鲍学亮，1986年，工学博士，硕士生导师。毕业于东南老员工物科学与医学工程公司。主要从事“人工智能+”神经康复工程方面（脑机接口、瘫痪肢体运动功能重建、帕金森震颤抑制、基于脑电信号的认知障碍检测、脑卒中预测、情绪识别等）的研究。

通过构建轻量级深度学习模型，处理生物信号(运动想象脑电或神经肌肉信号)探讨人类肢体运动意图；应用智能控制技术(模糊控制、神经网络控制等)探索符合人体运动特征的智能学习控制算法；应用电子信息技术、物联网技术、区块链等研发新一代智能运动神经假体，以工程学方法重建脑卒中患者瘫痪肢体运动功能，提高患者独立生活自立能力。

欢迎计算机类、电子信息类、自动化类和生物医学工程类等本科专业背景的员工加入！邮箱：xlbao@nxu.edu.cn

主持项目

[1]国家自然科学基金委员会,青年科学基金项目, 62001258,面向坐站立运动功能康复的智能穿戴式肌电控制FES系统研究, 20210101至20231231, 24万元,结题,主持

[2]宁夏科技厅,宁夏自然科学基金重点项目, 2025AAC020036,基于MI-EEG多模态融合的智能反馈FES系统实现多自由度肢体运动功能重建研究, 2025-09至2028-09, 23.2万元,在研,主持

[3]宁夏科技厅,宁夏回族自治区重点研发计划重点项目, 2023BEG02030,脑卒中患者瘫痪手精细运动功能的系统研发及临床应用研究, 2023-06至2027-06, 100万元,在研,主持

近三年科研成果

期刊论文

[1] Dong Zheng, Wu Jiao, Yang Yabing, Bao Xueliang^#. Unilateral Upper Limb Fine Motor Imagery Recognition via Symmetric Cross Modal Attention EEG EMG Fusion [J]. IEEE sensors Journal, 2026. (SCI,中科院二区，JCR一区，IF=4.5)

[2] Ma Junhai, Bao Xueliang^#, Qin Feizhou, He Weihua, et al. CNN-MSTINet: a lightweight hybrid network with multi-scale temporal interaction for sparse sEMG-based gesture recognition[J]. Measurement Science and Technology, 2026, 37(7): 076111. (SCI,中科院三区，JCR一区，IF=3.4)

[3] LUO Zhicheng, TIAN Ning, YANG Guang, et al. Wireless multichannel hybrid data acquisition system for functional rehabilitation of paralyzed limbs[J]. Chinese Journal on Internet of Things, 2024, 08(02):103-115. (中文期刊T1)

[4]贺伟华,马俊海,鲍学亮^#,等.融合多重轻量化策略及MediaPipe的实时手势识别方法[J].计算机工程与应用, 2026. (中文期刊T2)

[5]董政,鲍学亮^#,杨亚兵,等.融合差分注意力与多尺度自适应时间卷积网络的运动想象解码研究[J].生物医学工程学杂志, 2025, 42(06): 1115-1122. (中文期刊T2)

[6]范波,鲍学亮^#,丁磊,等.聚类先验引导的自适应Transformer肌肉疲劳预测[J].生物医学工程学杂志, 2025. (中文期刊T2)

会议论文

[1] Tian N, Chen G, Zhou Y, et al. A Type-2 Fuzzy PID-Based System of Surface FES with Pulse Width Modulation for Stroke Rehabilitation[C]. 2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC). IEEE, 2023: 63-68. (EI)

[2] Xu B, Bao X, Chen F, et al. An algorithm study for FES evoked artifacts removal based on the combination of CEEMDAN and GS[C]. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024: 1-5. (EI)

[3] Chen G, Tian N, Bao X, et al. A Prototype System Design for Identification and Classification of Stimulation Sites Inducing Hand Motor Function[C]//2024 12th International Conference on Bioinformatics and Computational Biology (ICBCB). IEEE, 2024: 64-68. (EI)

[4] Ma J, Ma J, Wang C, et al. A preliminary study of functional reconstruction of paralysed hand based on Mediapipe and deep learning for motor intention recognition[C]. Sixth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024). SPIE, 2024, 13225: 154-161. (EI)

