A robust, generalizable foundation model for bioelectrical signals
Developing a foundation model that generalizes across heterogeneous bioelectrical signal domains.
2024.10 –
·Motivation
AI for bioelectrical signals suffers from insufficient labeled data, high noise, large variability, and study-specific data collection — leading to low efficiency, poor generalizability, and difficult training and deployment.
·Methodology
Develop a foundation model that accounts for the unique characteristics of bioelectrical signal acquisition mechanisms.
·Contribution
Enables the development of a wide range of downstream solutions.
