☆ 4.7 Article

Automated labeling and online evaluation for self-paced movement detection BCI

KNOWLEDGE-BASED SYSTEMS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Artificial Intelligence

Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion

Darshana Priyasad et al.

Summary: This paper proposes a novel approach to EEG-based emotion recognition using unprocessed EEG signals. The approach utilizes SincNet convolution blocks and graph convolution networks to learn high-level features and model spatial propagation of brain activity. The proposed model achieves higher accuracy compared to state-of-the-art methods.

KNOWLEDGE-BASED SYSTEMS (2022)

添加到收藏夹

Review Engineering, Biomedical

Deep learning for motor imagery EEG-based classification: A review

Ali Al-Saegh et al.

Summary: This paper reviews the latest research on MI EEG and finds that deep neural networks can build robust and automated systems for classifying MI EEG recordings. Through comparison, convolutional neural networks and hybrid-CNN are shown to perform well on public datasets.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A Self-Paced BCI With a Collaborative Controller for Highly Reliable Wheelchair Driving: Experimental Tests With Physically Disabled Individuals

Aniana Cruz et al.

Summary: This article introduces a self-paced P300-based brain-computer interface control solution combined with dynamic time-window commands and a collaborative controller for brain-controlled wheelchairs. The proposed approach achieved high driving accuracy in experiments and received positive feedback from users, indicating potential usability improvements for BCWs in home settings.

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2021)

添加到收藏夹

Article Engineering, Biomedical

Participant-specific classifier tuning increases the performance of hand movement detection from EEG in patients with amyotrophic lateral sclerosis

Susan Aliakbaryhosseinabadi et al.

Summary: The study aimed to investigate the possibility of detecting MRCPs associated with movement intention in ALS patients at different stages of the disease. The results demonstrated high detection performance in all patients, but the classification parameters varied greatly across patients, highlighting the importance of tuning the classification pipeline to each patient individually.

JOURNAL OF NEURAL ENGINEERING (2021)

添加到收藏夹

Article Engineering, Biomedical

Online control of an assistive active glove by slow cortical signals in patients with amyotrophic lateral sclerosis

Andrej M. Savic et al.

Summary: The study successfully tested the feasibility of online detection of reaching and grasping using MRCPs and developed a BCI system for this purpose, which can assist ALS patients. The overall median TPR and PPV for online BCI control performed well in both healthy individuals and patients, with no significant difference across the blocks with or without the glove active.

JOURNAL OF NEURAL ENGINEERING (2021)

添加到收藏夹

Article Biotechnology & Applied Microbiology

A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting

Andrea Valenti et al.

Summary: Decoding motor intentions from non-invasive brain activity monitoring is challenging, especially in real-time online settings. The study shows that deep learning models are well-suited for challenging real-time BCI applications such as movement intention recognition, achieving higher accuracy than state-of-the-art models despite being trained in a more restrictive setting.

BIOENGINEERING-BASEL (2021)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review

Mamunur Rashid et al.

FRONTIERS IN NEUROROBOTICS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface

Haider Raza et al.

NEUROCOMPUTING (2019)

添加到收藏夹

Article Engineering, Biomedical

A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals

Dalin Zhang et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2019)

添加到收藏夹

Review Engineering, Biomedical

A comprehensive review of EEG-based brain-computer interface paradigms

Reza Abiri et al.

JOURNAL OF NEURAL ENGINEERING (2019)

添加到收藏夹

Article Neurosciences

Self-Paced Online vs. Cue-Based Offline Brain-Computer Interfaces for Inducing Neural Plasticity

Mads Jochumsen et al.

BRAIN SCIENCES (2019)

添加到收藏夹

Article Engineering, Biomedical

EEGNet: a compact convolutional neural network for EEG-based brain-computer interfaces

Vernon J. Lawhern et al.

JOURNAL OF NEURAL ENGINEERING (2018)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model

Dalin Zhang et al.

CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2018)

添加到收藏夹

Article Neurosciences

Deep Learning With Convolutional Neural Networks for EEG Decoding and Visualization

Robin Tibor Schirrmeister et al.

HUMAN BRAIN MAPPING (2017)

添加到收藏夹

Article Engineering, Biomedical

EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation

Kai Keng Ang et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Detection of eye blink artifacts from single prefrontal channel electroencephalogram

Won-Du Chang et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

添加到收藏夹

Review Engineering, Electrical & Electronic

A review of channel selection algorithms for EEG signal processing

Turky Alotaiby et al.

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2015)

添加到收藏夹

Article Physiology

Teager-Kaiser energy operator signal conditioning improves EMG onset detection

Stanislaw Solnik et al.

EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY (2010)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.