Editorial: Intelligent neural interface for healthcare and rehabilitation

Front Bioeng Biotechnol. 2024 Apr 16:12:1406620. doi: 10.3389/fbioe.2024.1406620. eCollection 2024.

Authors

Tianzhe Bao¹, Yingchun Zhang², Zhi-Qiang Zhang³, Ping Zhou¹

Affiliations

¹ School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao, China.
² Department of Biomedical Engineering, University of Miami, Coral Gables, FL, United States.
³ School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.

No abstract available

Keywords: healthcare monitoring; human-machine interaction; neural interface; rehabilitation training; robotic control.

Publication types

Editorial

Grants and funding

The authors declare that financial support was received for the research, authorship, and/or publication of this article. Research supported by Shandong Provincial Natural Science Foundation under Grant ZR2023QH252, and in part by the Research Project of China Disabled Persons’ Federation—on assistive technology under Grant 2023CDPFAT-03.