Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor.

ABSTRACT:

Background

Artificial intelligence is being used for rehabilitation, including monitoring exercise compliance through sensor technology. AI classification of shoulder exercise wearing an IMU sensor has only been reported in normal (i.e. painless) subjects. To prove the feasibility of monitoring exercise compliance, we aimed to classify 11 types of shoulder rehabilitation exercises using an AI (artificial intelligence) algorithm in patients with shoulder pain. We had the patients wear an IMU-based sensor, collected data during exercise, and determined the accuracy of exercise classification.

Methods

Data were collected from 58 patients (27 males, 31 females, age range 37-82 years) diagnosed with shoulder diseases such as adhesive capsulitis and rotator cuff disease. 11 types

SUBMITTER: Lee K 

PROVIDER: S-EPMC10967210 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature