Clinical effects of a novel deep learning-based rehabilitation application on cardiopulmonary function, dynamic and static balance, gait function, and activities of daily living in adolescents with hemiplegic cerebral palsy.

Journal: Medicine
Published Date:

Abstract

BACKGROUND: Adolescents with hemiplegic cerebral palsy undergo conventional physical therapy (CPT) to improve static and dynamic balance, activities of daily living and cardiopulmonary function. To overcome this problem, we developed an innovative deep learning-based rehabilitation application (DRA) to provide a motivational and chaffed platform for such individuals. DRA evaluates the patients' functional abilities and diagnosis an appropriate therapeutic intervention like CPT.

Authors

  • Yeongsang An
    Funrehab Co., Ltd., Daejeon, Korea.
  • Seunghwa Min
    Funrehab Co., Ltd., Daejeon, Korea.
  • Chanhee Park
    Sports(Movement Artificial-Intelligence Robotics Technology (SMART) Institute, Department of Physical Therapy, Yonsei University, Wonju, Republic of Korea.