Sarcopenia classification model for musculoskeletal patients using smart insole and artificial intelligence gait analysis.

ABSTRACT:

Background

The relationship between physical function, musculoskeletal disorders and sarcopenia is intricate. Current physical function tests, such as the gait speed test and the chair stand test, have limitations in eliminating subjective influences. To overcome this, smart devices utilizing inertial measurement unit sensors and artificial intelligence (AI)-based methods are being developed.

Methods

We employed cutting-edge technologies, including the smart insole device and pose estimation based on AI, along with three classification models: random forest (RF), support vector machine and artificial neural network, to classify control and sarcopenia groups. Patient data of 83 individuals were divided into train and test sets, with approximately 67% allocated for training. C

SUBMITTER: Kim S 

PROVIDER: S-EPMC10751435 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature