Bayesian analysis of the stimulus–response curve.

Mathematics and Statistics

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Bayesian analysis of the stimulus–response curve. / Ridall, P. G.; Henderson, R. H.; Pettitt, A. N.
Motor Unit Number Estimation (MUNE) and Quantitative EMG. ed. / M. B. Bromberg. Vol. 60 Elsevier, 2009. p. 47-56.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Ridall, PG, Henderson, RH & Pettitt, AN 2009, Bayesian analysis of the stimulus–response curve. in MB Bromberg (ed.), Motor Unit Number Estimation (MUNE) and Quantitative EMG. vol. 60, Elsevier, pp. 47-56. <http://www.sciencedirect.com/science/book/9780444529091>

APA

Ridall, P. G., Henderson, R. H., & Pettitt, A. N. (2009). Bayesian analysis of the stimulus–response curve. In M. B. Bromberg (Ed.), Motor Unit Number Estimation (MUNE) and Quantitative EMG (Vol. 60, pp. 47-56). Elsevier. http://www.sciencedirect.com/science/book/9780444529091

Vancouver

Ridall PG, Henderson RH, Pettitt AN. Bayesian analysis of the stimulus–response curve. In Bromberg MB, editor, Motor Unit Number Estimation (MUNE) and Quantitative EMG. Vol. 60. Elsevier. 2009. p. 47-56

Author

Ridall, P. G. ; Henderson, R. H. ; Pettitt, A. N. / Bayesian analysis of the stimulus–response curve. Motor Unit Number Estimation (MUNE) and Quantitative EMG. editor / M. B. Bromberg. Vol. 60 Elsevier, 2009. pp. 47-56

Bibtex

@inbook{05857a4b4c72404ba84e8271b8ef0f14,

title = "Bayesian analysis of the stimulus–response curve.",

abstract = "In this paper we present our Bayesian method for carrying out motor unit number estimation (MUNE) using stimulus–response data collected from surface electrophysiological recordings. We formulate and justify our assumptions in Ridall et al. (2006) and base these on available scientific evidence, as outlined in the previous paper. The object of our methodology is to express the uncertainty about the number of motor units in a muscle in terms of a posterior distribution. From studies taken over time, these posterior distributions can be used to estimate the rate of loss of motor units. A by-product of this method of MUNE is that it provides a means of tracking a given population of motor units over time. Examples of the parameters that can be tracked over time include the distribution of the excitability parameters, the single motor unit action potentials and the between and within motor unit variability.",

author = "Ridall, {P. G.} and Henderson, {R. H.} and Pettitt, {A. N.}",

year = "2009",

language = "English",

isbn = "978-0-444-52909-1",

volume = "60",

pages = "47--56",

editor = "Bromberg, {M. B.}",

booktitle = "Motor Unit Number Estimation (MUNE) and Quantitative EMG",

publisher = "Elsevier",

}

RIS

TY - CHAP

T1 - Bayesian analysis of the stimulus–response curve.

AU - Ridall, P. G.

AU - Henderson, R. H.

AU - Pettitt, A. N.

PY - 2009

Y1 - 2009

N2 - In this paper we present our Bayesian method for carrying out motor unit number estimation (MUNE) using stimulus–response data collected from surface electrophysiological recordings. We formulate and justify our assumptions in Ridall et al. (2006) and base these on available scientific evidence, as outlined in the previous paper. The object of our methodology is to express the uncertainty about the number of motor units in a muscle in terms of a posterior distribution. From studies taken over time, these posterior distributions can be used to estimate the rate of loss of motor units. A by-product of this method of MUNE is that it provides a means of tracking a given population of motor units over time. Examples of the parameters that can be tracked over time include the distribution of the excitability parameters, the single motor unit action potentials and the between and within motor unit variability.

AB - In this paper we present our Bayesian method for carrying out motor unit number estimation (MUNE) using stimulus–response data collected from surface electrophysiological recordings. We formulate and justify our assumptions in Ridall et al. (2006) and base these on available scientific evidence, as outlined in the previous paper. The object of our methodology is to express the uncertainty about the number of motor units in a muscle in terms of a posterior distribution. From studies taken over time, these posterior distributions can be used to estimate the rate of loss of motor units. A by-product of this method of MUNE is that it provides a means of tracking a given population of motor units over time. Examples of the parameters that can be tracked over time include the distribution of the excitability parameters, the single motor unit action potentials and the between and within motor unit variability.

M3 - Chapter

SN - 978-0-444-52909-1

VL - 60

SP - 47

EP - 56

BT - Motor Unit Number Estimation (MUNE) and Quantitative EMG

A2 - Bromberg, M. B.

PB - Elsevier

ER -

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