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Gait Speed can be Predicted Accurately from Minimally Processed High-Density Electroencephalography Signals

Year: 2025

Type: conference-paper

Source: International IEEE/EMBS Conference on Neural Engineering

DOI: 10.1109/ner61569.2025.11588978

Authors: Jirui Fu, Mamoon Ulhaq, Yue Wen, Helen J. Huang

Institution: University of Central Florida

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: closed

Funder: National Science Foundation

Award: CAREER: Leveraging Electroencephalography (EEG) Artifacts for Multimodal Neuromechanics

OpenAlex ID: W7167821261

FWCI:

Cites: 29

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Related to: 10