代表性论文列表
[1] Lu, Z., Chen, M., Zong, Y., Li, X., and Zhou, P. A Novel Analysis of CMAP Scans From Perspective of Information Theory: CMAP Distribution Index (CDIX). IEEE Transactions on Biomedical Engineering, 2023. 70(4): 1182-1188.
[2] Chen, M., Lu, Z., Li, X., Zong, Y., Xie, Q., Li, S., Zhou, P. Compound Muscle Action Potential (CMAP) Scan Examination of Paretic and Contralateral Muscles Reveals Motor Unit Alterations after Stroke. Science China Life sciences. 2023.
[3] Lu, Z., Chen, M., Zong, Y., Huang, C., Li, X., and Zhou, P. Sensitivity Analysis of CMAP Scan Step Index to Different Stimulation Parameters and Examination of Muscles Affected by Spinal Cord Injury. IEEE Transactions on Biomedical Engineering, 2023.
[4] Chen, M., Lu Z, Zong Y, Li X, and Zhou P. A Novel Analysis of Compound Muscle Action Potential Scan: Staircase Function Fitting and StairFit Motor Unit Number Estimation. IEEE Journal of Biomedical and Health Informatics, 2023. 27(3): 1579-1587.
[5] Huang, C., Chen, M., Zhang, Y., Li, S., Klein, C.S., and Zhou, P. A novel muscle innervation zone estimation method using monopolar high density surface electromyography. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. 31: 22-30.
[6] Zong, Y., Lu, Z., Chen, M., Xie, Q., and Zhou, P. MScanFit motor unit number estimation of human anconeus muscle. Muscle Nerve, 2022. 65(4): 460-463.
[7] Zong, Y., Lu, Z., Zhang, L., Li, X., and Zhou, P. Motor unit number of the first dorsal interosseous muscle estimated from CMAP scan with different pulse widths and steps. Journal of Neural Engineering, 2020. 17(1): 014001.
[8] Lu, Z., Tong, K.Y., Zhang, X., Li, S., and Zhou, P. Myoelectric Pattern Recognition for Controlling a Robotic Hand: A Feasibility Study in Stroke. IEEE Transactions on Biomedical Engineering, 2019. 66(2): 365-372.
[9] Lu, Z., Briley, A., Zhou, P., and Li, S. Are there trigger points in the spastic muscles? Electromyographical evidence of dry needling effects on spastic finger flexors in chronic stroke. Frontiers in Neurology, 2020. 11: 78.
[10] Lu Z, Stampas A, Francisco G E, and Zhou P. Offline and online myoelectric pattern recognition analysis and real-time control of a robotic hand after spinal cord injury. J Neural Eng, 2019. 16(3): 036018.
[11] Lu Z, Tong K Y, Shin H, Li S, and Zhou P. Advanced Myoelectric Control for Robotic Hand-Assisted Training: Outcome from a Stroke Patient. Frontiers in Neurology, 2017. 8: 107.
[12] Lu, Z., Chen, X., Zhang, X., Tong, K.Y., and Zhou, P. Real-Time Control of an Exoskeleton Hand Robot with Myoelectric Pattern Recognition. International Journal of Neural Systems, 2017. 27(5): 1750009.
[13] Chen, M., Zhang, X., Chen, X., and Zhou, P. Automatic implementation of progressive FastICA peel-off for high density surface EMG decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018. 26(1): 144-152.
[14] Chen, M., Zhang, X., Lu, Z., Li, X., and Zhou, P. Two-source validation of progressive FastICA peel-off for automatic surface EMG decomposition in human first dorsal interosseous muscle. International Journal of Neural Systems, 2018. 28(9): 1850019.
[15] Chen, M., Zhang, X., and Zhou, P. Automatic multichannel intramuscular electromyogram decomposition: Progressive FastICA peel-off and performance validation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019. 27(1): 76-84.
[16] Chen, M. and Zhou, P. A novel framework based on FastICA for high density surface EMG decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016. 24(1): 117-127.