Automatic jitter measurement in needle-detected motor unit potential trains
In an active motor unit (MU), the time intervals between the firings of its muscle fibers vary across successive MU activations. This variability is called jitter and is increased in pathological processes that affect the neuromuscular junctions or terminal axonal segments of MUs. Traditionally, jit...
| Autores: | , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universidad Pública de Navarra |
| Repositorio: | Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
| OAI Identifier: | oai:academica-e.unavarra.es:2454/44662 |
| Acesso em linha: | https://hdl.handle.net/2454/44662 |
| Access Level: | acceso abierto |
| Palavra-chave: | Concentric needle electrode Jitter estimation Motor unit potential Neuromuscular disorders Neuromuscular transmission instability Single fiber potential |
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Automatic jitter measurement in needle-detected motor unit potential trainsMalanda Trigueros, ArmandoStashuk, Daniel W.Navallas Irujo, JavierRodríguez Falces, JavierRodríguez Carreño, IgnacioValle, CésarGarnés Camarena, ÓscarConcentric needle electrodeJitter estimationMotor unit potentialNeuromuscular disordersNeuromuscular transmission instabilitySingle fiber potentialIn an active motor unit (MU), the time intervals between the firings of its muscle fibers vary across successive MU activations. This variability is called jitter and is increased in pathological processes that affect the neuromuscular junctions or terminal axonal segments of MUs. Traditionally, jitter has been measured using single fiber electrodes (SFEs) and a difficult and subjective manual technique. SFEs are expensive and reused, implying a potential risk of patient infection; so, they are being gradually substituted by safer, disposable, concentric needle electrodes (CNEs). As CNEs are larger, voltage contributions from individual fibers of a MU are more difficult to detect, making jitter measurement more difficult. This paper presents an automatic method to estimate jitter from trains of motor unit potentials (MUPs), for both SFE and CNE records. For a MUP train, segments of MUPs generated by single muscle fibers (SF MUP segments) are found and jitter is measured between pairs of these segments. Segments whose estimated jitter values are not reliable, according to several SF MUP segment characteristics, are excluded. The method has been tested in several simulation studies that use mathematical models of muscle fiber potentials. The results are very satisfactory in terms of jitter estimation error (less than 10% in most of the cases studied) and mean number of valid jitter estimates obtained per simulated train (greater than 1.0 in many of the cases and less than 0.5 only in the most complicated). A preliminary study with real signals was also performed, using 19 MUP trains from 3 neuropathic patients. Jitter measurements obtained by the automatic method were compared with those extracted from a commercial system (Keypoint) and the edition and supervision of an expert electromyographer. From these measurements 63% were taken from equivalent interval pair sites within the time span of the MUP trains and, as such, were considered as compatible measurements. Differences in jitter of these compatible measurements were very low (mean value of 1.3 μs, mean of absolute differences of 2.97 μs, 25% and 75% percentile intervals of − 0.85 and 3.82 μs, respectively). Although new tests with larger number of real recordings are still required, the method seems promising for clinical practice.This work has been supported by the Spanish Ministry of Science, Education, and Universities, under the “Salvador de Madariaga” 2018 Program and by the Spanish Ministry of Education and Research, under the PID2019-109062RB-I00 project. Open Access funding provided by the Public University of Navarra.ElsevierIngeniería Eléctrica, Electrónica y de ComunicaciónIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio IngeniaritzarenUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/44662reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109062RB-I00© 2022 The Authors. This is an open access article under the CC BY licensehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/446622026-06-17T12:41:47Z |
| dc.title.none.fl_str_mv |
Automatic jitter measurement in needle-detected motor unit potential trains |
| title |
Automatic jitter measurement in needle-detected motor unit potential trains |
| spellingShingle |
Automatic jitter measurement in needle-detected motor unit potential trains Malanda Trigueros, Armando Concentric needle electrode Jitter estimation Motor unit potential Neuromuscular disorders Neuromuscular transmission instability Single fiber potential |
