# Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/tutorial-analysis-of-motor-unit-discharge-characteristics-from-high-density/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alessandro Del Vecchio,Aleš Holobar,Deborah Falla,Francesco Felici,Roger M. Enoka,Dario Farina |
| Citations | 396 |
| DOI | 10.1016/j.jelekin.2020.102426 |
| Fields | Engineering,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://birmingham.elsevierpure.com/en/publications/8abbabe5-b837-4ebf-9b4f-918c6506ce07 |
| OpenAlex ID | https://openalex.org/W3021157419 |
| PMID | 32438235 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Dario Farina](https://scholariq.org/researchers/dario-farina/)

## Paper journal

- [Journal of Electromyography and Kinesiology](https://scholariq.org/journals/journal-of-electromyography-and-kinesiology/)

## Paper primary topic

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

## Paper topics

- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.