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, the waist , arguably a more accessible location for use by older adults is a common sensor-location selected in studies [47]. Data obtained from single sensors positioned at the waist have demonstrated high ...
of related risk factors pose a challenge. Factor analysis can be used as a data reduction step to cluster related risk factors into underlying latent variables. We aimed to assess which clinical ...
first tested using log-rank test for equality of survivor functions and Kaplan-Meier curve generation to assess time to first fall event for categorical data; Cox proportional hazard models with a single ...
Introduction Fall is common after stroke. The Short-form Physiological Profile Assessment (S-PPA) was developed to assess the fall risks and underlying physiological factors, and it has been used ...
was to identify risk factors for a sleep disorder through machine-learning and assess this methodology. Design, setting, and participants A retrospective, cross-sectional cohort study using the publicly available ...
dataset of the study cohort (n = 1303). Association between maternal clinical factors (second and third trimester) and GDM in women with obesity was assessed using logistic regression (unadjusted ...
, longitudinal, randomized, single -blinded, case-control, clinical trial. We will include 76 non-demented patients with idiopathic PD with a high risk of falling and limited access to multidisciplinary care ...
assessments into clinical care [6]. The field of fall prediction using wearable sensors has been a hive of activity. A recent systematic review identified 40 studies that identified 130 distinct variables ...
more than 26 fall risk assessment tools are available for clinicians [4], evolving wearable sensors systems can provide opportunities to augment common clinical mobility tests for fall risk ...
(number of assessment days, sample size, use of diaries) were all recorded. Additionally, the studies ’ aims, outcome measures, analyses used and results were summarized. To analyze the risk of bias ...
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