A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors.

ABSTRACT: Sit-to-stand transitions are an important part of activities of daily living and play a key role in functional mobility in humans. The sit-to-stand movement is often affected in older adults due to frailty and in patients with motor impairments such as Parkinson's disease leading to falls. Studying kinematics of sit-to-stand transitions can provide insight in assessment, monitoring and developing rehabilitation strategies for the affected populations. We propose a three-segment body model for estimating sit-to-stand kinematics using only two wearable inertial sensors, placed on the shank and back. Reducing the number of sensors to two instead of one per body segment facilitates monitoring and classifying movements over extended periods, making it more comfortable to wear while reducing the

SUBMITTER: Wairagkar M 

PROVIDER: S-EPMC9578638 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature