The Brain-Machine Interface Research Laboratory (BMIsLab) has 1 research group:

Brain-Machine Interface technology for Health Care 

This group of research are interested in different BMIs approaches in healthcare application such as for detection and prevention, assessment and diagnostic, rehabilitation, and management of several neurological and neuropsychiatric diseases. We are interested to develop studies that, essentially, applied brain imaging techniques of measuring Electroencephalogram (EEG) brain signals for non-invasive systems. Specifically, we use BMI operations to target brain signals for detecting health problems (e.g., tumors, sleep disorder, dementias, etc.), cognitive assessment and rehabilitation in neurological and psychological disorders (e.g., attention-deficit hyperactivity disorder, addictive disorders), and for translating brain electrical activity to control virtual avatars or robotic devices for communication and movement purposes (e.g., in order to restore sensorimotor functions and enhance quality of life in spinal cord injury patients). Furthermore, we develop isolated EEG-based studies in order to explore the neurophysiological correlates of cognitive and affective states necessary for the construction of BMI systems.