2008
DOI: 10.1016/j.jelekin.2007.02.014
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Assessment of repeatability of surface electromyography signals by singular value decomposition

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(1 citation statement)
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“…To this end, assessment of reliability of the variables is a pre-condition to demonstrate the potential clinical usefulness, particularly for long-term and follow-up studies. Several studies on the reliability of the SEMG variables estimated from biceps brachii muscle (Rainoldi et al, 1999;Ollivier et al, 2005;Soylu, 2008), quadriceps muscles (Finucane et al, 1998;Rainoldi et al, 2001;Callaghan et al, 2009), vastus muscles (Kollmitzer et al, 1999;Burden et al, 2003;Mathur et al, 2005), thoracic and lumbar muscles (Coorevits et al, 2008), pelvic floor muscles (Auchincloss and McLean, 2009) and other muscles (Nordander et al, 2004;Granata et al, 2005;Peolsson et al, 2007;Bolgla and Uhl, 2007;Paul et al, 2008) have been published for the last 20 years. In most of the above studies, the representative traditional SEMG variables, ARV, RMS, MDF and MNF were investigated in the point of reliability, but only a few (Gabriel, 2000) have explored the reliability of the interference pattern analysis variables, such as spike and turn variables.…”
Section: Introductionmentioning
confidence: 99%
“…To this end, assessment of reliability of the variables is a pre-condition to demonstrate the potential clinical usefulness, particularly for long-term and follow-up studies. Several studies on the reliability of the SEMG variables estimated from biceps brachii muscle (Rainoldi et al, 1999;Ollivier et al, 2005;Soylu, 2008), quadriceps muscles (Finucane et al, 1998;Rainoldi et al, 2001;Callaghan et al, 2009), vastus muscles (Kollmitzer et al, 1999;Burden et al, 2003;Mathur et al, 2005), thoracic and lumbar muscles (Coorevits et al, 2008), pelvic floor muscles (Auchincloss and McLean, 2009) and other muscles (Nordander et al, 2004;Granata et al, 2005;Peolsson et al, 2007;Bolgla and Uhl, 2007;Paul et al, 2008) have been published for the last 20 years. In most of the above studies, the representative traditional SEMG variables, ARV, RMS, MDF and MNF were investigated in the point of reliability, but only a few (Gabriel, 2000) have explored the reliability of the interference pattern analysis variables, such as spike and turn variables.…”
Section: Introductionmentioning
confidence: 99%