# EEG Signals Analysis for motor imagery based on Curvelet Transform

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/eeg-signals-analysis-for-motor-imagery-based-on-curvelet-transform/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Subhani Shaik,Uppu Ravibabu,Shaik Subhani |
| Citations | 2 |
| DOI | 10.26483/ijarcs.v8i3.3014 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | http://www.ijarcs.info/index.php/Ijarcs/article/download/3014/2997 |
| OpenAlex ID | https://openalex.org/W3083982400 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Shaik Subhani](https://scholariq.org/researchers/shaik-subhani/)

## Paper journal

- [International Journal of Advanced Research in Computer Science](https://scholariq.org/journals/international-journal-of-advanced-research-in-computer-science/)

## 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/)
- [Gaze Tracking and Assistive Technology](https://scholariq.org/topics/gaze-tracking-and-assistive-technology/)
- [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.