Human Motor Unit Spike Trains and Finger Force Data from HD-iEMG Recordings

11.7 GB of decomposed motor unit spike trains and corresponding force measurements from two human participants performing controlled finger contractions. The dataset, created by Farah Baracat and last updated in April 2026, was generated from high-density intramuscular electromyography recordings using the swarm-contrastive-decomposition framework.

Use Cases

• Decoding finger force output based on motor unit discharge timings.
• Modeling motor unit recruitment and firing patterns during isometric contractions.
• Benchmarking spike neural network (SNN) decoders for force prediction.
• Studying the relationship between individual motor unit activity and digit-specific force.

Strengths

• Large 11.7 GB dataset derived from high-density intramuscular electrode arrays.
• Includes both neural spike trains and corresponding physical force measurements.
• Data is from controlled isometric tasks at a specific force level (15% MVC).
• Motor units were decomposed using a specific, referenced open-source framework.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Motor unit identifiers are task-specific and not shared across conditions.

Provenance

Source

figshare, author Farah Baracat.

Collection Method

High-density intramuscular electromyography recordings from implanted microelectrode arrays in forearm muscles during controlled tasks.

Time Range

null

Freshness

Last updated 2026-04 23 14:12:32; freshness should be verified.

Geography

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