Robotic hand with real handWhat do we do?

The Waterloo Engineering Bionics lab develops technologies that will shape the future of the interaction of human and artificial systems. We conduct inter-disciplinary research across neuro-engineering, artificial intelligence, robotics, neuroscience, and medicine. We study mainly on physiological signals, such as electromyogram (EMG), electroencephalogram (EEG) and electrocardiogram (ECG), extracting useful information such as motion intentions, sensory processing, emotional states and cognitive processing. With these information, we develop systems that would allow synergistic interaction between human and artificial systems, computers, robotics, mobile devices, virtual reality etc. Our lab collaborates with hospitals, industry partners, and other research labs from all over the world to create novel ideas that are accessible to everyone.

Specifically, we are working on non-invasive brain-computer interfaces, affordable intelligent thought-controlled prosthetics and mobile ECG solutions.

  1. May 9, 2019Paper got accepted in Journal of Neural Engineering.

    Paper tittled "Continuous 2-D Control via State-Machine triggered by Endogenous Sensory Discrimination and a Fast Brain Switch" has been accepted for publishing in Journal of Neural Engineering. 


    Xu, Ren; Dosen, Strahinja; Jiang, Ning; Yao, Lin; Farooq, Asma; Jochumsen, Mads; Mrachacz-Kersting, Natalie; Dremstrup, Kim; Farina, Dario

    Article reference: JNE-102907.R1

  2. May 2, 2019Paper got accepted in IEEE in Transactions on Neural Systems & Rehabilitation Engineering journal

    Paper titled "A Convolution Neural Network for the Detection of Asynchronous Steady State Motion Visual Evoked Potential"

    Authors: Xin Zhang, Guanghua Xu, Xiang Mou, Aravind Ravi, Min Li, Yiwen Wang, and Ning Jiang

    Has been accepted to be published in IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE-2018-00467.R2)

  3. Apr. 24, 2019Featured Article in IEEE Transactions on Neural Systems and Rehabilitation Engineeringfeatured article photo

    The research of Ms. Meilin Chen (MSc, jointed supervised with Prof. Jennifer Boger), Age-Related Changes in Vibro-Tactile EEG Response and Its Implications in BCI Applications: A Comparison Between Older and Younger Populations, is featured in the most recent issue of IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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Brain computer interfaces

Developing brain-controlled systems for use in rehabilitation systems and new ways of communication.

Myoelectric control

Developing new control systems to assist and train patients in controlling prosthetics and wheelchairs.


Developing new, mobile solutions for vitals-monitoring and diagnostics.