Editorial: Machine learning and deep learning in biomedical signal analysis

Bao Feng; Tianyou Yu; Hongtao Wang; Ke Liu; Wei Wu; Wansheng Long

doi:10.3389/fnhum.2023.1183840

Editorial: Machine learning and deep learning in biomedical signal analysis

Front Hum Neurosci. 2023 May 4:17:1183840. doi: 10.3389/fnhum.2023.1183840. eCollection 2023.

Authors

Bao Feng¹, Tianyou Yu², Hongtao Wang³, Ke Liu⁴, Wei Wu⁵, Wansheng Long⁶

Affiliations

¹ Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China.
² Center for Brain Computer Interfaces and Brain Information Processing, School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China.
³ Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China.
⁴ College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China.
⁵ Alto Neuroscience Inc., Palo Alto, CA, United States.
⁶ Department of Radiology, Jiangmen Central Hospital, Jiangmen, China.

No abstract available

Keywords: EEG based brain-computer interfacing; automated parameterization; deep learning—artificial neural network; domain adaptation; explainable learning; federal learning; radiological imaging; transfer learning.

Publication types

Editorial