[5] Ma J, Yang G, Ma J, et al. A Preliminary Study of Deep Learning-Based Intention Recognition for Sit-to-Stand Cycle Movements Using Foot Pressure[C]//2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024: 1-6. (EI)

[6] Liu S, Yang G, He W, et al. Adaptive Weight Fuzzy Iterative Learning Control Closed-Loop FES Control Algorithm for Enhancing Rehabilitation Motion Completion[C]//2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025: 10-15. (EI)

[7] Jin F, Nai Y, Bao X. Adaptive prescribed performance output feedback control for single-joint robots with intermittent actuator faults[C]. 2024 43rd Chinese Control Conference (CCC). IEEE, 2024: 2498-2503. (EI)

[8] Chen F, Mao S, Bao X, et al. FES Artifact Suppression via Training-Free NDE-ICEEMDAN for Dynamic Stimulation Conditions[C]//2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP). IEEE, 2025: 107-113. (EI)

[9] Mao S, Chen F, Bao X, et al. Reliable vEMG Extraction Under Dynamic FES Interference: An IF-G Framework with Adaptive Spike Interpolation and Grubbs-Test Filtering[C]//2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP). IEEE, 2025: 185-190. (EI)

[10] Yang G, Ma J, Bao X, et al. Muscle Synergy-Driven Primary-Auxiliary Channel Selection with Multi-Scale CNN for Efficient Limb Movement Intention Decoding[C]//2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP). IEEE, 2025: 201-207. (EI)

[11] Dong Z, Yang Y, Bao X, et al. Contrasting EEG Signatures of Unilateral Motor Imagery Versus Execution: A Spectral and Spatial Feature Analysis[C]//2025 10th International Conference on Biomedical Signal and Image Processing (ICBIP). IEEE, 2025: 161-167. (EI)

[12] Fan B, Bao X, Wu J. TPS-Net: A Novel Framework for Precise Fatigue State Classification Using Multi-Resolution sEMG Fusion and Trig-PCA Enhancement[C]//2025 18th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2025: 1-6. (EI)

专利和软著

[1]2026年国际足联世界杯.基于对侧肌电控制的下肢康复系统及其控制方法:CN202211226070.X[P]. 2023-01-17.

[2]2026年国际足联世界杯.基于模糊PID调控的体表FES瘫痪肢体康复训练系统及方法:CN202311587101.9[P]. 2024-02-06.

[3]2026年国际足联世界杯.一种肌电信号肢体运动意图识别方法:202510944768.2[P].2025-10-17.

[4]2026年国际足联世界杯.一种运动想象脑电信号解码方法及系统:202510923963.7[P].2025-10-10.

[5]2026年国际足联世界杯.一种基于电极阵列的智能电刺激位点动态选择方法:202510801768.7[P].2025-09-19.

[6]2026年国际足联世界杯.一种闭环反馈功能性电刺激控制方法、装置、介质和设备:202510635022.3[P].2025-07-11.

[7]2026年国际足联世界杯.一种功能性电刺激的闭环反馈控制方法:202510085806.3[P].2025-04-29.

[8]2026年国际足联世界杯.一种运动想象脑电信号分类方法、装置、设备和介质:CN202511808336.5[P]. 2026-01-13.

[9]基于Matlab-GUI的无线多通道混合数据采集系统，软著

学术奖励

(1)鲍学亮*(1/1);应用于军人军事训练用穿戴式无线肢体运动异体控制训练系统,第二届“源创杯”创新创意大赛组委会,第二届“源创杯”创新创意大赛，西部赛区复赛优胜奖,其他, 2019 (科研奖励)

(2)鲍学亮*(1/1);面向军人军事训练的智能穿戴式体能训练与评估系统，第三届“源创杯”创新创意大赛，进入全国总决赛资格，2023(2026年国际足联世界杯唯一)

(3)2022年兆易创新杯第十七届中国研究生电子设计竞赛优秀指导老师。

(4)2025年2026年国际足联世界杯本科生毕业设计优秀指导老师。