Brain-Computer Interface-Progress and Prospects

Yuchen Wu,T Zhu,M Anpo,A Sharifi

doi:10.1051/e3sconf/202127104027

Abstract

Since the advent of Brain-Computer Interface (BCI), this technology has been significantly contributed modern society in many aspects such as medical and informational science. With further approaches in this interdisciplinary technology and based on current research, BCI is considered to be the potential solution to medical or surgical difficulties such as restoration of neurological function or motor abilities. In this article, the current state of BCI development in multiple platforms was briefly introduced. By organizing and analyzing laboratory data from the state-of-the-art BCI research, this article also illustrated the breakthrough on different BCI systems based on the lab data. The multitude of applications and contributions in medical science and engineering of both invasive and non-invasive systems were also discussed with the help of clinical data. Eventually, the potential and future attempts will be projected and inferred based on the present state of such connection in this article. After comparing and contrasting two types of interfaces and analysis, a conclusion could be made that invasive systems will eventually surpass noninvasive methods in more applications areas due to its preponderance of precise control.

Highlights

A brain–computer interface (BCI), called a neural control interface (NCI), mind–machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI), is usually referring to a direct communication pathway which receives and conducts bio signals to proceed artificial output [1]
Depending on the method of connections, BCI platforms can be generally divided into two systems with distinct pros and cons [2]: Invasive Systems: Data receiving and processing devices are implanted directly into the grey matter of brain quality and precision of signals collected through this method are usually higher
Due to the fact that the active potentials and local field potentials collected through invasive systems are generally better than EEG signals, many of the developing applications on prosthetics such as artificial or bionic limbs are based on invasive BCI systems that interfacing the neuromuscular system through nerve transfers and muscle interfacing [20]

Summary

Introduction

A brain–computer interface (BCI), called a neural control interface (NCI), mind–machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI), is usually referring to a direct communication pathway which receives and conducts bio signals to proceed artificial output [1]. In this way, BCI connects biological tissues directly to an external device to restore original function or achieve enhancement. The rapid advancement of brain-computer interfaces gives us an insight of potential solutions in technical difficulties in many aspects Through this article, this interdisciplinary research could be more accessible to the public and driven more attention in discussion and research

Current Development of BCI Platform

Forecast of BCIs

Findings

Conclusion