# Muscle Fatigue Tracking with Evoked EMG via Recurrent Neural Network: Toward Personalized Neuroprosthetics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/muscle-fatigue-tracking-with-evoked-emg-via-recurrent-neural-network-toward/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhan Li,Mitsuhiro Hayashibe,Charles Fattal,David Guiraud |
| Citations | 75 |
| DOI | 10.1109/mci.2014.2307224 |
| Fields | Engineering,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2002476628 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Zhan Li](https://scholariq.org/researchers/zhan-li/)

## 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/)
- [Motor Control and Adaptation](https://scholariq.org/topics/motor-control-and-adaptation/)

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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.
