A simple robotic system for neurorehabilitation

S. Micera, M. C. Carrozza, E. Guglielmelli, G. Cappiello, F. Zaccone, C. Freschi, R. Colombo, A. Mazzone, C. Delconte, F. Pisano, G. Minuco, P. Dario

Research output: Contribution to journalArticlepeer-review


In the recent past, several researchers have shown that important variables in relearning motor skills and in changing the underlying neural architecture after stroke are the quantity, duration, content, and intensity of training sessions. Unfortunately, when traditional therapy is provided in a hospital or rehabilitation center, the patient is usually seen for few hours a week. Robot-mediated therapies could improve this situation but even if interesting results have been achieved by several groups, the use of robot-mediated therapy has not become very common in clinical practice. This is due to many different reasons (e.g., the "technophobia" of some clinicians, the need for more extensive clinical trials) but one of the more important is the cost and the complexity of these devices which make them difficult to be purchased and used in all the clinical centers. The aim of this work was to verify the possibility of improving motor recovery of hemiparetic subjects by using a simple mechatronic system. To achieve this goal, our system (named "MEchatronic system for MOtor recovery after Stroke" (MEMOS)) has been designed with the aim of using mainly "off-the-shelf products" with only few parts simply manufactured with standard technology, when commercial parts were not available. Moreover, the prototype has been developed taking into account the requirements related to the clinical applicability such as robustness and safety. The MEMOSsystem has been used during clinical trials with subjects affected by chronic hemiparesis (

Original languageEnglish
Pages (from-to)271-284
Number of pages14
JournalAutonomous Robots
Issue number3
Publication statusPublished - Dec 2005


  • Biomedical robotics
  • Rehabilitation robotics
  • Stroke

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence


Dive into the research topics of 'A simple robotic system for neurorehabilitation'. Together they form a unique fingerprint.

Cite this