Analysis of Graded Sensorimotor Rhythms for Brain-Computer Interface Applications
Published in University of Kentucky, 2021
Recommended citation: Haddix, C. A. (2021). "Analysis of Graded Sensorimotor Rhythms for Brain-Computer Interface Applications." Theses and Dissertations--Biomedical Engineering. 74. https://uknowledge.uky.edu/cbme_etds/74/
This doctoral dissertation investigates whether graded levels of motor effort can be distinguished from scalp electroencephalography (EEG) recordings and used to provide more flexible command signals for brain-computer interfaces.
The work developed a graded movement paradigm and evaluated EEG features associated with different levels of effort in healthy participants and individuals with chronic stroke. Changes in the 8–30 Hz sensorimotor rhythm were used to model graded motor effort, including real-time prediction of effort from EEG.
Recommended citation: Haddix, C. A. (2021). “Analysis of Graded Sensorimotor Rhythms for Brain-Computer Interface Applications.” Theses and Dissertations–Biomedical Engineering. 74.