Article ID Journal Published Year Pages File Type
8262877 Experimental Gerontology 2016 7 Pages PDF
Abstract
Relatively high levels of success for frailty group classification (near 90%) can be achieved from EMG. Bursts were more frequent and gaps fewer in frail compared with middle-aged and non-frail adults. The numbers of gaps and muscle quiescence in the upper limbs were particularly important. Changes in muscle activity offer predictive value in identifying frailty phenotype. Completing functional tasks (rising from the floor, toilet and chair) while undergoing EMG assessment can contribute to the identification of differences in frailty phenotype among older adults.
Related Topics
Life Sciences Biochemistry, Genetics and Molecular Biology Ageing
Authors
, , , ,