Bayesian P-splines with a multiplicative term in EMG trace data

McKeone, James & Pettitt, Anthony N. (2013) Bayesian P-splines with a multiplicative term in EMG trace data. In Muggeo, Vito M.R., Capursi, Vincenza, Boscaino, Giovanni, & Lovison, Gianfranco (Eds.) Proceedings of the 28th International Workshop on Statistical Modelling, Statistical Modelling Society, Palermo, Italy, pp. 275-280.

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Abstract

A method is proposed to describe force or compound muscle action potential (CMAP) trace data collected in an electromyography study for motor unit number estimation (MUNE). Experimental data was collected using incre- mental stimulation at multiple durations. However, stimulus information, vital for alternate MUNE methods, is not comparable for multiple duration data and therefore previous methods of MUNE (Ridall et al., 2006, 2007) cannot be used with any reliability. Hypothesised ring combinations of motor units are mod- elled using a multiplicative factor and Bayesian P-spline formulation. The model describes the process for force and CMAP in a meaningful way.

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ID Code: 70768
Item Type: Conference Paper
Refereed: Yes
Keywords: Bayesian P-splines, MUNE, Multiple duration data
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Please consult the authors
Deposited On: 01 May 2014 00:10
Last Modified: 22 Jul 2017 04:37

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