# MI-025: EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review

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## Paper Access

* Internal PDF: <a href={"/papers/MI-025.pdf"} download style={{ display: "inline-flex", alignItems: "center", justifyContent: "center", minHeight: "2.25rem", padding: "0.45rem 0.8rem", borderRadius: "6px", backgroundColor: "#047857", color: "#ffffff", fontWeight: 700, lineHeight: 1, textDecoration: "none", boxShadow: "0 1px 2px rgba(15, 23, 42, 0.22)" }}>Download Paper</a>
* DOI / official page: [10.3390/s23052798](https://doi.org/10.3390/s23052798)
* Open-access page: [Open access page](https://www.mdpi.com/1424-8220/23/5/2798)
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## MI-025: EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review

## Metadata

* ID: MI-025
* Title: EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review
* Year: 2023
* DOI / URL: 10.3390/s23052798
* Local PDF: see Paper Access section above
* Text artifact: local-only path withheld from docs site
* Review status: `extracted`

## Study Type

* Track: MI / wearable BCI
* Task: systematic review of EEG MI BCI using wearable technologies
* Participants or dataset: 84 publications from 2012-2022
* Device/electrode setup: wearable EEG systems across reviewed studies
* Protocol/task: MI BCI applications, experimental paradigms, computational models, and datasets

## Methods

* Signal processing or analysis: PRISMA-style systematic review of technological and computational maturity
* Training/calibration: review-level evidence on paradigms and datasets
* Online/offline: literature review

## Key Results

* The review evaluates wearable MI-BCI maturity from technological and computational perspectives.
* It lists paradigms and datasets to help identify benchmarks and development guidelines.

## Limitations

* Review evidence does not validate the project's specific low-channel headset.
* Wearable does not necessarily mean robust online control.
* Quantitative claims should be traced to primary studies when needed.

## Relevance To Current Review

* Directly relevant to low-channel/productization direction.
* Helps separate research prototype claims from wearable product claims.

## Evidence Status

| Claim | Status | Evidence Note |
| --- | --- | --- |
| Wearable MI BCI is an active product-translation research direction. | verified | Abstract frames wearable EEG-based MI BCI outside purely clinical settings. |
| The review selected 84 publications from 2012-2022. | verified | Abstract states the PRISMA selection result. |
| Wearable MI evidence proves SAH-BRI-Grasp low-channel performance. | needs confirmation | Project hardware and closed-loop results are still needed. |

## Open Questions

* Which wearable systems match the project's intended electrode count and placement?
* Should the product direction include wearable MI only after SSVEP selection is stable?