Time series modeling of neuromuscular system

✍ Scribed by Gyan C. Agarwal; Shirin M. Goodarzi; William D. O'Neill; Gerald L. Gottlieb

• Book ID: 104738712
• Publisher: Springer-Verlag
• Year: 1984
• Tongue: English
• Weight: 711 KB
• Volume: 51
• Category: Article
• ISSN: 0340-1200
• DOI: 10.1007/bf00357923

✦ Synopsis

The dynamic response of the human ankle joint to a bandlimited random torque perturbation superimposed on a constant bias torque is observed in normal human subjects. The applied torque input, the joint angular rotation output, and the electromyographic activity using surface electrodes from the extensor and the flexor muscles of the ankle joint were recorded. Transfer function models using time series techniques were developed for the torque - angular rotation input-output pair and for the angular rotation - electromyographic activity input-output pair. A parameter constraining technique was applied to develop more reliable models. It is shown that the asymptotic behavior of the system must be taken into account during parameter optimization to develop better predictive models.