Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Control Systems: Applications

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...

PI Controller: Design

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Designing and application of a new medical instrument sterilization system using reactive oxygen species.

The Review of scientific instruments·2021

Same author

P300-Based Asynchronous Brain Computer Interface for Environmental Control System.

IEEE journal of biomedical and health informatics·2017

Same author

The Use of Stepper Motor-Controlled Proportional Valve for Fio<sub>2</sub> Calculation in the Ventilator and its Control with Fuzzy Logic.

Journal of medical systems·2016

Same author

Design and Construction of a Microcontroller-Based Ventilator Synchronized with Pulse Oximeter.

Journal of medical systems·2016

Same author

Region based Brain Computer Interface for a home control application.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2016

Same author

Segmentation of tumor and edema along with healthy tissues of brain using wavelets and neural networks.

IEEE journal of biomedical and health informatics·2014

Search research articles

Related Experiment Video

Updated: Mar 30, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

Implementation of an Embedded Web Server Application for Wireless Control of Brain Computer Interface Based Home

Eda Akman Aydın¹, Ömer Faruk Bay², İnan Güler³

¹Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500, Teknikokullar, Ankara, Turkey. edaakman@gazi.edu.tr.

Journal of Medical Systems

|November 9, 2015

Summary

This summary is machine-generated.

This study introduces an internet-based Brain Computer Interface (BCI) system with a web server for enhanced mobility and home control. The system successfully enables wireless control of appliances via BCI, improving quality of life for individuals with neuromuscular diseases.

Keywords:

Brain-computer interface Environmental control P300 potentials Web server Wireless control

More Related Videos

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Related Experiment Videos

Last Updated: Mar 30, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning

Published on: January 19, 2022

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Implantation and Control of Wireless, Battery-free Systems for Peripheral Nerve Interfacing

Published on: October 20, 2021

Area of Science:

Biomedical Engineering
Rehabilitation Technology
Human-Computer Interaction

Background:

Brain Computer Interface (BCI) systems offer potential for individuals with neuromuscular diseases to control their environment.
Enhanced mobility and independence are crucial for improving the quality of life for users with neuromuscular conditions.
Existing BCI systems often lack robust remote control and mobility features for practical home integration.

Purpose of the Study:

To develop and implement an internet-based wireless communication system for BCI-based environmental control.
To enhance user mobility and independence through a low-cost, low-power embedded web server integrated with a BCI system.
To enable remote control of home environments for both BCI users and caregivers.

Main Methods:

Designed and implemented an embedded, low-cost, low-power web server for internet-based wireless control.
Integrated the web server with a BCI system utilizing P300 potentials and the Region Based Paradigm (RBP) stimulus interface.
Evaluated the system's performance using data from 8 non-disabled subjects for environmental control.

Main Results:

The developed embedded web server successfully facilitated internet-based wireless control of electrical home appliances through BCIs.
The system demonstrated the feasibility of remote environmental control via both BCI and web interfaces.
Experimental results confirmed the system's capability to enable successful BCI-driven appliance control.

Conclusions:

The proposed internet-based BCI system with an embedded web server enhances user mobility and independence.
This technology provides a practical solution for remote environmental control, benefiting individuals with neuromuscular diseases and their caregivers.
The system offers a low-cost, user-friendly approach to improving the quality of life through advanced BCI applications.