eBrain Lab - SFU Centre for Engineering-Led Brain Research
eBrain Lab enables translational neuroscience tools to address youth mental health and addiction. It uses neurotechnologies such as biosensors and brain stimulation, along with data mining, machine learning, and behavior assessment methods to translate research into practical diagnostics and therapies. The work combines biomedical engineering, computer science, and neuroscience to build software and hardware solutions that integrate with research workflows and clinical settings. The team applies signals, imaging, and ML techniques through virtual and augmented reality-enabled assessments and computerized behavioral training to improve outcomes. The focus is on scaling proven approaches for real-world use in health care and education, translating lab discoveries into accessible solutions for end-users.
eBrain Lab - SFU Centre for Engineering-Led Brain Research
eBrain Lab enables translational neuroscience tools to address youth mental health and addiction. It uses neurotechnologies such as biosensors and brain stimulation, along with data mining, machine learning, and behavior assessment methods to translate research into practical diagnostics and therapies. The work combines biomedical engineering, computer science, and neuroscience to build software and hardware solutions that integrate with research workflows and clinical settings. The team applies signals, imaging, and ML techniques through virtual and augmented reality-enabled assessments and computerized behavioral training to improve outcomes. The focus is on scaling proven approaches for real-world use in health care and education, translating lab discoveries into accessible solutions for end-users.