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

Search research articles

Related Experiment Video

Updated: Oct 22, 2025

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Characterizing the stimulation interference in electroencephalographic signals during brain-computer

Lazar I Jovanovic^1,2,3, Milos R Popovic^1,2,3, Cesar Marquez-Chin^1,2,3

¹Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.

Artificial Organs

|August 30, 2021

Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Neural signatures of indirect pathway activity during subthalamic stimulation in Parkinson's disease.

Nature communications·2024

Same author

Effectiveness of motor and prefrontal cortical areas for brain-controlled functional electrical stimulation neuromodulation.

Journal of neural engineering·2023

Same author

Synchrony-Division Neural Multiplexing: An Encoding Model.

Entropy (Basel, Switzerland)·2023

Same author

Decomposing Working Memory in Recurrent Major Depression: Impaired Encoding and Limited Maintenance Immune-to-Encoding Constraint.

Brain sciences·2023

Same author

Garments for functional electrical stimulation: Design and proofs of concept.

Journal of rehabilitation and assistive technologies engineering·2022

Same author

A Mass-Producible Washable Smart Garment with Embedded Textile EMG Electrodes for Control of Myoelectric Prostheses: A Pilot Study.

Sensors (Basel, Switzerland)·2022

Band-pass filters effectively reduce functional electrical stimulation (FES) interference in electroencephalography (EEG) signals during brain-computer interface (BCI)-controlled FES therapy. This improves signal quality for BCI-FEST rehabilitation, enhancing arm and hand function recovery.

Area of Science:

Neuroscience
Biomedical Engineering
Rehabilitation Technology

Background:

Brain-computer interface (BCI) and functional electrical stimulation (FES) integration offers a novel rehabilitation approach: BCI-controlled FES therapy (BCI-FEST).
BCI-FEST utilizes electroencephalography (EEG) to trigger FES, aiming to improve motor function post-injury.
FES can introduce interference into EEG signals, potentially compromising BCI-FEST efficacy.

Purpose of the Study:

To evaluate the effectiveness of band-pass filters in mitigating FES interference within EEG signals during BCI-FEST.
To quantify the improvement in signal-to-noise ratio (SNR) after applying band-pass filters.

Main Methods:

EEG data from eight participants undergoing BCI-FEST were analyzed.
FES signal interference was characterized by recording the FES signal separately.

Keywords:

brain computer interface electroencephalography functional electrical stimulation noise analysis

More Related Videos

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS

Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS

Published on: January 22, 2016

Related Experiment Videos

Last Updated: Oct 22, 2025

Assessment and Communication for People with Disorders of Consciousness

Assessment and Communication for People with Disorders of Consciousness

Published on: August 1, 2017

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Brain State-dependent Brain Stimulation with Real-time Electroencephalography-Triggered Transcranial Magnetic Stimulation

Published on: August 20, 2019

Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS

Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS

Published on: January 22, 2016

Band-pass filtering was applied to EEG data, and SNR was calculated before and after filtering for reaching and grasping movements.

Main Results:

Band-pass filtering significantly increased SNR values across all participants and movement types.
For reaching movements, mean SNR increased by 1.31 dB to 36.3 dB post-filtering.
For grasping movements, mean SNR increased by 2.82 dB to 40.16 dB post-filtering.

Conclusions:

Band-pass filters are effective in reducing FES interference during BCI-FEST, thereby enhancing EEG signal quality for BCI applications.
A general algorithm is proposed for estimating FES interference frequencies, aiding future BCI-FEST studies.