Comparison of Baselines in Extraction of F-Responses

Ryoji Fukuda; Aoi Honda; Akiko Hachisuka; Kenji Hachisuka

doi:10.20965/jaciii.2013.p0535

single-jc.php

« previous

JACIII Vol.17 No.4 pp. 535-539

doi: 10.20965/jaciii.2013.p0535

(2013)

Paper:

Views over last 60 days: 454

Comparison of Baselines in Extraction of F-Responses

Ryoji Fukuda^, Aoi Honda^, Akiko Hachisuka^,
and Kenji Hachisuka^***

^*Oita University, 700 Dan-noharu, Oita 870-1192, Japan

^**Kyushu Institute of Technology, 680-2 Kawazu, Iizuka, Fukuoka 820-8502, Japan

^***University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu-city, Fukuoka 807-8555, Japan

Received:

February 28, 2013

Accepted:

April 12, 2013

Published:

July 20, 2013

Keywords:

F-wave, electrodiagnosis, waveform analysis, baseline, polynomial trendline

Abstract

The objective of this study is to eliminate slow responses that displace baselines positively. This is a key component of an automated technique for determining parameters of F-waves in an evoked potential obtained by limb stimulation. We investigate five methods and compare them to F-wave repeater data through visual observation by experts.

Cite this article as:

R. Fukuda, A. Honda, A. Hachisuka, and K. Hachisuka, “Comparison of Baselines in Extraction of F-Responses,” J. Adv. Comput. Intell. Intell. Inform., Vol.17 No.4, pp. 535-539, 2013.

Data files:

References

[1] A. Morris and M. A. Fisher, “The contemporary role of F-wave studies. F-wave studies: Clinical utility,” Muscle & Nerve, Vol.21, No.8, pp. 1098-1101, 1998.
[2] D. W. Stashuk, T. J. Joherty, A. Kassam, and W. F. Brown, “Motor unit number estimates based on the automated analysis of Fresponses,” Muscle & Nerve, Vol.17, No.8, pp. 881-890, 1994.
[3] M. A. Fisher, “Comparison of automated and manual F-wave latency measurements,” Clinical neurophysiology, Vol.116, No.2, pp. 264-269, 2005.
[4] B. H. Tracey, D. Iyer, E. A. Lesser, F. J. Potts, and S. N. Gozani, “Comparison of expert and algorithm agreement in measurement of nerve conduction study parameters,” Biomedical Signal Processing and Control, Vol.5, No.2, pp. 158-163, 2010.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] A. Morris and M. A. Fisher, “The contemporary role of F-wave studies. F-wave studies: Clinical utility,” Muscle & Nerve, Vol.21, No.8, pp. 1098-1101, 1998.

[2] [2] D. W. Stashuk, T. J. Joherty, A. Kassam, and W. F. Brown, “Motor unit number estimates based on the automated analysis of Fresponses,” Muscle & Nerve, Vol.17, No.8, pp. 881-890, 1994.

[3] [3] M. A. Fisher, “Comparison of automated and manual F-wave latency measurements,” Clinical neurophysiology, Vol.116, No.2, pp. 264-269, 2005.

[4] [4] B. H. Tracey, D. Iyer, E. A. Lesser, F. J. Potts, and S. N. Gozani, “Comparison of expert and algorithm agreement in measurement of nerve conduction study parameters,” Biomedical Signal Processing and Control, Vol.5, No.2, pp. 158-163, 2010.

Comparison of Baselines in Extraction of F-Responses

Ryoji Fukuda*, Aoi Honda**, Akiko Hachisuka***, and Kenji Hachisuka***

Ryoji Fukuda^, Aoi Honda^, Akiko Hachisuka^,
and Kenji Hachisuka^***