A deep learning approach for lower back-pain risk prediction during manual lifting
نویسندگان
چکیده
منابع مشابه
Comparison of electrical and co-contraction activity of selected lower limb muscles during manual load lifting with three different technique
Introduction and Aim: Manual handling of loads is a complex dynamic task that involves the upper and lower limbs. Manual handling of loads in sports and daily activities can expose people to unfavorable physical conditions and lead to injury. The study aimed to compare the electrical activity and co-contraction of selected lower limb muscles during manual load lifting with three different techn...
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OBJECTIVE We briefly discuss the history of acupuncture and its postulated mechanisms of action, but our primary objective is to discuss the evidence for acupuncture's efficacy in low back pain as well as approaches of newer study protocols to define more clearly the true usefulness of this alternative modality in low back pain. METHODS Pubmed online search of all articles and other literatur...
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OBJECTIVE The objective was to evaluate the efficacy of the Revised National Institute for Occupational Safety and Health (NIOSH) lifting equation (RNLE) to predict risk of low-back pain (LBP). BACKGROUND In 1993, NIOSH published the RNLE as a risk assessment method for LBP associated with manual lifting. To date, there has been little research evaluating the RNLE as a predictor of the risk o...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2021
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0247162