fNIRS Motor Task Dataset: Treadmill Walking Signals from 20 Participants

fNIRS based dataset for motor task contains functional near-infrared spectroscopy recordings from 20 participants performing a treadmill-based walking task. The dataset was stored in the standardized Shared Near Infrared File Format (.snirf) and authored by Hamza Shabbir Minhas. It was last updated on 2026-05-31.

Use Cases

• Classifying brain states during walking based on filtered fNIRS signals.
• Analyzing hemodynamic responses in motor tasks based on preprocessed time-series data.
• Developing algorithms for brain-computer interfaces based on motor-related fNIRS recordings.

Strengths

• Data from 20 participants provides a foundation for group-level analysis.
• Signals are provided in a standardized format (.snirf) designed for fNIRS exchange and analysis.
• Includes preprocessed CSV files with filtered signals ready for classification tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling needs.

Provenance

Source

Hamza Shabbir Minhas via figshare

Collection Method

Data were collected from 20 participants performing a treadmill-based walking task.

Freshness

Last updated 2026-05-31 02:22:17; freshness should be verified.