Application of a detection-characterization frame for SEMG: preliminary results about head rest comfort in cars

Author

Lamotte, T. ; Priez, A. ; Guillon, F. ; Domont, A. ; Lepoivre, E. ; Tarriere, C. ; Duchene, J.

Author_Institution

AARISTE, Paris, France

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1462

Abstract

Describes a detection and characterization frame for Surface ElectroMyoGraphy (SEMG). Detection was based on a classical test of variance comparison. For labelling, a method based on a Bayesian approach was performed. Thresholds were learned supervisely. The aim is the extraction of significant parameters from a postural SEMG in long term recordings. The temporal evolution of postural SEMG was then considered. Results about head rest comfort evaluation are presented and compared to previous studies. The observed results remain subject dependent

Keywords

Bayes methods; automobiles; electromyography; medical signal processing; parameter estimation; Bayesian approach; EMG analysis; cars; detection-characterization frame; head rest comfort; significant parameters extraction; subject-dependent results; supervised learning; surface electromyography; thresholds; variance comparison; Automobiles; Bayesian methods; Electrocardiography; Electromyography; Labeling; Magnetic heads; Muscles; Parametric statistics; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647505

Filename

647505