Falls have been recognized as the major cause of accidental death and injury in people
aged 65 and above. The timely prediction of fall risks can help identify older adults prone to …

Objective To avoid deviation caused by the traditional scale method, the present study
explored the accuracy, advantages, and disadvantages of different objective detection …

Few studies have dealt with lower-limb kinematics during the timed up and go (TUG) test in
subjects with locomotive syndrome (LS). This study aimed to evaluate the characteristics of …

Background Side-stepping is a potential exercise program to reduce fall risk in community-
dwelling adults in their seventies, but it has never been tested in nursing home residents …

Purpose Objective motor and gait assessment is crucial for assessing fall risk and predicting
intervention efficacy. This study compares the postural control and gait complexity in adults …

Background Falls pose a severe threat to the health of older adults worldwide. Determining
gait and kinematic parameters that are related to an increased risk of falls is essential for …

Objectives To develop and externally validate a machine learning–based fall prediction
model for ambulatory nursing home residents. The focus is on predicting fall occurrences …

Accurate identification of community-dwelling older adults at high fall risk can facilitate timely
intervention and significantly reduce fall incidents. Analyzing gait and balance capabilities …

Gait analysis is essential for evaluating walking patterns and identifying functional
limitations. Traditional marker-based motion capture tools are costly, time-consuming, and …

Recent advances in the miniaturization of electronics have resulted in sensors whose sizes
and weights are such that they can be attached to living systems without interfering with their …