A Feature Transfer-Based Deep Neural Network for Wearable SSVEP-EEG Signal Classification

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Biomedical Engineering and Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbet.2025.10073954
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Feature Transfer-Based Deep Neural Network for Wearable SSVEP-EEG Signal Classification

Kai Li, Yongquan Xia, Jiaofen Nan, Zhuo Zhang et al.
International Journal of Biomedical Engineering and Technology
EEG and Brain-Computer Interfaces
article

A Feature Transfer-Based Deep Neural Network for Wearable SSVEP-EEG Signal Classification

Kai Li, Yongquan Xia, Jiaofen Nan, Zhuo Zhang, Ronglei Lu, Duan Li, Chunlai Yu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Biomedical Engineering and TechnologyVol. 1(1)
Openalex Percentile: Top 72%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Feature Transfer-Based Deep Neural Network for Wearable SSVEP-EEG Signal Classification — Kai Li, Yongquan Xia, et al. · International Journal of Biomedical Engineering and Technology (2025) | TGRS Research Map | TGRS