Case Report: Post-Stroke Rehabilitation with Visuomotor BCI, 5 Patients

A retrospective exploratory case series of five patients evaluating a P300-based brain-computer interface for upper limb rehabilitation after stroke. The data includes BCI performance, neurophysiological responses, and clinical measures assessed before and after a 10-session rehabilitation course integrated with a robotic orthosis and virtual reality. The dataset was authored by Alisa Kokorina and last updated on 2026-04 14.

Use Cases

• Compare BCI performance between P300 and motor imagery paradigms based on the described experimental conditions.
• Analyze correlations between neurophysiological responses (event-related potentials/desynchronization) and clinical outcomes based on the described measures.
• Assess the feasibility and safety of VR-assisted robotic rehabilitation frameworks based on the reported adverse event monitoring.
• Generate hypotheses for controlled clinical studies based on the exploratory findings from the small, heterogeneous cohort.

Strengths

• Includes multiple data modalities: BCI performance, neurophysiological responses, and clinical assessment scores.
• Data collection followed a structured 10-session rehabilitation course with pre- and post-intervention measurements.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (10.2 KB), indicating limited scope and a sample size of only five patients.

Provenance

Source

figshare

Collection Method

Retrospective data collection from an exploratory case series study.

Time Range

Temporal coverage of the rehabilitation course is not specified.

Freshness

Last updated 2026-04-14 05:39:00; freshness should be verified.

Geography

Spatial coverage is not specified.