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A fuzzy relational rule network modeling of electromyographical activity of trunk muscles in manual lifting based on trunk angels, moments, pelvic tilt and rotation angles.

Authors
Karwowski-W; Gaweda-A; Marras-WS; Davis-K; Zurada-JM; Rodrick-D
Source
Int J Ind Ergon 2006 Oct; 36(10):847-859
NIOSHTIC No.
20041174
Abstract
The main objective of the study was to model the electromyographic (EMG) responses for 10 trunk muscles in manual-lifting tasks using the fuzzy relational rule network (FRRN). The FRRN utilized trunk-related variables, including sagittal and lateral trunk moments, pelvic tilt and pelvic rotation angles, and sagittal, lateral, and twist trunk angles as model inputs. The EMG data for model training and testing were randomly selected from a set collected for 20 college students. The data represented a total of 24 combinations of weight lifted (15, 30, 50 lbs), asymmetry (0, 60), and the origin and destination of lift (floor-waist, floor-102 cm, knee-waist, knee-102 cm), with two replications of each condition. The primary data-driven fuzzy model with relational input partition was trained using the laboratory EMG data for 10 subjects, and was then tested based on the EMG data for another 10 subjects. The model allowed for estimating EMG responses for the 10 trunk muscles with the average value of mean absolute error (MAE) of 9.9% (SD=1.44%). This study demonstrates that application of fuzzy modeling techniques allows for estimating time domain EMG responses of trunk muscles due to manual lifting under limited task conditions.
Keywords
Models; Computer-models; Mathematical-models; Biomechanical-modeling; Biomechanics; Musculoskeletal-system; Manual-lifting; Author Keywords: Manual lifting; Electromyography; Trunk muscles; Model estimation; Fuzzy relational rule; Soft computing
Contact
W. Karwowski, Center for Industrial Ergonomics, University of Louisville, Lutz Hall, Room 445, Louisville, KY 40292, USA
Publication Date
20061001
Document Type
Journal Article
Email Address
karwowski@louisville.edu
Funding Type
Grant
Fiscal Year
2007
NTIS Accession No.
NTIS Price
Identifying No.
Grant-Number-R01-OH-007787
Issue of Publication
10
ISSN
0169-8141
Source Name
International Journal of Industrial Ergonomics
State
OH; KY
Performing Organization
Ohio State University
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