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


Autoria(s): McKeone, James; Pettitt, Anthony N.
Contribuinte(s)

Muggeo, Vito M.R.

Capursi, Vincenza

Boscaino, Giovanni

Lovison, Gianfranco

Data(s)

2013

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/70768/

Publicador

Statistical Modelling Society

Relação

http://eprints.qut.edu.au/70768/1/McKeonePettitt_IWSM2013.pdf

http://www.statmod.org/workshops_archive_proceedings_2013.htm

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.

Direitos

Copyright 2013 Please consult the authors

Fonte

School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #Bayesian P-splines #MUNE #Multiple duration data
Tipo

Conference Paper