and
scales
based
on
indicators to provide
scores related to physical assessment.
However, these
scores depend on the viewpoint of the geriatrician. So, the
assessment contains a level of subjectivity. Besides, frailty
detection includes the study of other indicators from
nutritional, cognitive, and social domains. In this paper, we
propose a system to support physicians determining an
accurate and centralized elderly frailty diagnosis, by using
an accelerometer-enabled mobile phone. The accelerometer
collects data movement from physical activity and
calculates a set of measures that are combined with clinical
indicators (from tests and medical instruments) providing a
frailty assessment to facilitate decision-making and the
subsequent treatment