Smart Rehabilitation Glove Based On AI And IOT Technology For Brain Stroke Patients
DOI:
https://doi.org/10.64252/9f86k622Keywords:
smart glove, post stroke recovery, machine learning, internet of things, brain stroke rehabilitation, recovery score prediction, patient progress, artificial intelligence.Abstract
Rehabilitation is a crucial part of the recovery process for people with disabilities, even if it can be more difficult in case of limbs disorder after brain stroke. Which is important for everyday tasks and longer processes to recover than other body parts of body. In this study, smart rehabilitation glove for brain stroke patients is proposed which includes Internet-of-Things (IoT) based sensors flexi-force, flex, Max30100 to monitor bending angle and gripping strength of fingers in real-time. The ThingsBoard cloud keeps track of the real-time data produced by the sensors for future analysis. Machine learning (ML) models such as Random Forest Regressor and XGBoost Regressor, used to predict recovery scores. To classify patient progress of rehabilitation various ML classifiers were used, out of which Neural Network outperforms with 98.1% accuracy. The proposed smart glove system provides both healthcare providers and patients instant feedback and helps them improve stroke recovery processes.
