# A novel approach for enhancing the signal-to-noise ratio and detecting automatically event-related potentials (ERPs) in single trials

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-approach-for-enhancing-the-signal-to-noise-ratio-and-detecting/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Li Hu,André Mouraux,Yong Hu,Gian Domenico Iannetti |
| Citations | 183 |
| DOI | 10.1016/j.neuroimage.2009.12.010 |
| Fields | Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2046891402 |
| PMID | 20004255 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Yong Hu](https://scholariq.org/researchers/yong-hu/)

## Paper journal

- [NeuroImage](https://scholariq.org/journals/neuroimage/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Neural and Behavioral Psychology Studies](https://scholariq.org/topics/neural-and-behavioral-psychology-studies/)

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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.