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Synchronous Classification of SSVEP-EMG Fusion Signal from Occipital Electrodes Using Convolutional Neural Networks.

Z. Zhang, K. Guan, Z. Qian, F. Shen, T. Liu, и H. Niu. NER, стр. 17-20. IEEE, (2021)

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Haijun Chen

Jier Niu

Xinyu Niu

Chaowei Niu

Haijun Yang

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Gait Stability Analysis with a Two-dimensional Dynamic Parameter.X. Gao, F. Shen, L. Wang, Y. Ma, H. Niu, и Y. Fan. ICBBE, стр. 92-94. ACM, (2020)Feasibility of Brain Imaging Using a Digital Surround Technology Body Coil: A Study Based on SRGAN-VGG Convolutional Neural Networks*.Y. Liu, H. Niu, H. Yin, J. Xia, P. Ren, T. Zhang, J. Li, H. Lv, H. Ding, J. Ren и 1 other автор(ы). EMBC, стр. 3734-3737. IEEE, (2021)LGNet: Learning local-global EEG representations for cognitive workload classification in simulated flights.Y. Wang, M. Han, Y. Peng, R. Zhao, D. Fan, X. Meng, H. Xu, H. Niu, J. Cheng, и T. Liu. Biomed. Signal Process. Control., (2024)Correlations between X-ray attenuation and GAG content of different cartilage layers based on contrast agent enhanced Micro-CT.F. Fan, X. Li, P. Ren, X. Cai, Y. Yan, Y. Fan, и H. Niu. EMBC, стр. 6366-6369. IEEE, (2015)Ultrasound observation of GAG content of human hip joint cartilage in different old age groups.P. Ren, X. Li, F. Fan, X. Cai, H. Gong, Y. Fan, и H. Niu. EMBC, стр. 2697-2700. IEEE, (2015)Development and perceptual evaluation of pitch controllable electrolarynx.L. Wang, Y. Feng, Z. Yang, и H. Niu. BHI, стр. 305-308. IEEE, (2017)Characteristics Measurement of Ballistic Pressure Pulse in Phantom Using a PVDF Sensor.L. Xu, F. Shen, F. Fan, Q. Wu, F. Li, L. Wang, и H. Niu. ICBBE, стр. 125-129. ACM, (2023)The Study of Nonlinear Change of Bladder During Urinary Store Based on MRI.H. Niu, L. Li, F. Ma, F. Pu, D. Li, и Y. Fan. BMEI, стр. 1-4. IEEE, (2009)Computation of Uniaxial Modulus of the Normal and Degenerated Articular Cartilage Using Inhomogeneous Triphasic Model.H. Niu, Q. Wang, Y. Zheng, F. Pu, Y. Fan, и D. Li. LSMS (2), том 4689 из Lecture Notes in Computer Science, стр. 104-110. Springer, (2007)Mandarin Electro-Laryngeal Speech Enhancement based on Statistical Voice Conversion and Manual Tone Control.Z. Qian, H. Niu, L. Wang, K. Kobayashi, S. Zhang, и T. Toda. APSIPA ASC, стр. 546-552. IEEE, (2021)

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