ArticleStereotactic and functional neurosurgery2022
Artifact Characterization and a Multipurpose Template-Based Offline Removal Solution for a Sensing-Enabled Deep Brain Stimulation Device.
Article in Stereotactic and functional neurosurgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 52 citations in OpenAlex.
- Adaptive deep brain stimulation for dynamic gait control in Parkinson's disease: a randomized feasibility trial.Nature medicine · 2026Trial
- Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson's disease: a blinded randomized feasibility trial.Nature medicine · 2024Trial
- Cortico-basal oscillations index naturalistic movements during deep brain stimulation.Brain : a journal of neurology · 2026Article
- Device-embedded accelerometry complements neural signals for tracking parkinsonian motor states.bioRxiv : the preprint server for biology · 2026Article
- Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing Pipeline.Brain topography · 2026Article
- DBSsync: combining intracranial and multimodal data to investigate new biomarkers in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Cortico-pallidal beta dynamics underlie impaired turning in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026Review
- Multitarget brain implants enable generalized decoding of Parkinson's disease symptoms from chronic home recordings.Research square · 2026Article
- Real-Time ECG Artifact Removal for Adaptive Deep Brain Stimulation: A Comparative Study.Sensors (Basel, Switzerland) · 2026Article
- An algorithmic procedure for measuring deep brain stimulation-induced capsular activation using motor evoked potentials.Journal of neural engineering · 2025Article
- Medtronic Percept™ recorded LFP pre-processing to remove noise and cardiac signals from neural recordings.Journal of neural engineering · 2025Review
- Advanced Brain-on-a-Chip for Wetware Computing: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- An algorithmic procedure for measuring deep brain stimulation-induced capsular activation using motor evoked potentials.medRxiv : the preprint server for health sciences · 2025Article
- Adaptive deep brain stimulation timed to gait phase improves walking in Parkinson's disease.medRxiv : the preprint server for health sciences · 2025Article
- Long-term consistency of aperiodic and periodic physiomarkers in subthalamic local field potentials in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Modeling and optimizing deep brain stimulation to enhance gait in Parkinson's disease: personalized treatment with neurophysiological insights.NPJ Parkinson's disease · 2025Article
- DBScope as a versatile computational toolbox for the visualization and analysis of sensing data from deep brain stimulation.NPJ Parkinson's disease · 2024Article
- Motor network gamma oscillations in chronic home recordings predict dyskinesia in Parkinson's disease.Brain : a journal of neurology · 2024Article
- Multi-night cortico-basal recordings reveal mechanisms of NREM slow-wave suppression and spontaneous awakenings in Parkinson's disease.Nature communications · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe Medtronic "Percept" is the first FDA-approved deep brain stimulation (DBS) device with sensing capabilities during active stimulation. Its real-world signal-recording properties have yet to be fully described.
objectiveThis study details three sources of artifact (and potential mitigations) in local field potential (LFP) signals collected by the Percept and assesses the potential impact of artifact on the future development of adaptive DBS (aDBS) using this device.
methodsLFP signals were collected from 7 subjects in both experimental and clinical settings. The presence of artifacts and their effect on the spectral content of neural signals were evaluated in both the stimulation ON and OFF states using three distinct offline artifact removal techniques.
resultsTemplate subtraction successfully removed multiple sources of artifact, including (1) electrocardiogram (ECG), (2) nonphysiologic polyphasic artifacts, and (3) ramping-related artifacts seen when changing stimulation amplitudes. ECG removal from stimulation ON (at 0 mA) signals resulted in spectral shapes similar to OFF stimulation spectra (averaged difference in normalized power in theta, alpha, and beta bands ≤3.5%). ECG removal using singular value decomposition was similarly successful, though required subjective researcher input. QRS interpolation produced similar recovery of beta-band signal but resulted in residual low-frequency artifact.
conclusionsArtifacts present when stimulation is enabled notably affected the spectral properties of sensed signals using the Percept. Multiple discrete artifacts could be successfully removed offline using an automated template subtraction method. The presence of unrejected artifact likely influences online power estimates, with the potential to affect aDBS algorithm performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.