three-dimensional numerical model was established to study the mass transfer of small molec...
[Fatigue feature extraction and classification algorithm of forehead single-channel electroencephalography signals] [0.03%]
[基于单通道额区脑电信号的疲劳特征提取与分类算法]
Huizhou Yang,Yunfei Liu,Lijuan Xia
Huizhou Yang
Aiming at the problem that the feature extraction ability of forehead single-channel electroencephalography (EEG) signals is insufficient, which leads to decreased fatigue detection accuracy, a fatigue feature extraction and classification ...
[An efficient and practical electrode optimization method for transcranial electrical stimulation] [0.03%]
一种高效实用的经颅电刺激刺激电极优化方法
Xu Xie,Minmin Wang,Shaomin Zhang
Xu Xie
Transcranial electrical stimulation (TES) is a non-invasive neuromodulation technique with great potential. Electrode optimization methods based on simulation models of individual TES field could provide personalized stimulation parameters ...
[Three-dimensional positioning and trajectory tracking of pigeons in large indoor spaces] [0.03%]
基于大型室内空间的鸽子三维定位与轨迹追踪实验研究
Xinyu Liu,Kaige Liu,Huanhuan Peng et al.
Xinyu Liu et al.
Animal localization and trajectory tracking are of great value for the study of brain spatial cognition and navigation neural mechanisms. However, traditional optical lens video positioning techniques are limited in their scope due to facto...
[Construction and analysis of brain metabolic network in temporal lobe epilepsy patients based on 18F-FDG PET] [0.03%]
基于~(18)F-FDG PET的颞叶癫痫患者脑代谢网络的构建及分析
Xuan Ji,Ruowei Qu,Zhaonan Wang et al.
Xuan Ji et al.
The establishment of brain metabolic network is based on 18fluoro-deoxyglucose positron emission computed tomography ( 18F-FDG PET) analysis, which reflect the brain functional network connectivity in normal physiological state or disease s...
[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks] [0.03%]
基于多分支和多尺度卷积网络的心房颤动检测模型
Siyu Zhao,Ming Liu,Mingqi Liu et al.
Siyu Zhao et al.
Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatment have garnered significant attention from physicians in recent years. Traditional methods of detecting AF heavily rely on doctor's diagnosi...
[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network] [0.03%]
[基于两阶段卷积神经网络有限训练的心电数据突发心脏骤停的早期分类与识别算法]
Xingzeng Cha,Yue Zhang,Yifei Zhang et al.
Xingzeng Cha et al.
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes...
[Visual object detection system based on augmented reality and steady-state visual evoked potential] [0.03%]
基于增强现实和稳态视觉诱发电位的视觉目标检测系统
Meng&#x;ao Guo,Banghua Yang,Yiting Geng et al.
Meng&#x;ao Guo et al.
This study investigates a brain-computer interface (BCI) system based on an augmented reality (AR) environment and steady-state visual evoked potentials (SSVEP). The system is designed to facilitate the selection of real-world objects throu...
[A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy] [0.03%]
基于功能性近红外光谱的深度迁移学习交叉被试脑机接口系统识别方法研究
Yao Zhang,Dongyuan Liu,Feng Gao
Yao Zhang
In the field of brain-computer interfaces (BCIs) based on functional near-infrared spectroscopy (fNIRS), traditional subject-specific decoding methods suffer from the limitations of long calibration time and low cross-subject generalizabili...
[The supernumerary robotic limbs of brain-computer interface based on asynchronous steady-state visual evoked potential] [0.03%]
基于非同步稳态视觉诱发脑机接口的多余机器人肢体研究
Ping Xie,Yandi Men,Jiale Zhen et al.
Ping Xie et al.
Brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP) have attracted much attention in the field of intelligent robotics. Traditional SSVEP-based BCI systems mostly use synchronized triggers without identifyin...