Reliability of sEMG data of back muscles during static submaximal loading situations − Values and pitfalls

Alterations of trunk muscle activity can be objectified using surface electromyography (sEMG). But for diagnostic purposes reliable reference values are needed. Therefore, the present study evaluated sEMG measurements of representative back muscles concerning their reliability. For this purpose, 49 healthy individuals (24 women) were subjected to static loads with defined portions of their upper body weight by applying whole-body tilts up to 90° in upright posture. Reliability analyses were carried out for amplitude values and normalized values according 90° tilt angle. Reliability measures included intraclass correlation coefficient (ICC), standard error of measurement (SEm), standard error of the mean (SEM), and coefficient of variation of method errors (CVME). ICC values for the amplitude values were > 0.79 for M. multifidus (MF) and M. longissimus (LO). For the normalized values, distinctively lower ICC levels were generally detected (0.33-0.81). The values of SEm and SEM also increased with increasing load, while CVME levels of the amplitude values maintained similar levels. For defined static extension loads, good to excellent reliability can be demonstrated for back muscles. The established normative values for SEm, SEM and CVME parameters may be used for diagnostic purposes during defined submaximal load situations. This does not apply to normalized data.

Authors

Institutions

Publication Details

Journal
Journal of Electromyography and Kinesiology
Published
2024-11-04
DOI
https://doi.org/10.1016/j.jelekin.2024.102947
Citations
2
Primary Topic
Musculoskeletal pain and rehabilitation
Type
article
Field-Weighted Citation Impact
0.90
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliability of sEMG data of back muscles during static submaximal loading situations − Values and pitfalls

Christoph Anders, Max Herzberg, Lena Mader
2 citations
Journal of Electromyography and Kinesiology
Musculoskeletal pain and rehabilitation
0.90
article

Reliability of sEMG data of back muscles during static submaximal loading situations − Values and pitfalls

Christoph Anders, Max Herzberg, Lena Mader
article en
2 citations

Abstract

Alterations of trunk muscle activity can be objectified using surface electromyography (sEMG). But for diagnostic purposes reliable reference values are needed. Therefore, the present study evaluated sEMG measurements of representative back muscles concerning their reliability. For this purpose, 49 healthy individuals (24 women) were subjected to static loads with defined portions of their upper body weight by applying whole-body tilts up to 90° in upright posture. Reliability analyses were carried out for amplitude values and normalized values according 90° tilt angle. Reliability measures included intraclass correlation coefficient (ICC), standard error of measurement (SEm), standard error of the mean (SEM), and coefficient of variation of method errors (CVME). ICC values for the amplitude values were > 0.79 for M. multifidus (MF) and M. longissimus (LO). For the normalized values, distinctively lower ICC levels were generally detected (0.33-0.81). The values of SEm and SEM also increased with increasing load, while CVME levels of the amplitude values maintained similar levels. For defined static extension loads, good to excellent reliability can be demonstrated for back muscles. The established normative values for SEm, SEM and CVME parameters may be used for diagnostic purposes during defined submaximal load situations. This does not apply to normalized data.

Journal of Electromyography and KinesiologyVol. 79
Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 23%
Musculoskeletal pain and rehabilitation
0.90
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reliability of sEMG data of back muscles during static submaximal loading situations − Values and pitfalls — Christoph Anders, Max Herzberg, et al. · Journal of Electromyography and Kinesiology (2024) | TGRS Research Map | TGRS