SarcoNet: A Pilot Study on Integrating Clinical and Kinematic Features for Sarcopenia Classification.

ABSTRACT: Background and Objectives: Sarcopenia is a progressive loss of skeletal muscle mass and function in elderly adults, posing a significant risk of frailty, falls, and morbidity. The current study designs and evaluates SarcoNet, a novel artificial neural network (ANN)-based classification framework developed in order to classify Sarcopenic from non-Sarcopenic subjects using a comprehensive real-time dataset. Methods: This pilot study involved 30 subjects, who were divided into Sarcopenic and non-Sarcopenic groups based on physician assessment. The collected dataset consists of thirty-one clinical parameters like skeletal muscle mass, which is collected using various equipment such as Body Composition Analyser, along with ten kinetic features which are derived from video-based ga

SUBMITTER: Balakrishnan M 

PROVIDER: S-EPMC12523922 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature