BCI ReportClassical method
CSP+LDA: results on public EEG datasets
CSP+LDA is a classical two-stage pipeline for motor-imagery EEG: common spatial patterns (CSP) learns spatial filters whose output variances differ most between two classes, and linear discriminant analysis (LDA) classifies the log-variances of the filtered signals. Ramoser, Müller-Gerking and Pfurtscheller (2000) applied CSP with log-variance features and a linear classifier to imagined left- and right-hand movement.
Measured on: ds003810; EEGMAT; ds006593; TMNRED / ds005383; EESM19 scalp subset; ds005342 · Protocols: Motor imagery & rest; Arithmetic & rest; P300 target ERP; Semantic target ERP; Sleep staging; Idle & command
Also known as CSP+LDA · Common Spatial Patterns · CSP · Ramoser et al. 2000
Directory status: Evaluated · Implementation used here ↗ · Description sources pubmed.ncbi.nlm.nih.gov · doi.org · mne.tools
Published results
Compare figures within a group only: task, cohort, chance level and electrode layout can differ between groups. One row is above another only where their 95% intervals do not overlap.
ds003810 · Core matrix · motor imagery & rest
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CSP+LDA | Rest versus right-hand imagery | Balanced accuracy | 47.1%43.8%–50.2% | 10 |
EEGMAT · Core matrix · arithmetic & rest
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CSP+LDA | Serial subtraction versus resting EEG | Balanced accuracy | 68.3%62.0%–74.3%Broadband CSP without band-pass filtering, the recipe of the published mi-rest CSP+LDA cell; not a tuned CSP. | 36 |
ds006593 · Core matrix · P300 target ERP
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CSP+LDA | Visual target versus nontarget events | Balanced accuracy | 50.0%49.1%–50.8%Broadband CSP without band-pass filtering, the recipe of the published mi-rest CSP+LDA cell; not a tuned CSP. On this ERP protocol it reads band power, not the waveform. | 21 |
TMNRED / ds005383 · Core matrix · semantic target ERP
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CSP+LDA | Reading · target versus nontarget events | Balanced accuracy | 52.7%51.4%–54.0%Broadband CSP without band-pass filtering, the recipe of the published mi-rest CSP+LDA cell; not a tuned CSP. On this ERP protocol it reads band power, not the waveform. | 30 |
EESM19 scalp subset · Core matrix · sleep staging
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| CSP+LDA (one-vs-rest CSP) | Five stages · balanced scalp-EEG sample | Balanced accuracy | 50.1%46.9%–53.1%One-vs-rest CSP: one binary CSP per stage, 30 log-variance features, one shrinkage LDA; broadband as in the published mi-rest recipe; a new code path, not a tuned CSP. | 20 |
ds005342 · Core matrix · idle & command
TS+LR and MDM against this row on motor imagery & rest →
Cite this page
BCI Report (2026). CSP+LDA: results on public EEG datasets. https://bci.report/methods/csp-lda/
Figures from releases core-matrix-update-20261106 (2026-11-06), research-preview-20260920 (2026-09-20). Cite the upstream datasets as well: each dataset’s page gives its credit.
Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