Lower Body Electromyography Data from 30 Participants Running at 7 Speeds

30 participants provided electromyography signals from 10 lower body muscles during running at 7 distinct speeds, along with 6 static repetitions and MVC signals. The PRODEM project aims to study leg muscle performance during physical exercise to inform optimal sports insole development. The dataset was harvested by e-cienciaDatos from Dataverse and last updated on 2026-05-31.

Use Cases

• Analyze muscle activation patterns based on signals from 10 lower body muscles.
• Model the relationship between running speed and muscle recruitment based on data from 7 distinct speeds.
• Compare dynamic and static muscle activity based on running trials and 6 static repetitions.
• Normalize EMG signals using the included MVC (Maximum Voluntary Contraction) reference data.

Strengths

• Includes data from 30 human participants.
• Covers 10 distinct lower body muscles.
• Captures muscle activity at 7 different running speeds.
• Provides MVC reference signals for normalization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Fuentes del Toro, Sergio via e-cienciaDatos Harvested Dataverse

Collection Method

Collected during laboratory trials measuring electromyographic signals.

Freshness

Last updated 2026-05-31 04:10:20; freshness should be verified.