| title_short |
Automatic jitter measurement in needle-detected motor unit potential trains |
| title_full |
Automatic jitter measurement in needle-detected motor unit potential trains |
| title_fullStr |
Automatic jitter measurement in needle-detected motor unit potential trains |
| title_full_unstemmed |
Automatic jitter measurement in needle-detected motor unit potential trains |
| title_sort |
Automatic jitter measurement in needle-detected motor unit potential trains |
| dc.creator.none.fl_str_mv |
Malanda Trigueros, Armando Stashuk, Daniel W. Navallas Irujo, Javier Rodríguez Falces, Javier Rodríguez Carreño, Ignacio Valle, César Garnés Camarena, Óscar |
| author |
Malanda Trigueros, Armando |
| author_facet |
Malanda Trigueros, Armando Stashuk, Daniel W. Navallas Irujo, Javier Rodríguez Falces, Javier Rodríguez Carreño, Ignacio Valle, César Garnés Camarena, Óscar |
| author_role |
author |
| author2 |
Stashuk, Daniel W. Navallas Irujo, Javier Rodríguez Falces, Javier Rodríguez Carreño, Ignacio Valle, César Garnés Camarena, Óscar |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
Ingeniería Eléctrica, Electrónica y de Comunicación Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa |
| dc.subject.none.fl_str_mv |
Concentric needle electrode Jitter estimation Motor unit potential Neuromuscular disorders Neuromuscular transmission instability Single fiber potential |
| topic |
Concentric needle electrode Jitter estimation Motor unit potential Neuromuscular disorders Neuromuscular transmission instability Single fiber potential |
| description |
In an active motor unit (MU), the time intervals between the firings of its muscle fibers vary across successive MU activations. This variability is called jitter and is increased in pathological processes that affect the neuromuscular junctions or terminal axonal segments of MUs. Traditionally, jitter has been measured using single fiber electrodes (SFEs) and a difficult and subjective manual technique. SFEs are expensive and reused, implying a potential risk of patient infection; so, they are being gradually substituted by safer, disposable, concentric needle electrodes (CNEs). As CNEs are larger, voltage contributions from individual fibers of a MU are more difficult to detect, making jitter measurement more difficult. This paper presents an automatic method to estimate jitter from trains of motor unit potentials (MUPs), for both SFE and CNE records. For a MUP train, segments of MUPs generated by single muscle fibers (SF MUP segments) are found and jitter is measured between pairs of these segments. Segments whose estimated jitter values are not reliable, according to several SF MUP segment characteristics, are excluded. The method has been tested in several simulation studies that use mathematical models of muscle fiber potentials. The results are very satisfactory in terms of jitter estimation error (less than 10% in most of the cases studied) and mean number of valid jitter estimates obtained per simulated train (greater than 1.0 in many of the cases and less than 0.5 only in the most complicated). A preliminary study with real signals was also performed, using 19 MUP trains from 3 neuropathic patients. Jitter measurements obtained by the automatic method were compared with those extracted from a commercial system (Keypoint) and the edition and supervision of an expert electromyographer. From these measurements 63% were taken from equivalent interval pair sites within the time span of the MUP trains and, as such, were considered as compatible measurements. Differences in jitter of these compatible measurements were very low (mean value of 1.3 μs, mean of absolute differences of 2.97 μs, 25% and 75% percentile intervals of − 0.85 and 3.82 μs, respectively). Although new tests with larger number of real recordings are still required, the method seems promising for clinical practice. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2454/44662 |
| url |
https://hdl.handle.net/2454/44662 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109062RB-I00 |
| dc.rights.none.fl_str_mv |
© 2022 The Authors. This is an open access article under the CC BY license https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
© 2022 The Authors. This is an open access article under the CC BY license https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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Elsevier |
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Elsevier |
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Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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Academica-e. Repositorio Institucional de la Universidad Pública de Navarra |
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