Browsing University of Waterloo by Author "Jiang, Ning"
Now showing items 21-28 of 28
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Non-invasive brain stimulation interventions for management of chronic central neuropathic pain: a scoping review protocol
Chen, Mei Lin; Yao, Lin; Boger, Jennifer; Mercer, Kathryn; Thompson, Benjamin; Jiang, Ning (BMJ Publishing Group, 2017-10-16)Introduction Pain can affect people regardless of age, gender or ethnicity. Chronic central neuropathic pain (CCNP) is a debilitating condition that affects populations such as stroke survivors, amputees, spinal cord injury ... -
A Novel Percutaneous Electrode Implant for Improving Robustness in Advanced Myoelectric Control
Hahne, Janne M.; Farina, Dario; Jiang, Ning; Liebetanz, David (Frontiers Media, 2016-03-31)Despite several decades of research, electrically powered hand and arm prostheses are still controlled with very simple algorithms that process the surface electromyogram (EMG) of remnant muscles to achieve control of one ... -
Online mapping of EMG signals into kinematics by autoencoding
Vujaklija, Ivan; Shalchyan, Vahid; Kamavuako, Ernest Nlandu; Jiang, Ning; Marateb, Hamid R.; Farina, Dario (Biomed Central, 2018-03-13)Background: In this paper, we propose a nonlinear minimally supervised method based on autoencoding (AEN) of EMG for myocontrol. The proposed method was tested against the state-of-the-art (SOA) control scheme using a ... -
Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery
Yao, Lin; Sheng, Xinjun; Mrachacz-Kersting, Natalie; Zhu, Xiangyang; Farina, Dario; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2017-11-03)A large proportion of users do not achieve adequate control using current non-invasive Brain-computer Interfaces (BCI). This issue has being coined “BCI-Illiteracy”, and is observed among BCI modalities. Here, we compare ... -
Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization
Lin, Chuang; Wang, Binghui; Jiang, Ning; Farina, Dario (Institute of Physics, 2017-10-27)Objective. This paper proposes a novel simultaneous and proportional multiple degree of freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is based on non-negative matrix factorization ... -
Sensory Stimulation Training for BCI System based on Somatosensory Attentional Orientation
Yao, Lin; Sheng, Xinjun; Mrachacz-Kersting, Natalie; Zhu, Xiangyang; Farina, Dario; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2018-07-04)In this study, we propose a sensory stimulation training (SST) approach to improve the performance of a brain-computer interface (BCI) based on somatosensory attentional orientation (SAO). In this BCI, subjects imagine the ... -
Spatial Information Enhances Myoelectric Control Performance with Only Two Channels
He, Jiayuan; Sheng, Xinjun; Zhu, Xiangyang; Jiang, Chaozhe; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2018-09-10)Automatic gesture recognition (AGR) is investigated as an effortless human-machine interaction method, potentially applied in many industrial sectors. When using surface electromyogram (sEMG) for AGR, i.e. myoelectric ... -
Wrist and Finger Gesture Recognition with Single-element A-mode Ultrasound signal: A Comparison with Single-channel Surface Electromyogram
He, Jiayuan; Luo, Henry; Jia, Jie; Yeow, John; Jiang, Ning (Institute of Electrical and Electronics Engineers, 2018-10-01)With the ability to detect volumetric changes of contracting muscles, ultrasound (US) was a potential technique in the field of human-machine interface (HMI). Compared to the US imaging (B-mode US), the signal from a static ...