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基本信息Personal Information
讲师
主要任职 : 智能医学工程专业副主任
曾获荣誉 : 浙江师范大学数理医学院第一届青年教师教学大赛一等奖
性别 : 男
毕业院校 : 东北大学
学历 : 博士研究生毕业
学位 : 博士学位
在职信息 : 在岗
所在单位 : 数理医学院
入职时间 : 2023年12月07日
办公地点 : 正阳楼三号楼217
联系方式 : binzhou2023@zjnu.edu.cn
Email :
扫描关注
- [1]Bin Zhou, Hong Wang, Fo Hu, et al. Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning[J]. Computer Methods and Programs in Biomedicine, 2020, 193:105486.
- [2]Bin Zhou, Naishi Feng, Hong Wang, et al. A Non-invasive dual attention TCN for electromyography and motion data fusion in lower limb ambulation prediction[J]. Journal of Neural Engineering, 2022, 19(4):046051.
- [3]Bin Zhou, Hong Wang, Yanzheng Lu, et al. Ambulation prediction by fusing raw IMU data and novel sEMG time-frequency features[C]. 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering. Nanchang, China, 2022:284-288.
- [4]周斌.周斌, 王宏, 李坦, 兰钦. 完全预测下肢步行运动想象意图的可行性研究. 东北大学学报(自然科学版)[J], 2024, 45(5): 609-618.
- [5]Guibin Chen, Gang Li, Bin Zhou, et al. A DF-SSA analytical framework for revealing variations in multidimensional EEG features of epileptic seizures. Biomedical Signal Processing and Control, 100, 107073. https://doi.org/10.1016/j.bspc.2024.107073
- [6]Wei Liu, Bin Zhou, Gang Li, et al. Enhanced Diagnostics for Generalized Anxiety Disorder: Leveraging Differential Channel and Functional Connectivity Features Based on Frontal EEG Signals. Scientific Reports, 14(1), 22789.
- [7]Jiaqi Fang, Gang Li, Bin Zhou, et al. Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification[J]. Brain Sciences. 2024; 14(3):245.
- [8]Xiaodong Luo, Bin Zhou, Jilong Shi, Gang Li, et al. Effects of gender and age on sleep EEG functional connectivity differences in subjects with mild difficulty falling asleep[J]. Frontiers in Psychiatry. 2024; 15:1433316.
- [9]Xiaodong Luo, Bin Zhou, Jiaqi Fang, Gang Li, et al. Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach[J]. Diagnostics. 2024; 14(11):1122.
- [10]Yanzheng Lu, Hong Wang, Bin Zhou, et al. Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models[J]. Expert Systems with Applications, 2022, 203:117340.
- [11]Naishi Feng, Hu Fo, Hong Wang, Bin Zhou, et al. Motor Intention Decoding from the Upper Limb by Graph Convolutional Network Based on Functional Connectivity[J]. International Journal of Neural Systems, 2021, 31(15):2150047.
- [12]Chunfeng Wei, Hong Wang, Yanzheng Lu, Bin Zhou, et al. Recognition of lower limb movements using empirical mode decomposition and k-nearest neighbor entropy estimator with surface electromyogram signals[J]. Biomedical Signal Processing and Control, 2022, 71:103198.
- [13]Chunfeng Wei, Hong Wang, Fo Hu, Bin Zhou, et al. Single-channel surface electromyography signal classification with variational mode decomposition and entropy feature for lower limb movements recognition [J]. Biomedical Signal Processing and Control, 2022, 74:103487.
- [14]Chunfeng Wei, Hong Wang, Bin Zhou, et al. sEMG signal-based lower limb movements recognition using tunable Q-factor wavelet transform and Kraskov entropy[J]. IRBM, 2023, 44(4):100773.
- [15]Yanzheng Lu, Hong Wang, Fo Hu, Bin Zhou, et al. Effective recognition of human lower limb jump locomotion phases based on multi-sensor information fusion and machine learning[J]. Medical & Biological Engineering & Computing, 2021, 59(4): 883-899.
- [16]Tan Li, Hong Wang, Bin Zhou, et al. Design and feasibility study of a HCPS framework-based VR alpine skiing decision-making training system[J]. Computers & Graphics, 2023, 114:138-149.
- [17]Daqi Jiang, Hong Wang, Bin Zhou, et al. An industrial intelligent grasping system based on convolutional neural network[J]. Assembly Automation, 2022, 42(2):236-247
- [18]Gouda MA, Hong W, Jiang D, Feng N, Zhou B, Li Z. Synthesis of sEMG Signals for Hand Gestures Using a 1DDCGAN. Bioengineering. 2023; 10(12):1353. https://doi.org/10.3390/bioengineering10121353
- [19]Yanzheng. Lu, Hong Wang, Bin Zhou, et al. Human’s jump state recognition based on surface electromyography and wearable plantar-ground contact sensor[C]. 2019 2nd World Robot Conference Symposium on Advanced Robotics and Automation. Beijing, China, 2019:242-247.
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