Reliability of Surface EMG Decomposition Across Accuracy Thresholds During Isometric and Isokinetic Contractions

Authors: Andru N. Botello, Scott K. Crawford, Mandy E. Parra, Smith, Calvin D, Sierra M. Washington, Joshua C. Carr, Tomas J. Chapman-Lopez, Micheal J. Luera
Cited by: 0

Abstract

Accurate decomposition of surface electromyographic (EMG) signals is critical for understanding neuromuscular function during dynamic contractions. However, the reliability of decomposition-based motor unit (MU) metrics across accuracy thresholds and contraction intensities remains unclear. PURPOSE: This study evaluated the test–retest reliability of decomposition-derived MU firing behaviors during isometric and isokinetic contractions. METHODS: Eighteen resistance-trained males (21.1 ± 1.3 yrs) completed four separate sessions of randomized isometric and isokinetic biceps brachii contractions (30% - 100% MVC) on a Biodex System 4. Surface EMG was recorded with a Delsys Trigno Galileo sensor (2 kHz) and decomposed using Precision Decomposition III (PDIII). Identified MUs were filtered using DSDC thresholds (≥0%, 80%, 90%, 91%, 92%). The MU count and the slope and y-intercept of the mean firing rate (MFR)–MU action potential (MUAP) relationships were evaluated using two-way random-effects ICCs (absolute agreement) and 95% CIs for test–retest reliability. RESULTS: Detailed ICCs (95% CIs) are provided in Table 1. Reliability varied across thresholds and contraction types. During isokinetic contractions, slope ICCs were highest at 80% (0.74 [0.69–0.98]) across intensities, while intercepts were moderate (0.55–0.81 [0.52–0.98]). MU count reliability declined at >90% (0.28–0.57 [0.19–0.98]). Isometric slopes and intercept reliabilities were moderate at 80% (slope = 0.69 ± 0.27; intercept = 0.66 ± 0.16). Stricter thresholds (≥91–92%) consistently reduced reliability and MU yield. CONCLUSION: The PDIII-based decomposition yields moderate to good reliability for MFR–MUAP slopes and intercepts across contraction types. An 80% DSDC threshold optimizes reproducibility and MU yield, while stricter criteria diminish MU yield without improving accuracy.

Fields of Study & Subjects

Muscle activation and electromyography studies Peripheral Nerve Disorders Sports Performance and Training

Publication details

Journal / source
TopSCHOLAR (Western Kentucky University)
Publication date
21 February 2026
Language
EN