# Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/motor-imagery-eeg-signals-classification-based-on-mode-amplitude-and-frequency/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Tariq Sadiq,Xiaojun Yu,Zhaohui Yuan,Zeming Fan,Ateeq Ur Rehman,Guoqi Li,Gaoxi Xiao |
| Citations | 157 |
| DOI | 10.1109/access.2019.2939623 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8600701/08825825.pdf |
| OpenAlex ID | https://openalex.org/W2971357197 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Ateeq Ur Rehman](https://scholariq.org/researchers/ateeq-ur-rehman/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## 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/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

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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.