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

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 i...

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Autores principales: Ramadan, Ahmed, König, Seth D., Zhang, Mingming, Ross, Erika K., Herman, Alexander, Netoff, Theoden I., Darrow, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020336/
https://www.ncbi.nlm.nih.gov/pubmed/36937564
http://dx.doi.org/10.3389/fpain.2023.1072786
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author Ramadan, Ahmed
König, Seth D.
Zhang, Mingming
Ross, Erika K.
Herman, Alexander
Netoff, Theoden I.
Darrow, David P.
author_facet Ramadan, Ahmed
König, Seth D.
Zhang, Mingming
Ross, Erika K.
Herman, Alexander
Netoff, Theoden I.
Darrow, David P.
author_sort Ramadan, Ahmed
collection PubMed
description 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.
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spelling pubmed-100203362023-03-18 Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation Ramadan, Ahmed König, Seth D. Zhang, Mingming Ross, Erika K. Herman, Alexander Netoff, Theoden I. Darrow, David P. Front Pain Res (Lausanne) Pain Research 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. Frontiers Media S.A. 2023-03-03 /pmc/articles/PMC10020336/ /pubmed/36937564 http://dx.doi.org/10.3389/fpain.2023.1072786 Text en © 2023 Ramadan, König, Zhang, Ross, Herman, Netoff and Darrow. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pain Research
Ramadan, Ahmed
König, Seth D.
Zhang, Mingming
Ross, Erika K.
Herman, Alexander
Netoff, Theoden I.
Darrow, David P.
Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title_full Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title_fullStr Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title_full_unstemmed Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title_short Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
title_sort methods and system for recording human physiological signals from implantable leads during spinal cord stimulation
topic Pain Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020336/
https://www.ncbi.nlm.nih.gov/pubmed/36937564
http://dx.doi.org/10.3389/fpain.2023.1072786
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