# Motor Imagery

> Generated from `library/paper_cards/`. Do not edit this page directly; edit paper cards and rerun `vp run docs:generate`.

Motor-imagery mechanisms, CSP/FBCSP, Riemannian and transfer-learning methods, deep EEG models, wearable systems, robotic control, and rehabilitation context.

## Paper Cards

| ID | Year | Status | Title |
| --- | ---: | --- | --- |
| [MI-002](/paper-library/cards/mi-002) | 2000 | `extracted` | Optimal spatial filtering of single trial EEG during imagined hand movement |
| [MI-004](/paper-library/cards/mi-004) | 2018 | `extracted` | EEGNet: A compact convolutional neural network for EEG-based brain-computer interfaces |
| [MI-005](/paper-library/cards/mi-005) | 2016 | `extracted` | Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks |
| [MI-006](/paper-library/cards/mi-006) | 2001 | `extracted` | Motor imagery and direct brain-computer communication |
| [MI-007](/paper-library/cards/mi-007) | 2012 | `extracted` | Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface |
| [MI-008](/paper-library/cards/mi-008) | 2012 | `extracted` | Review of the BCI Competition IV |
| [MI-009](/paper-library/cards/mi-009) | 2004 | `extracted` | Noninvasive brain-actuated control of a mobile robot by human EEG |
| [MI-013](/paper-library/cards/mi-013) | 2007 | `extracted` | A review of classification algorithms for EEG-based brain-computer interfaces |
| [MI-014](/paper-library/cards/mi-014) | 2008 | `extracted` | Optimizing Spatial Filters for Robust EEG Single-Trial Analysis |
| [MI-016](/paper-library/cards/mi-016) | 2012 | `extracted` | Multiclass Brain-Computer Interface Classification by Riemannian Geometry |
| [MI-017](/paper-library/cards/mi-017) | 2012 | `extracted` | Stationary Common Spatial Patterns for Brain-Computer Interfacing |
| [MI-018](/paper-library/cards/mi-018) | 2015 | `extracted` | Transfer Learning in Brain-Computer Interfaces |
| [MI-020](/paper-library/cards/mi-020) | 2018 | `extracted` | Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks |
| [MI-021](/paper-library/cards/mi-021) | 2018 | `extracted` | An End-to-end Deep Learning Approach to MI-EEG Signal Classification for BCIs |
| [MI-022](/paper-library/cards/mi-022) | 2019 | `extracted` | Deep learning-based electroencephalography analysis: a systematic review |
| [MI-023](/paper-library/cards/mi-023) | 2021 | `extracted` | Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline |
| [MI-024](/paper-library/cards/mi-024) | 2021 | `extracted` | BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data |
| [MI-025](/paper-library/cards/mi-025) | 2023 | `extracted` | EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review |
| [MI-027](/paper-library/cards/mi-027) | 2024 | `extracted` | Riemannian Geometry-Based EEG Approaches: A Literature Review |
| [MI-028](/paper-library/cards/mi-028) | 2024 | `extracted` | Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review |
| [MI-029](/paper-library/cards/mi-029) | 2011 | `extracted` | Continuous Three-Dimensional Control of a Virtual Helicopter Using a Motor Imagery Based Brain-Computer Interface |
| [MI-030](/paper-library/cards/mi-030) | 2014 | `extracted` | Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution |
| [MI-031](/paper-library/cards/mi-031) | 2021 | `extracted` | Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review |
| [MI-032](/paper-library/cards/mi-032) | 2025 | `extracted` | Effects of brain-computer interface based training on post-stroke upper-limb rehabilitation: a meta-analysis |

## Use In SAH-BRI-Grasp

Use this page to locate source cards for evidence review. Promote claims through `library/EVIDENCE_MATRIX.md` before using them as manuscript-level claims.