title: Estimation of impulse response between electromyogram signals for use in conduction delay distribution estimation.
abstract: The time delay between two surface electromyograms (EMGs) acquired along the conduction path is used to estimate mean action potential conduction velocity. Modeling the linear impulse response between "upstream" and "downstream" EMG signals permits an estimate of the distribution of velocities, providing more information. In this work, we analyzed EMG from bipolar electrodes placed on the tibialis anterior of 36 subjects, using an inter-electrode distance of 10 mm. Regularized least squares was used to fit the coefficients of a finite impulse response model. We trained the model on one recording, then tested on two others. The optimum correlation between the model-predicted and actual EMG averaged 0.70. We also compared estimation of the mean conduction delay from the peak time of the impulse response to the "gold standard" peak time of the cross-correlation between the upstream and downstream EMG signals. Optimal models differed from the gold standard by 0.02 ms, on average. Model performance was influenced by the regularization parameters. The impulse responses, however, incorrectly contained substantive power at very low time delays, causing delay distribution estimates to exhibit high probabilities at very short conduction delays. Unrealistic distribution estimates resulted. Larger inter-electrode spacing may be required to alleviate this limitation.
authors: Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA. thassan@wpi.edu
authors: Tahsin
authors: T
authors: Hassan
authors: Kyle C D
authors: KC
authors: McIntosh
authors: David A
authors: DA
authors: Gabriel
authors: Edward A
authors: EA
authors: Clancy
mesh_terms: D000200:Action Potentials / Q000502:physiology; D004576:Electromyography / Q000295:instrumentation*; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009431:Neural Conduction / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult
references: Electromyogr Clin Neurophysiol. 1981 Sep-Oct;21(6):525-38
references: 7318742
references: Med Biol Eng Comput. 2001 Mar;39(2):225-36
references: 11361250
references: IEEE Trans Biomed Eng. 1987 May;34(5):365-74
references: 3596620
references: Med Biol Eng Comput. 1989 Mar;27(2):125-9
references: 2601430
references: J Occup Med. 1973 Apr;15(4):346-54
references: 4348609
references: J Neurosci Methods. 2002 Mar 30;115(1):1-12
references: 11897359
references: Eur J Appl Physiol Occup Physiol. 1987;56(2):212-6
references: 3569228
references: Med Biol Eng Comput. 1997 Mar;35(2):83-90
references: 9136198
references: Muscle Nerve. 2012 Feb;45(2):257-65
references: 22246883
references: IEEE Trans Biomed Eng. 2006 Oct;53(10):1963-71
references: 17019860
references: Eur J Appl Physiol Occup Physiol. 1977 Sep 16;37(2):111-21
references: 902652
references: Med Biol Eng Comput. 2004 Jul;42(4):432-45
references: 15320452
references: J Neurosci Methods. 2004 Jul 30;136(2):165-77
references: 15183268
references: IEEE Trans Biomed Eng. 1985 May;32(5):341-4
references: 3997188
references: Muscle Nerve. 2003 Jul;28(1):1-17
references: 12811768
references: Muscle Nerve. 2004 Jan;29(1):46-50
references: 14694497
references: Med Biol Eng Comput. 1987 Mar;25(2):121-6
references: 3695613
references: IEEE Trans Biomed Eng. 1982 Oct;29(10):673-8
references: 7173932
references: IEEE Trans Biomed Eng. 2000 Mar;47(3):380-8
references: 10743780
references: J Appl Physiol (1985). 2006 Jun;100(6):1837-41
references: 16424073
references: IEEE Trans Biomed Eng. 2003 Dec;50(12):1340-51
references: 14656063
references: Med Biol Eng Comput. 2003 May;41(3):338-45
references: 12803300
references: IEEE Trans Biomed Eng. 1979 Oct;26(10):564-71
references: 540906
references: J Electromyogr Kinesiol. 2000 Oct;10(5):287-91
references: 11018438
references: IEEE Trans Biomed Eng. 2007 Sep;54(9):1583-9
references: 17867350
references: Med Biol Eng Comput. 1983 Mar;21(2):203-9
references: 6887997
references: J Neurosci Methods. 2005 Mar 15;142(1):83-9
references: 15652620
references: Muscle Nerve. 2004 Feb;29(2):282-91
references: 14755495