Robot-Aided Motion Analysis in Neurorehabilitation: Benefits and Challenges

Robot-aided motion analysis (R-AMA) helps in neurorehabilitation by accurately registering and monitoring patient motion, surpassing the precision of clinical scales. R-AMA's extensive data generation facilitates the development of machine learning algorithms, which can identify factors predicting motor outcomes. Despite its potential, the clinical acceptance of robotic assessment tools is limited by concerns about reliability and validity compared to standard scales.

• 1
  The Lokomat and Armeo devices are the most frequently used R-AMA tools for gait/balance and upper limb rehabilitation, respectively.
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  R-AMA enables tailoring rehabilitation sessions based on objective quantification of patients' functional abilities.
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  R-AMA could provide clinicians and researchers with reliable and more objective data regarding motion analysis of the lower and upper limbs