Natalie Richer
Papers
1
Total Citations
51
H-Index
1
About
Dr. Natalie Richer is a leading researcher in mobile brain imaging and neuroergonomics, specializing in the intersection of electroencephalography (EEG) and human movement. Her primary research areas focus on developing robust methodologies to capture high-fidelity neural signals during real-world locomotion, addressing the persistent challenge of motion and muscle artifacts in EEG recordings. In her most cited work (2020, 51 citations), Dr. Richer pioneered a novel validation framework using an electrical head phantom and robotic motion platform to systematically evaluate artifact removal techniques. This innovative approach allowed her team to recover ground-truth artificial brain signals from noisy recordings, establishing a gold standard for assessing signal quality during dynamic tasks. Her contributions have significantly advanced the field of mobile neuroimaging, enabling more reliable studies of brain activity during naturalistic movement. Dr. Richer’s work is instrumental for researchers exploring cognitive-motor integration, rehabilitation, and human performance, as it provides the technical foundation necessary to disentangle genuine neural activity from physiological noise. Her rigorous validation methods continue to shape best practices in EEG research, making her a pivotal figure in translating laboratory-based neuroimaging to real-world applications.
Research Focus
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Top Papers
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