Evidence map›Paper›PMID 36937564›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2023

Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation.

Ahmed Ramadan, Seth D König, Mingming Zhang, Erika K Ross, Alexander Herman, Theoden I Netoff, David P Darrow

Open access · goldFull text read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ahmed RamadanDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.
Seth D KönigDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, United States.
Mingming ZhangClinical and Applied Research, Abbott Neuromodulation, Plano, TX, United States.
Erika K RossClinical and Applied Research, Abbott Neuromodulation, Plano, TX, United States.
Alexander HermanDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States.
Theoden I NetoffDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.
David P DarrowDepartment of Neurosurgery, University of Minnesota, Minneapolis, MN, United States.
University of Minnesota · USAbbott (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This article presents a method-including hardware configuration, sampling rate, filtering settings, and other data analysis techniques-to measure evoked compound action potentials (ECAPs) during spinal cord stimulation (SCS) in humans with externalized percutaneous electrodes. The goal is to provide a robust and standardized protocol for measuring ECAPs on the non-stimulation contacts and to demonstrate how measured signals depend on hardware and processing decisions. Methods: Two participants were implanted with percutaneous leads for the treatment of chronic pain with externalized leads during a trial period for stimulation and recording. The leads were connected to a Neuralynx ATLAS system allowing us to simultaneously stimulate and record through selected electrodes. We examined different hardware settings, such as online filters and sampling rate, as well as processing techniques, such as stimulation artifact removal and offline filters, and measured the effects on the ECAPs metrics: the first negative peak (N1) time and peak-valley amplitude. Results: For accurate measurements of ECAPs, the hardware sampling rate should be least at 8 kHz and should use a high pass filter with a low cutoff frequency, such as 0.1 Hz, to eliminate baseline drift and saturation (railing). Stimulation artifact removal can use a double exponential or a second-order polynomial. The polynomial fit is 6.4 times faster on average in computation time than the double exponential, while the resulting ECAPs' N1 time and peak-valley amplitude are similar between the two. If the baseline raw measurement drifts with stimulation, a median filter with a 100-ms window or a high pass filter with an 80-Hz cutoff frequency preserves the ECAPs. Conclusions: This work is the first comprehensive analysis of hardware and processing variations on the observed ECAPs from SCS leads. It sets recommendations to properly record and process ECAPs from the non-stimulation contacts on the implantable leads.

Indexed as

epidural spinal cord stimulationevoked compound potentialneural signal processingneuromodulationstimulation artifact removal

Identifiers

PMID36937564
PMCPMC10020336
OpenAlexW4323044953

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
identifiers read1
Read underepoch 390

Registered trials

None linked

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.