Human Locomotor Muscle Activity Patterns Across Speeds

Multi-muscle electromyographic recordings analyzed to map motoneuron activity and extract locomotor modules during human locomotion. The data reconstructs motoneuron activation patterns for three distinct speed conditions: slow walking, fast walking, and running.

Use Cases

• Analyze the proportion of rostral to caudal segment activity across the three speed conditions (slow walking, fast walking, running).
• Investigate the distinct combinations of locomotor modules that generate different motoneuron activation patterns.
• Map the distribution of motoneuron activity in the spinal cord from multi-muscle electromyographic recordings.

Strengths

• Data is derived from multi-muscle electromyographic recordings, providing a direct physiological signal.
• Analysis is structured around three clearly defined locomotor speed conditions.
• Dataset is associated with peer-reviewed research investigating phylogenetically conserved spinal circuits.

Limitations

• Sample size, number of participants, and specific data dimensions (rows, columns) are unknown.
• Data is from a single study, which may limit generalizability to broader populations.
• The raw electromyographic signals and derived features are not described in detail.

Provenance

Source

Dryad digital repository.

Collection Method

Multi-muscle electromyographic recordings analyzed to reconstruct motoneuron activity and extract locomotor modules.

Freshness

Last updated in June 2020.