# Comparison About EEG Signals Processing in BCI Applications

arXiv: https://arxiv.org/abs/1905.01465 · HTML: https://mlsanity.com/paper/1905.01465/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 May 2019.

## Built on by (most cited first, 1 of 1)

- [ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens](https://mlsanity.com/paper/2102.08692/) (2021)

## Abstract (arXiv)

In the context of a Brain Computer Interface platform implemented for the arm rehabilitation of mildly impaired stroke patients, two methods of EEG signals processing are compared in terms of (i) their identification performance rate and (ii) their computational complexity with the overall goal to select the most efficient and feasible real-time procedure. An effective signal processing is, indeed, one of the most critical issue for such kind of technology which aims to establish a real-time communication between the subject's brain and a machine, i.e. a computer, a robotic arm or another device, that should implement his/her intention to move in place of his/her impaired arm.