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Efficacy of Robotic-Assisted Gait Training in chronic stroke patients: Preliminary results of an Italian bi-centre study

  • Irene Giovanna Aprile*
  • , Chiara Iacovelli
  • , Luca Padua
  • , D Galafate
  • , S Criscuolo
  • , D Gabbani
  • , A Cruciani
  • , M Germanotta
  • , nullDi Sipio Nulle
  • , nullDe Pisi Nullf
  • , M. Franceschini
  • *Corresponding author
  • IRCCS Fondazione Don Carlo Gnocchi - Milano

Research output: Contribution to journalArticle

Abstract

The gait recovery is a realist goal in the rehabilitation of almost Stroke patients. Over the last years, the introduction of robotic technologies in gait rehabilitation of stroke patients has had a greatest interest.\r\nOBJECTIVE:\r\nThe aim of this study was to evaluate efficacy of Robotic Gait Training (RGT) in Chronic Stroke Patients.\r\nMETHODS:\r\nFourteen chronic stroke patients were divided into two groups. Six patients received RGT, eight patients received traditional gait rehabilitation. Patients were assessed with clinical scales, as well as with gait analysis, at the beginning and at the end of the treatment.\r\nRESULTS:\r\nSignificant changes in some clinical scales for both the groups were detected. In the robotic group, patients showed higher percentage changes in the MRC scale (p = 0.020), in the 6MWT (p = 0.043) and in the Ashworth scale (hip: p = 0.008; knee: p = 0.043; ankle: p = 0.043) when compared with the traditional group. With respect to the gait analysis, we did not found any difference neither in the within- group analysis, nor in the between- group analysis.\r\nCONCLUSIONS:\r\nBoth rehabilitation treatments do not change the compensatory strategies in chronic patients but the RGT offers to the patients a more intensive and controlled gait training increasing the gait endurance and decreasing spasticity in the lower limb.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalNeuroRehabilitation
Issue numberSep 16
DOIs
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Physical Therapy, Sports Therapy and Rehabilitation
  • Rehabilitation
  • Clinical Neurology

Keywords

  • Rehabilitation
  • Stroke
  • chronic
  • gait analysis
  • robotics

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