paper-with-me

홈 › Papers

Low-cost brain computer interface for everyday use

2021-09-29 · Experimental Brain Research 2021 9 · Ildar Rakhmatulin

With the growth in electroencephalography (EEG) based applications the demand for affordable consumer solutions is increasing. Here we describe a compact, low-cost EEG device suitable for daily use. The data are transferred from the device to a personal server using the TCP-IP protocol, allowing for wireless operation and a decent range of motion for the user. The device is compact, having a circular shape with a radius of only 25 mm, which would allow for comfortable daily use during both daytime and nighttime. Our solution is also very cost effective, approximately $350 for 24 electrodes. The built-in noise suppression capability improves the accuracy of recordings with a peak input noise below 0.35 μV. Here, we provide the results of the tests for the developed device. On our GitHub page, we provide detailed specification of the steps involved in building this EEG device which should be helpful to readers designing similar devices for their needs https://github.com/Ildaron/ironbci.

📄 PDF Abstract BibTeX

Code (1)

Ildaron/ironbci

Tasks

Brain Computer InterfaceEEGElectroencephalogram (EEG)

Similar Papers 제목 키워드 기반

Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface

2019-11-11

Brain computer interface (BCI) has been popular as a key approach to monitor our brains recent year. Mental states monitoring is one of the most important BCI applications and becomes increasingly accessible. However, th…

Brain Computer InterfaceEEGEeg DecodingElectroencephalogram (EEG)+1

Wavelet algorithm for the identification of P300 ERP component

2016-07-26

Brain-computer interfaces have many algorithms based on the P300 component of ERP. Modern industry has started to produce consumer grade EEG equipment which is handy and not too expensive. This gives us an opportunity to…

EEGElectroencephalogram (EEG)ERPTime Series+1

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

2023-11-02 · Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka 외

We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals. Through…

EEG

A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection

2022-06-01 · IEEE Transactions on Human-Machine Systems 2022 6 · Siqi Cai, Peiwen Li, Enze Su, Qi Liu 외

Humans have the ability to focus on one of the sound sources in a noisy scene, which is critical for everyday communication. Auditory attention detection (AAD) seeks to detect selective attention from one’s brain signals…

Brain Computer InterfaceData VisualizationEEGEEG Signal Classification+1

Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface

2024-09-26 · Alexandra Bernadotte, Victor Buchstaber

This paper provides a brief introduction of the mathematical theory behind the time series unfolding method. The algorithms presented serve as a valuable mathematical and analytical tool for analyzing data collected from…

Brain Computer InterfaceTime Series