Feasibility of predicting functional decline in the elderly through key posture information during sit-to-stand movement

This study preliminarily demonstrates that eigenvalues can be used to detect STS patterns and compensation strategies adopted by individuals with different capacities. Our machine learning model has excellent predictive accuracy and may be used to develop inexpensive and effective systems to help caregivers to continuously monitor STS patterns and compensation strategies of elderly individuals as warning signs of functional decline.PMID:38547793 | DOI:10.1016/j.humov.2024.103212
Source: Human Movement Science - Category: Neurology Authors: Source Type: research