An adaptable model for simulating whole muscle surface electromyogram

A time based electromyogram (EMG) model has been developed. This model extends the work of Rosenfalck [1], Merletti [2] [3] and Reaz [4]. It incorporates multiple motor units, and randomness in the firing of action potentials. It also allows the user to configure the model based on muscle size and composition. The results of model simulation have been compared with experimental results based on various features such as root mean square (RMS), mean power frequency (MPF) and zero crossing (ZC) and with different loads and muscle sizes. The results indicate a close match of the model with the experimental results.