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  4. Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective

Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective

Journal of NeuroEngineering and Rehabilitation, 2018 · DOI: https://doi.org/10.1186/s12984-018-0383-x · Published: May 7, 2018

Assistive TechnologyNeurologyNeurorehabilitation

Simple Explanation

Rehabilitation robots are being developed to help patients recover sensorimotor function after central nervous system damage, like stroke or spinal cord injury. The design of these robots should be based on understanding how the brain and body normally control movement and how this is affected by injury. Recovery of movement after neurological damage relies on the brain's ability to reorganize itself, a process called neuroplasticity. Rehabilitation robots should aid in training movements needed for daily tasks by facilitating proper muscle activation and stimulating relevant sensory receptors. Robot-assisted therapy offers several advantages over traditional methods, including a standardized training environment, adjustable support, and the ability to increase the intensity and frequency of therapy while reducing the strain on therapists.

Study Duration
Not specified
Participants
Not specified
Evidence Level
Review

Key Findings

  • 1
    Recovery of sensorimotor function after CNS damage is based on neuroplasticity and physiological limb activation during functional training.
  • 2
    Robot-assisted therapy provides a standardized environment, allowing increased therapy intensity and dose, which are crucial for recovery.
  • 3
    The design of rehabilitation robots requires a combination of specialized engineering and neurophysiological knowledge to ensure effective clinical application.

Research Summary

This review discusses the evolution of rehabilitation robotics and the current clinical evidence, highlighting neurophysiological factors influencing sensorimotor recovery after stroke or spinal cord injury. Effective rehabilitation robots should consider neurophysiological mechanisms for successful development and clinical inclusion in rehabilitation programs. Transdisciplinary collaborations between engineers, therapists, and clinical neurophysiologists are essential for the successful development and application of rehabilitation robots.

Practical Implications

Personalized Therapy

Rehabilitation robots can be designed to adapt to the individual needs and abilities of patients, providing customized therapy programs.

Increased Therapy Intensity

Robots can facilitate higher intensity and dose of therapy, potentially leading to improved outcomes for patients with sensorimotor deficits.

Home-Based Rehabilitation

Simpler rehabilitation robots can be used at home, allowing patients to continue therapy and receive assistance in their daily lives.

Study Limitations

  • 1
    Limited penetration of rehabilitation robots into clinical settings due to technology-driven approaches and limited exchange with therapists and clinicians.
  • 2
    Lack of consensus on the optimal therapy program for individual patients in the clinical field, making it challenging to demonstrate superiority of robot-assisted therapy.
  • 3
    Neuroplasticity is limited, with most patients reaching a plateau after recovering approximately 70–80% of the initial impairment.

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