# Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/accurate-identification-of-motor-unit-discharge-patterns-from-high-density/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aleš Holobar,M.A. Minetto,Dario Farina |
| Citations | 415 |
| DOI | 10.1088/1741-2560/11/1/016008 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://dk.um.si/IzpisGradiva.php?id=48146 |
| OpenAlex ID | https://openalex.org/W2042861111 |
| PMID | 24654270 |
| Type | article |
| Year | 2014 |

## Paper authors

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

## Paper journal

- [Journal of Neural Engineering](https://scholariq.org/journals/journal-of-neural-engineering/)

## 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/)
- [Knee injuries and reconstruction techniques](https://scholariq.org/topics/knee-injuries-and-reconstruction-techniques/)
- [Prosthetics and Rehabilitation Robotics](https://scholariq.org/topics/prosthetics-and-rehabilitation-robotics/)

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