日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Changes in cortical beta power predict motor control flexibility, not vigor

皮层β波功率的变化可以预测运动控制的灵活性,但不能预测活力。

Pierrieau, Emeline; Dussard, Claire; Plantey-Veux, Axel; Guerrini, Cloé; Lau, Brian; Pillette, Léa; George, Nathalie; Jeunet-Kelway, Camille

A large EEG database with users' profile information for motor imagery brain-computer interface research

一个包含用户个人资料信息的大型脑电图数据库,用于运动想象脑机接口研究

Dreyer, Pauline; Roc, Aline; Pillette, Léa; Rimbert, Sébastien; Lotte, Fabien

Conference report: Biocuration 2021 Virtual Conference

会议报告:2021年生物信息管理虚拟会议

von Groll, Valentina Gamboa; Leeuwis, Nikki; Rimbert, Sébastien; Roc, Aline; Pillette, Léa; Lotte, Fabien; Alimardani, Maryam; Quaglia, Federica; Balakrishnan, Rama; Bello, Susan M; Vasilevsky, Nicole

Modeling the acceptability of BCIs for motor rehabilitation after stroke: A large scale study on the general public

构建脑机接口在卒中后运动康复中的可接受性模型:一项针对普通人群的大规模研究

Grevet, Elise; Forge, Killyam; Tadiello, Sebastien; Izac, Margaux; Amadieu, Franck; Brunel, Lionel; Pillette, Léa; Py, Jacques; Gasq, David; Jeunet-Kelway, Camille

BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification

BioPyC,一个用于离线脑电图和生理信号分类的开源Python工具箱

Appriou, Aurélien; Pillette, Léa; Trocellier, David; Dutartre, Dan; Cichocki, Andrzej; Lotte, Fabien

Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training

四肢瘫痪用户的长期脑机接口训练:自适应黎曼分类器和用户训练

Benaroch, Camille; Sadatnejad, Khadijeh; Roc, Aline; Appriou, Aurélien; Monseigne, Thibaut; Pramij, Smeety; Mladenovic, Jelena; Pillette, Léa; Jeunet, Camille; Lotte, Fabien

Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

为什么我们应该在基于脑机接口的中风后运动康复研究中系统地评估、控制和报告体感障碍

Pillette, Léa; Lotte, Fabien; N'Kaoua, Bernard; Joseph, Pierre-Alain; Jeunet, Camille; Glize, Bertrand