# Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/support-vector-machines-to-detect-physiological-patterns-for-eeg-and-emg-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lucia Rita Quitadamo,Francesco Cavrini,Laura Sbernini,Francesco Riillo,Luigi Bianchi,S Seri,Giovanni Saggio |
| Citations | 137 |
| DOI | 10.1088/1741-2552/14/1/011001 |
| Fields | Computer Science,Engineering,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://publications.aston.ac.uk/id/eprint/29460/1/Physiological_patterns_for_EEG_and_EMG_based_human_computer_interaction.pdf |
| OpenAlex ID | https://openalex.org/W2556533447 |
| PMID | 28068295 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Lucia Rita Quitadamo](https://scholariq.org/researchers/lucia-rita-quitadamo/)
- [Laura Sbernini](https://scholariq.org/researchers/laura-sbernini/)
- [Giovanni Saggio](https://scholariq.org/researchers/giovanni-saggio/)

## Paper journal

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

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

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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.