Motor unit action potential duration, I: variability of manual and automatic measurements
Ver/
Fecha
2007Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión aceptada / Onetsi den bertsioa
Impacto
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nodoi-noplumx
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Resumen
To analyze the variability in manual measurements of
motor unit action potential (MUAP) duration and to evaluate the
effectiveness of well-known algorithms for automatic measurement.
Two electromyographists carried out three independent duration
measurements of a set of 240 MUAPs. The intraexaminer and
interexaminer variabilities were analyzed by means of the Gage
Reproducibility and Repeat ...
[++]
To analyze the variability in manual measurements of
motor unit action potential (MUAP) duration and to evaluate the
effectiveness of well-known algorithms for automatic measurement.
Two electromyographists carried out three independent duration
measurements of a set of 240 MUAPs. The intraexaminer and
interexaminer variabilities were analyzed by means of the Gage
Reproducibility and Repeatability method. The mean of the three
closest manually marked positions was considered the gold standard
of the duration markers positions (GSP). The results of four wellknown
automatic methods for estimating MUAP duration were
compared with the GSP. Manual measurements of duration showed
a lot of variability, with the combined intraoperator and interoperator
variability greater than 30%. The greatest difference between
manual positions was 11.2 ms. The mean differences between the
GSP and those obtained with the four automatic methods ranged
between 0.6 and 8.5 ms. Both manual and automatic measurements
of MUAP duration show a high degree of variability. More precise
methods are needed to improve the accuracy and reliability of the
estimates of this parameter. [--]
Materias
Motor unit action potential,
Duration,
Quantitative electromyography,
Reproducibility
Editor
Lippincott, Williams & Wilkins
Publicado en
Journal of Clinical Neurophysiology, 24 (1):52-58, February 2007
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica y Electrónica /
Universidad Pública de Navarra. Departamento de Estadística e Investigación Operativa /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa eta Elektronikoa Saila /
Nafarroako Unibertsitate Publikoa. Estatistika eta Ikerketa Operatiboa Saila
Entidades Financiadoras
This work was funded by the Instituto de Salud Carlos
III (Project PIO21510) and by the Ministerio de Ciencia y Tecnología (Project BFM 2001-1667-03-01).