Li, Guanglin

Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses

Li, G., Schultz, A. E., & Kuiken, T. A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics

Cited by 443

An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction

Samuel, O. W., Asogbon, G. M., Sangaiah, A. K., Fang, P., & Li, G. (2017) · Expert Systems with Applications

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 425

Decoding a New Neural–Machine Interface for Control of Artificial Limbs

Zhou, P., Lowery, M. M., Englehart, K. B., Huang, H., Li, G., Hargrove, L., Dewald, J. P. A., & Kuiken, T. A. (2007) · Journal of Neurophysiology

Muscle activation and electromyography studiesEEG and Brain-Computer Interfaces

Cited by 215

Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: Advances, current challenges, and future prospects

Samuel, O. W., Asogbon, M. G., Geng, Y., Al-Timemy, A. H., Pirbhulal, S., Ji, N., Chen, S., Fang, P., & Li, G. (2019) · IEEE Access

Muscle activation and electromyography studiesProsthetics and Rehabilitation Robotics

Cited by 185

The Emergence of Functional Ultrasound for Noninvasive Brain–Computer Interface

Zheng, H., Niu, L., Qiu, W., Liang, D., Long, X., Li, G., Liu, Z., & Meng, L. (2023) · Research

Ultrasound and Hyperthermia ApplicationsPhotoacoustic and Ultrasonic Imaging

Cited by 27