A comparison of a maximum exertion method and a model-based, sub-maximum exertion method for normalizing trunk EMG.

摘要: Abstract The problem with normalizing EMG data from patients painful symptoms (e.g., low back pain) is that such may be unwilling or unable to perform maximum exertions. Furthermore, the normalization a reference signal, obtained maximal sub-maximal task, tends mask differences might exist as result of pathology. Therefore, we presented novel method (GAIN method) for trunk overcomes both problems. GAIN does not require exertions (MVC) and preserve distinct features in muscle recruitment patterns various tasks. Ten healthy subjects performed isometric exertions, while 10 muscles were recorded later normalized using MVC methods. resulted smaller variation between when tasks executed at three relative force levels (10%, 20%, 30% MVC), absolute (50N, 100N, 145N). This outcome implies provides measure effort, GAIN-normalized gives an estimate force. way they recruit their execute tasks, MVC-normalized will tend suppress differences. appropriate choice depend on specific question experimenter attempting answer.