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A Clinical Feasibility Study of Spinal Evoked Compound Action Potential Estimation Methods

Krishnan Chakravarthy, James J. FitzGerald, Andrew Will, Karen Trutnau, Robert M. Corey, David Dinsmoor, Leonid M. Litvak

2021Neuromodulation Technology at the Neural Interface28 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: |). MATERIALS AND METHODS: parameters following the fit. RESULTS: |) on the ECAP estimate was superior (p < 0.05) with the HP and AM schemes relative to the others. CONCLUSIONS: This work represents the first comprehensive assessment of spinal ECAP estimation schemes. Understanding the clinically relevant sensitivities of these schemes is increasingly important, particularly with closed-loop SCS systems using ECAP as a feedback control variable where misclassification of artifact as neural signal may lead to suboptimal therapy adjustments.

Topics & Concepts

Artifact (error)Compound muscle action potentialEvoked potentialSIGNAL (programming language)StimulationFilter (signal processing)Computer scienceSensitivity (control systems)Exponential functionSpinal cordBiomedical engineeringElectrophysiologyMathematicsMedicineArtificial intelligenceAudiologyInternal medicineElectronic engineeringMathematical analysisEngineeringProgramming languagePsychiatryComputer visionPain Management and TreatmentMusculoskeletal pain and rehabilitationTranscranial Magnetic Stimulation Studies
A Clinical Feasibility Study of Spinal Evoked Compound Action Potential Estimation Methods | Litcius