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Appropriate window width for the “clustering index method” in the tibialis anterior muscle
Author(s) -
Sonoo Masahiro,
Uesugi Haruo,
Ogawa Go,
Hokkoku Keiichi,
Kanbayashi Takamichi,
Higashihara Mana,
Stålberg Stefan,
Stålberg Erik
Publication year - 2021
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.27082
Subject(s) - motor unit , window (computing) , electromyography , tibialis anterior muscle , medicine , physical medicine and rehabilitation , anatomy , skeletal muscle , computer science , operating system
We previously reported a new quantitative analysis of single‐channel surface electromyography (EMG), the “clustering index method” (CI method), in the tibialis anterior muscle, which achieved sufficiently good sensitivity to detect neurogenic or myogenic abnormalities. The window width is a fundamental parameter of the CI method, and was arbitrarily set at 15 ms in that study. In this study, we searched for the most appropriate window width using expanded patient data. The data from our previous study were reanalyzed, and new patients were enrolled. Window width in the CI method was changed from 5 to 27.5 ms with a step of 2.5 ms. For each window width, Z‐score values of individual subjects were calculated and the diagnostic yield was investigated. We enrolled 67 controls, 29 subjects with neurogenic disorders, and 39 with myogenic disorders. When the window width was set at 22.5 ms, the highest sensitivity was achieved both for neurogenic (97%) and myogenic (72%) disorders, with a specificity of 97%. Seven of 10 patients with inclusion body myositis were also abnormal. Reliable results were obtained by collecting 15 epochs per subject. There are two conflicting effects that appear to be best balanced at a window width of 22.5 ms: a wider width decreases the chance that a motor unit potential (MUP) is divided into two adjacent windows, and a narrower width reduces the possibility that an MUP firing at a low‐frequency is counted twice by the differential sequences. CI is promising as a non‐invasive method to diagnose neuromuscular disorders.