Browsing University of Waterloo by Supervisor "Jiang, Ning"
Now showing items 1-10 of 10
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Age-related effects on EEG and Brain-computer Interface Classification
(University of Waterloo, 2018-08-13)There is a rapid increase in the number of older adults around the world. This directly translates to an increase in the number of people living with health complications that are more prevalent in the elderly population, ... -
Age-Sensitive Features for Detection of Muscle Fatigue using the High-Density Electromyogram
(University of Waterloo, 2022-01-18)The processes behind fatigue development within the muscles have been a topic of interest for exercise scientists for decades. This is because fatigue is one of the primary reasons for a decrease in performance and increase ... -
Applications of Neural Networks in Classifying Trained and Novel Gestures Using Surface Electromyography
(University of Waterloo, 2019-09-09)Current prosthetic control systems explored in the literature that use pattern recognition can perform a limited number of pre-assigned functions, as they must be trained using muscle signals for every movement the user ... -
A Comparison of Movement-Related Cortical Potentials and Their Application in Brain-Computer Interfaces for Autism Spectrum Disorder
(University of Waterloo, 2019-04-23)Brain-computer interfaces have the potential to improve the lives of many populations who benefit from neurofeedback. Autism Spectrum Disorder is a condition experienced by many and its deficits are potentially improved ... -
Electrocorticographic Features and Classification of Intracranial Glioma
(University of Waterloo, 2021-03-23)During surgical resection of tumorous intracranial tissue in the human brain, different methods are used to locate the boundaries of the tumorous tissue because maximal resection of the tumorous tissue has been associated ... -
Enhancing the Decoding Performance of Steady-State Visual Evoked Potentials based Brain-Computer Interface
(University of Waterloo, 2019-08-14)Non-invasive Brain-Computer Interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) responses are the most widely used BCI. SSVEP are responses elicited in the visual cortex when a user gazes at an object ... -
Extracting ECG-based cardiac information from the upper arm
(University of Waterloo, 2023-01-24)Cardiovascular disease (CVD) is the global number one cause of death. Therefore, there is an acute need for constantly monitoring cardiac conditions and/or cardiac monitoring for extended periods. The current clinical ... -
Pseudo-online Detection and Classification for Upper-limb Movements from Scalp Electroencephalogram
(University of Waterloo, 2021-12-22)Stroke has been a significant healthcare issue worldwide, leading to motor impairment and complicated rehabilitation procedures, which often last for years after lesion. In recent years, brain-computer interface (BCI) ... -
Slip Prediction for Upper-Limb Prosthetics
(University of Waterloo, 2021-06-02)Amputees have greatly benefitted from improved prosthetic technologies, increasing dexterity, degrees of freedom, and attachment to the body, however sensory feedback has made comparatively little improvement. Osseointegration ... -
Ultra-Low latency in Human-machine Interfacing using EMG Onset Detection and Pattern Recognition
(University of Waterloo, 2021-01-26)The research and development of advanced human-machine interfaces (HMI) have seen a significant surge during the last decade. These HMIs are gradually started to be integrated into our lives. Electromyography (EMG) is one ...