# Multimodal gait dataset · treadmill walking: EEG decoding results

Treadmill walking at three speeds

Treadmill-walking dataset from 59 healthy young adults at Khalifa University, each walking one minute at 0.5, 0.75 and 1.0 m/s, with synchronized 19-channel dry-electrode EEG (DSI-24), surface EMG from 12 lower-limb muscles, 17-sensor IMU kinematics and split-belt force plates. Released on PhysioNet as v1.0.0 (CC BY 4.0, April 2026) by Katmah et al.

**Also known as** A multimodal gait dataset of brain activity, muscle activity, kinematics and ground forces in young adults · PhysioNet multimodal-gait-dataset · doi:10.13026/r0ea-7161

Description sources [physionet.org](https://physionet.org/content/multimodal-gait-dataset/1.0.0/) · [doi.org](https://doi.org/10.13026/r0ea-7161)

## Where it appears

- [Does EEG decoding still work while walking or running?](https://bci.report/topics/on-the-move/)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### Movement · treadmill walking speed (a confound case)

Read with its protocol: [On the move](https://bci.report/topics/on-the-move/) · Chance level 33.3% · [context-update.json](https://bci.report/data/context-update.json)

**Balanced accuracy, 2 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Relative spectral bands · Relative spectral bands, 19 scalp channels: 45.4% (39.1%–51.7%)
- Movement-nuisance features · Movement-nuisance features, not brain signal: 50.6% (44.3%–56.9%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Relative spectral bands | Relative spectral bands, 19 scalp channels | Balanced accuracy | 45.4% (39.1%–51.7%) | 58 |
| Movement-nuisance features — reference or comparator, not a decoding model | Movement-nuisance features, not brain signal | Balanced accuracy | 50.6% (44.3%–56.9%) | 58 |

## Source and licence

### Multimodal gait dataset · treadmill walking

**Credit** R. Katmah, A. AlShehhi, D. Kosaji, N. Al-Rahmani, M. Abdullah, A. A. V. Hulleck and K. Khalaf · A multimodal gait dataset of brain activity, muscle activity, kinematics and ground forces in young adults, PhysioNet v1.0.0 (2026), doi:10.13026/r0ea-7161.

[CC-BY-4.0 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://doi.org/10.13026/r0ea-7161)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.

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Markdown copy of https://bci.report/datasets/gait-eeg/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/