Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Mental Health Outcomes of Foster and Adopted Individuals with Adverse Childhood Experiences: A Validation of Known Risks Using EHR Data.

medRxiv : the preprint server for health sciences·2026
Same author

Before Birth, Beyond Childhood: Understanding the Influence of Prenatal Substance Exposure on Psychiatric Diagnoses.

medRxiv : the preprint server for health sciences·2026
Same author

Shared neural geometries for bilingual semantic representations in human hippocampal neurons.

Cell·2026
Same author

Human neuronal firing varies with the frequency of local field potential oscillations.

PLoS biology·2026
Same author

Neural basis of successful DBS for OCD after failed capsulotomy.

medRxiv : the preprint server for health sciences·2026
Same author

A modular, high-bandwidth, bidirectional implantable device for neural interrogation.

Journal of neural engineering·2026
Same journal

Pathology-Informed Augmentation Improves Cross-Cohort IMU-to-vGRF Estimation Between Healthy Adults and Adults With Osteoarthritis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Effects of task-driven head orientations on gait and balance during walking in virtual reality.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Wearable sensor-based Mild Cognitive Impairment Identification: A Multi-Domain Gait Analysis Approach with Association Rule Mining.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Semi-implantable Micro-cooler for Dorsal Root Ganglion Enables Targeted, Sustained, and Cumulative Pain Relief.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Auditory Cue Integration for a Power-Assisted Gait Training System Based on Neurodevelopmental Treatment Principles.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Quantifying the dynamics that link leg tendon vibration to induced periodic postural oscillations in young subjects Differential effects of light touch on the induced sway.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
See all related articles

Related Experiment Video

Updated: Aug 28, 2025

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
08:25

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

10.8K

Periodic Artifact Removal With Applications to Deep Brain Stimulation.

Paula Chen, Taewoo Kim, Evan Dastin-van Rijn

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |September 19, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A new algorithm effectively removes deep brain stimulation (DBS) artifacts from neural signals, even with missing data. This enables real-time analysis for adaptive DBS systems and biomarker discovery in neurological disorders.

    More Related Videos

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
    06:32

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

    Published on: July 14, 2023

    1.4K
    A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
    08:23

    A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

    Published on: November 13, 2016

    11.3K

    Related Experiment Videos

    Last Updated: Aug 28, 2025

    Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
    08:25

    Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

    Published on: May 19, 2016

    10.8K
    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
    06:32

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

    Published on: July 14, 2023

    1.4K
    A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
    08:23

    A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

    Published on: November 13, 2016

    11.3K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Deep brain stimulation (DBS) is effective for neurological disorders like Parkinson's disease.
    • Adaptive DBS requires analyzing neural signals during stimulation to identify biomarkers.
    • High-amplitude stimulation artifacts obscure neural signals, hindering analysis.

    Purpose of the Study:

    • To develop a novel algorithm for removing DBS stimulation artifacts.
    • To enable real-time analysis of neural signals for adaptive DBS systems.
    • To facilitate biomarker discovery by improving signal quality.

    Main Methods:

    • A novel periodic artifact removal algorithm was developed.
    • The algorithm handles missing data and high stimulation frequencies.
    • Numerical examples were used to validate the algorithm's performance.

    Main Results:

    • The algorithm accurately removes DBS stimulation artifacts.
    • It functions effectively even with missing data.
    • It can handle stimulation frequencies exceeding the Nyquist frequency.

    Conclusions:

    • The proposed algorithm can be implemented in embedded closed-loop DBS therapies.
    • It aids in real-time artifact removal for biomarker discovery.
    • This facilitates a deeper understanding of DBS mechanisms and optimization.