Pith. sign in
Pith Number

pith:V2K2SURN

pith:2026:V2K2SURNSZULG5VIPHHDVMB2XY
not attested not anchored not stored refs pending

From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs

Apolline Mellot, Arnaud Delorme, Arnault H. Caillet, Bruno Aristimunha, Davoud Hajhassani, Lionel Kusch, Paul-Adrien Graignic, Thomas Semah

Automated EEG artifact rejection improves motor imagery BCI decoding most for low-SNR subjects and reduces performance gaps across users.

arxiv:2605.12408 v2 · 2026-05-12 · eess.SP

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V2K2SURNSZULG5VIPHHDVMB2XY}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We show rejection effects are strongly subject- and regime-dependent, with the largest gains in low-baseline/low-SNR conditions, so it should be used adaptively. FAAR reduces inter-subject performance variability, an important property for MI-BCI reliability and BCI-illiteracy, without aggressive data removal.

C2weakest assumption

That the compact artifact-sensitive features and derived Signal Quality Index reliably identify contaminated epochs across diverse MI datasets and artifact types without any prior knowledge or manual tuning, and that observed performance gains are attributable to the rejection policy rather than dataset-specific factors.

C3one line summary

FAAR is a new lightweight automated artifact rejection method for EEG that improves motor imagery BCI decoding in low-SNR conditions, reduces inter-subject variability across 13 public datasets, and supports real-time use without manual tuning.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-25T02:01:23.680680Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ae95a9522d9668b376a879ce3ab03abe27085f86ffeeb9211b662e6379a10fcf

Aliases

arxiv: 2605.12408 · arxiv_version: 2605.12408v2 · doi: 10.48550/arxiv.2605.12408 · pith_short_12: V2K2SURNSZUL · pith_short_16: V2K2SURNSZULG5VI · pith_short_8: V2K2SURN
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V2K2SURNSZULG5VIPHHDVMB2XY \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ae95a9522d9668b376a879ce3ab03abe27085f86ffeeb9211b662e6379a10fcf
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "495248f6230d39dcb781944e0d513e6386254e882eae5e0b3fcf95ed5428fdc0",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-12T17:05:13Z",
    "title_canon_sha256": "0d27f380a5c229252ca9e76e9f3c52e991c51da41c79ea42d108308c4691fe1b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12408",
    "kind": "arxiv",
    "version": 2
  }
}