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

Integration of Synaptic Events01:28

Integration of Synaptic Events

4.2K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
4.2K
Schwarzschild Radius and Event Horizon01:21

Schwarzschild Radius and Event Horizon

2.8K
No object with a finite mass can travel faster than the speed of light in a vacuum. This fact has an interesting consequence in the domain of extremely high gravitational fields.
The minimum speed required to launch a projectile from the surface of an object to which it is gravitationally bound so that it eventually escapes the object’s gravitational field is called the escape velocity. The escape velocity is independent of the mass of the object. Merging the idea of escape...
2.8K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

1.5K
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
1.5K
Adaptability of Cytoskeletal Filaments01:12

Adaptability of Cytoskeletal Filaments

6.1K
The cytoskeleton is a complex dynamic structure performing varied functions based on cellular requirements. The adaptability of the individual filaments in the cytoskeleton determines their ability to perform various functions within the cell. It can undergo rapid reorganization during processes like cell division or remain stable for several hours as in the interphase. The adaptability of these filaments depends on stringent regulatory mechanisms. The microfilament and microtubules of the...
6.1K
Introduction to Innate and Adaptive Immunity01:21

Introduction to Innate and Adaptive Immunity

10.0K
The human immune system is a complex defense mechanism that protects the body from harmful pathogens and foreign substances. It comprises two crucial components: innate and adaptive immunity.
Innate immunity is the body's natural, nonspecific defense system that acts quickly to protect against pathogens. It incorporates physical barriers like skin and mucous membranes and cellular elements such as phagocytes and natural killer cells. This part of our immune system provides an immediate,...
10.0K
¹H NMR of Labile Protons: Temporal Resolution01:10

¹H NMR of Labile Protons: Temporal Resolution

1.7K
Protons bonded to heteroatoms such as nitrogen and oxygen exhibit a range of chemical shift values. This is due to the varying degree of hydrogen bonding between the proton and the heteroatom in other molecules. The extent of hydrogen bonding affects the electron density around the proton, thereby giving different chemical shift values for the protons in the proton NMR spectrum.
The –OH proton in alcohols typically appears in the range of δ 2 to 5 ppm but can vary depending on the specific...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Drug-coated balloons (DCB) for symptomatic intracranial atherosclerotic stenosis: a systematic review and meta-analysis.

Cardiovascular diagnosis and therapy·2026
Same author

Sleep Stage Classification During CPAP Therapy from CPAP-Airflow and Wearable Fingertip Signals.

Sensors (Basel, Switzerland)·2026
Same author

External validation of a fingertip wearable device for obstructive sleep apnea diagnosis and split-night tracking of CPAP treatment response.

Sleep medicine·2026
Same author

Predicting sleep state from continuous positive airway pressure flow in patients with obstructive sleep apnea.

Sleep medicine·2026
Same author

Characterizing circadian rest-activity rhythm patterns across Alzheimer's disease continuum in Down syndrome.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Risk of post-radiation hypothyroidism among different head and neck cancer subsites and radiation therapy techniques.

Journal of the Formosan Medical Association = Taiwan yi zhi·2026

Related Experiment Video

Updated: Feb 14, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

23.2K

Efficient artifact removal for adaptive deep brain stimulation and a temporal event localization analysis.

Tzu-Chi Liu1, Po-Lin Chen2, Yi-Chieh Chen3

  • 1Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Mathematics, National Taiwan University, Taipei, Taiwan.

Journal of Neuroscience Methods
|February 12, 2026
PubMed
Summary

A new algorithm, SMARTA+, effectively removes stimulation artifacts in adaptive deep brain stimulation (aDBS) and improves computational efficiency. This advancement enables more reliable real-time neuromodulation therapies for neurological disorders.

Keywords:
Artifact removalDeep brain stimulationOptimal shrinkageSMARTA+Stimulus artifactTemporal event localization analysisTransient DC artifact

More Related Videos

Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.6K
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

1.9K

Related Experiment Videos

Last Updated: Feb 14, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

23.2K
Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

14.6K
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

1.9K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Adaptive deep brain stimulation (aDBS) offers personalized neuromodulation but faces challenges with stimulation-induced signal contamination.
  • Current artifact removal methods present trade-offs between effectiveness and flexibility, limiting real-time applications.

Purpose of the Study:

  • To develop a computationally efficient algorithm, SMARTA+, for robust artifact removal in adaptive deep brain stimulation (aDBS).
  • To address limitations of existing methods, including handling transient direct current (DC) artifacts and improving real-time processing capabilities.

Main Methods:

  • Developed SMARTA+, an enhanced version of the Shrinkage and Manifold-based Artifact Removal using Template Adaptation (SMARTA) algorithm.
  • Evaluated SMARTA+ using simulated and real-world aDBS data from Parkinson's disease patients, assessing artifact suppression and computational performance.

Main Results:

  • SMARTA+ effectively suppressed both stimulus and DC transient artifacts while preserving the spectral and temporal characteristics of local field potentials (LFPs).
  • The algorithm demonstrated robustness across various stimulation protocols and outperformed existing methods like template subtraction and pulse blanking.
  • Achieved performance comparable to or better than SMARTA with significantly reduced computation time.

Conclusions:

  • SMARTA+ enhances artifact suppression and computational efficiency, making it suitable for real-time, closed-loop aDBS systems.
  • This advancement holds potential for improving neuromodulation therapies across a range of neurological disorders.