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dc.contributor.authorChan, Sonyaen
dc.date2007-09-28 15:05:13.611
dc.date2007-09-28 16:15:23.077
dc.date.accessioned2007-10-15T13:18:44Z
dc.date.available2007-10-15T13:18:44Z
dc.date.issued2007-10-15T13:18:44Z
dc.identifier.urihttp://hdl.handle.net/1974/871
dc.descriptionThesis (Master, Electrical & Computer Engineering) -- Queen's University, 2007-09-28 16:15:23.077en
dc.description.abstractThe Ergonomics Research Group at Queen’s University, supported by the Workplace and Safety Insurance Board, has been developing an on-line system to estimate peak and cumulative joint loading in the workplace. This study will aid the project by examining the muscle activation levels (MALs) in upper extremity and trunk muscles during a manual lifting task using both hands. It was hypothesized that MAL’s are correlated with the magnitude of the load in the hands and thus could be used to predict the load which in turn will be used to predict the lower back moments. Alterations in the muscle activation patterns due to lifting different loads were examined. Electromyographic signals (EMG) and kinematic data were recorded from different sites on the trunk and upper limb as subjects lifted a load from the floor to a shelf using squat, stoop and freestyle lift techniques. All raw EMG data were processed to obtain the linear envelopes (LE) which provides estimates of the MAL’s. The peak, mean and area of the linear envelopes were calculated. Using regression analysis, a relationship between the parameters and load lifted was found to exist. A non-linear parallel cascade type architecture was used to develop a model to predict the load in the hands. The model uses the EMG parameters as inputs and fits the data via linear and non-linear cascades to the output, i.e. the load in the hands. A model was successfully developed for the squat lift posture using the area, peak and mean of the zero-normalized EMG LE recorded from the erector spinae (L4 level), with a prediction error of ± 1.03kg and for the stoop posture, a prediction error of ± 2.34kg. Given the predicted loads, moments in the lower back were computed using the method of Hof (1992).en
dc.format.extent2843463 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectEMGen
dc.subjectManual liftingen
dc.subjectLoad predictionen
dc.titleThe use of EMG for load prediction during manual liftingen
dc.typethesisen
dc.description.degreeM.Sc.en
dc.contributor.supervisorMorin, Evelynen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.degree.grantorQueen's University at Kingstonen


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