Evidence map›Paper›PMID 38974471›Full record

ArticleiScience2024

A high-performance general computer cursor control scheme based on a hybrid BCI combining motor imagery and eye-tracking.

Jiakai Zhang, Yuqi Zhang, Xinlong Zhang, Boyang Xu, Huanqing Zhao, Tinghui Sun, Ju Wang, Shaojie Lu, Xiaoyan Shen

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jiakai ZhangSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Yuqi ZhangSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Xinlong ZhangSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Boyang XuSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Huanqing ZhaoSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Tinghui SunSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Ju WangSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Shaojie LuSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Xiaoyan ShenSchool of Information Science and Technology, Nantong University, Nantong 226019, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel virtual cursor control system designed to empower individuals with neuromuscular disabilities in the digital world. By combining eye-tracking with motor imagery (MI) in a hybrid brain-computer interface (BCI), the system enhances cursor control accuracy and simplicity. Real-time classification accuracy reaches 87.92% (peak of 93.33%), with cursor stability in the gazing state at 96.1%. Integrated into common operating systems, it enables tasks like text entry, online chatting, email, web surfing, and picture dragging, with an average text input rate of 53.2 characters per minute (CPM). This technology facilitates fundamental computing tasks for patients, fostering their integration into the online community and paving the way for future developments in BCI systems.

Indexed as

Human-computer interactionNeuroscience

Identifiers

PMID38974471
PMCPMC11225862

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.