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  • https://doi.org/10.1109/iccri67201.2025.11262546Copy DOI Icon

Motion Phases Recognition Method using Recurrent Neural Network for Rehabilitation Cycling Device

  • Aug 28, 2025
  • Duc Anh Le +6 more
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Abstract

Rehabilitation is a critical field for patients in intensive care units (ICUs) or those who require physical rehabilitation exercises, including those who need to regain lower limb function. Patients who have been cured of significant healththreatening diseases require an appropriate rehabilitation strategy in order to regain their health. There are technology solutions that facilitate this procedure, such as rehabilitation bicycles, which are used to rehabilitate patients' lower limbs. However, previous systems used simple mechanisms, and when pedaling, interacting force with the patient was insufficient, decreasing the efficiency of rehabilitation. In order to solve the aforementioned constraints, a new rehabilitation cycling system is developed that uses artificial intelligence to understand the movement of the bicycle, resulting in effective force interaction with the user and boosting the patient's efficacy and recovery ability.

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