Intelligent system for after-stroke home rehabilitation

Intelligent system for after-stroke home rehabilitation

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Rehabilitation robotics has become increasingly interested for the research community and addresses the study of different robotic systems having as the main goal to restore the human functions for those people that suffers a stroke or a cerebrovascular accident (CVA). In this case, the motor control is affected and also the patient's independent living. Many researchers studied different ways to recover functional motor skills and they demonstrated that repetitive training may be necessary to modify neural organization and to help patients in restoring a part of their functions. In this context, the chapter presents the design of an intelligent haptic robotic glove prototype for the rehabilitation of the patients that have suffered a CVA. The control system for a rehabilitation hand exoskeleton is presented and different approaches are discussed. The performance of the control system is demonstrated not only by the simulation, but also by a set of patients from the Rehabilitation Hospital of Iasi (Romania). The main goal of the proposed system is to help the patient to make a lot of rehabilitation exercises by themselves, at home.

Chapter Contents:

  • Abstract
  • 14.1 Introduction
  • 14.2 Design and development of the IHRG structure
  • 14.3 Voice control approach
  • 14.3.1 Hardware and software design
  • 14.3.2 Experiments with vocal commands
  • 14.4 Predefined recovery exercises system for home use
  • 14.5 Hybrid FES-robotic glove approach
  • 14.5.1 Hybrid system description
  • 14.5.2 Experimental results
  • 14.5.3 Statistical analysis
  • 14.6 Conclusion
  • References
  • Biographies

Inspec keywords: patient rehabilitation; diseases; intelligent robots; medical robotics

Other keywords: intelligent system; cerebrovascular accident; rehabilitation hand exoskeleton; patient rehabilitation; control system; intelligent haptic robotic glove prototype; CVA; after-stroke home rehabilitation

Subjects: Biological and medical control systems; Robotics

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