Arnab Sarmah, Raghav Aggarwal, Sarth Sameer Vitekar, Shunsuke Katao, Lipika Boruah, Satoshi Ito, Subramani Kanagaraj
BACKGROUND: Early detection of balance-related pathologies in adults using Posturography, anthropometric and personal data is limited. Our goal is to address this issue. It will enable us to identify adults in early stages of balance disorders using easily accessible and measurable data. METHODS: Open-source data of 163 subjects (47 males and 116 females) is used to train and test classification algorithms. Features include mean and standard deviation of the center of pressure displacement, obtained through posturography, the anthropometric and personal variables (age, sex, body mass index, foot length), and Trail Making Test scores...
February 20, 2024: Clinical Biomechanics