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An Evaluation Method of Assessing the Low Back Muscle Fatigue in Manual Material Handling
Author(s) -
Amin Komeili,
X. Li,
Mine Gül,
J. Lewick,
Marwan ElRich
Publication year - 2015
Publication title -
modular and offsite construction (moc) summit proceedings
Language(s) - English
Resource type - Journals
ISSN - 2562-5438
DOI - 10.29173/mocs174
Subject(s) - electromyography , low back pain , muscle fatigue , physical medicine and rehabilitation , trunk , work (physics) , physical therapy , task (project management) , kinematics , back pain , back injury , back muscles , rehabilitation , medicine , psychology , engineering , mechanical engineering , ecology , physics , alternative medicine , systems engineering , pathology , classical mechanics , biology
Workers in certain industries are exposed to high labor-intensive tasks. Low back pain (LBP) is widespread among construction workers (Hildebrandt, 1995) and is extremely prevalent, with every adult having up to an 85% chance of experiencing LBP at least once during his or her lifetime. Back-related complaints are more costly than those from any other body part for Alberta work-related claims. Ergonomic principles in addition to the engineering considerations should be included in the design of work stations to minimize the risk of injury for employees. In this study, we assessed the low back muscle fatigue due to lifting tasks. The objective was to investigate the changes in muscle activity and kinematics of the human body caused by fatigue due to repetitive lifting tasks. Three healthy male volunteers with no recent back complications were asked to complete 3 cycles of lifting task at the Syncrude Centre of the Glenrose Rehabilitation Hospital. Each cycle involved lifting a 15lb window frame for 20 times. Self? adhesive reflective markers were attached on the hands, trunk, and legs to measure displacements and rotation of the body parts while performing the task. Electromyography (EMG) sensors were placed on lower back muscles to record their activity. The muscle fatigue was investigated by studying change in EMG spectral parameters such as RMS, mean frequency (MNF), and median frequency (MDF) as well as physical condition of subjects due to repetitive lifting. The power frequency curve shifted to the low frequency when muscle fatigue occurred. As a result, the slope of the RMS, and MNF indicators were successful to describe the fatigue behavior expected.

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