Prospects for intelligent rehabilitation techniques to treat motor dysfunction

Neural Regen Res, 2021 · DOI: https://doi.org/10.4103/1673-5374.290884 · Published: February 1, 2021

Simple Explanation

More than half of stroke patients experience lasting motor dysfunction even after standard rehabilitation. New technologies are needed to improve motor rehabilitation outcomes. Intelligent rehabilitation uses technology for better function assessment and training. It aims to make rehabilitation more informative, standardized, and smart. Techniques like brain-computer interfaces and virtual reality are being used to help patients recover motor function. These methods can offer objective assessments and improve treatment guidance.

Study Duration

Not specified

Participants

Not specified

Evidence Level

Review

Key Findings

1
Emerging intelligent rehabilitation techniques provide objective and accurate functional assessment for stroke patients.
2
Brain plasticity and artificial intelligence play critical roles in functional motor recovery.
3
Combining neurological biomarkers and clinical outcomes enables accurate clinical evaluation and prognosis after stroke.

Research Summary

Motor dysfunction from neurological diseases creates significant burdens. Rehabilitation aims to restore function, but deficits often persist, necessitating new approaches. Intelligent rehabilitation, incorporating technologies like brain-computer interfaces and virtual reality, is being developed to improve assessment and treatment of motor dysfunction. Objective assessment methods, including biomechanical tests and neuroimaging, supplement traditional subjective scales, enhancing the accuracy and personalization of rehabilitation.

Practical Implications

Improved Assessment

Objective methods like biomechanics, electrophysiology, and neuroimaging can supplement traditional assessments for a more accurate evaluation of motor deficits.

Enhanced Rehabilitation

Intelligent techniques, such as FES, TMS, BCI, VR, and robotics, can be integrated with conventional therapy to improve motor function recovery.

Personalized Treatment

Combining neurological biomarkers with clinical outcomes can enable accurate prognosis and guide treatment choices for rehabilitation.

Study Limitations

1
Lack of uniform standards or application guides for intelligent rehabilitation technology.
2
Need for improvements in signal acquisition hardware, validation, dissemination and reliability.
3
Limited evidence showing significant superior effectiveness of robotic therapy over conventional therapy.

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