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Dataset Information

Sensor-based categorization of upper limb performance in daily life of persons with and without neurological upper limb deficits.


ABSTRACT:

Background

The use of wearable sensor technology (e.g., accelerometers) for tracking human physical activity have allowed for measurement of actual activity performance of the upper limb (UL) in daily life. Data extracted from accelerometers can be used to quantify multiple variables measuring different aspects of UL performance in one or both limbs. A limitation is that several variables are needed to understand the complexity of UL performance in daily life.

Purpose

To identify categories of UL performance in daily life in adults with and without neurological UL deficits.

Methods

This study analyzed data extracted from bimanual, wrist-worn triaxial accelerometers from adults from three previous cohorts (N=211), two samples of persons with stroke and one sample from

SUBMITTER: Barth J 

PROVIDER: S-EPMC8979497 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature