Haptic-based neurorehabilitation in poststroke patients: A feasibility prospective multicentre trial for robotics hand rehabilitation

Andrea Turolla, Omar A. Daud Albasini, Roberto Oboe, Michela Agostini, Paolo Tonin, Stefano Paolucci, Giorgio Sandrini, Annalena Venneri, Lamberto Piron

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Background. Haptic robots allow the exploitation of known motor learning mechanisms, representing a valuable option for motor treatment after stroke. The aim of this feasibility multicentre study was to test the clinical efficacy of a haptic prototype, for the recovery of hand function after stroke. Methods. A prospective pilot clinical trial was planned on 15 consecutive patients enrolled in 3 rehabilitation centre in Italy. All the framework features of the haptic robot (e.g., control loop, external communication, and graphic rendering for virtual reality) were implemented into a real-time MATLAB/Simulink environment, controlling a five-bar linkage able to provide forces up to 20 [N] at the end effector, used for finger and hand rehabilitation therapies. Clinical (i.e., Fugl-Meyer upper extremity scale; nine hold pegboard test) and kinematics (i.e., time; velocity; jerk metric; normalized jerk of standard movements) outcomes were assessed before and after treatment to detect changes in patients' motor performance. Reorganization of cortical activation was detected in one patient by fMRI. Results and Conclusions. All patients showed significant improvements in both clinical and kinematic outcomes. Additionally, fMRI results suggest that the proposed approach may promote a better cortical activation in the brain.

Original languageEnglish
Article number895492
JournalComputational and Mathematical Methods in Medicine
Volume2013
DOIs
Publication statusPublished - 2013

Fingerprint

Haptics
Rehabilitation
Robotics
End effectors
Patient rehabilitation
Multicenter Studies
Functional Magnetic Resonance Imaging
Hand
Stroke
Activation
Kinematics
Chemical activation
Biomechanical Phenomena
Robots
Robot Control
Magnetic Resonance Imaging
Matlab/Simulink
Virtual Reality
Clinical Trials
Rendering

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)
  • Immunology and Microbiology(all)

Cite this

Haptic-based neurorehabilitation in poststroke patients : A feasibility prospective multicentre trial for robotics hand rehabilitation. / Turolla, Andrea; Daud Albasini, Omar A.; Oboe, Roberto; Agostini, Michela; Tonin, Paolo; Paolucci, Stefano; Sandrini, Giorgio; Venneri, Annalena; Piron, Lamberto.

In: Computational and Mathematical Methods in Medicine, Vol. 2013, 895492, 2013.

Research output: Contribution to journalArticle

@article{3fa42bdaa39c4ecbba221e9ecfdb10e2,
title = "Haptic-based neurorehabilitation in poststroke patients: A feasibility prospective multicentre trial for robotics hand rehabilitation",
abstract = "Background. Haptic robots allow the exploitation of known motor learning mechanisms, representing a valuable option for motor treatment after stroke. The aim of this feasibility multicentre study was to test the clinical efficacy of a haptic prototype, for the recovery of hand function after stroke. Methods. A prospective pilot clinical trial was planned on 15 consecutive patients enrolled in 3 rehabilitation centre in Italy. All the framework features of the haptic robot (e.g., control loop, external communication, and graphic rendering for virtual reality) were implemented into a real-time MATLAB/Simulink environment, controlling a five-bar linkage able to provide forces up to 20 [N] at the end effector, used for finger and hand rehabilitation therapies. Clinical (i.e., Fugl-Meyer upper extremity scale; nine hold pegboard test) and kinematics (i.e., time; velocity; jerk metric; normalized jerk of standard movements) outcomes were assessed before and after treatment to detect changes in patients' motor performance. Reorganization of cortical activation was detected in one patient by fMRI. Results and Conclusions. All patients showed significant improvements in both clinical and kinematic outcomes. Additionally, fMRI results suggest that the proposed approach may promote a better cortical activation in the brain.",
author = "Andrea Turolla and {Daud Albasini}, {Omar A.} and Roberto Oboe and Michela Agostini and Paolo Tonin and Stefano Paolucci and Giorgio Sandrini and Annalena Venneri and Lamberto Piron",
year = "2013",
doi = "10.1155/2013/895492",
language = "English",
volume = "2013",
journal = "Computational and Mathematical Methods in Medicine",
issn = "1748-670X",
publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - Haptic-based neurorehabilitation in poststroke patients

T2 - A feasibility prospective multicentre trial for robotics hand rehabilitation

AU - Turolla, Andrea

AU - Daud Albasini, Omar A.

AU - Oboe, Roberto

AU - Agostini, Michela

AU - Tonin, Paolo

AU - Paolucci, Stefano

AU - Sandrini, Giorgio

AU - Venneri, Annalena

AU - Piron, Lamberto

PY - 2013

Y1 - 2013

N2 - Background. Haptic robots allow the exploitation of known motor learning mechanisms, representing a valuable option for motor treatment after stroke. The aim of this feasibility multicentre study was to test the clinical efficacy of a haptic prototype, for the recovery of hand function after stroke. Methods. A prospective pilot clinical trial was planned on 15 consecutive patients enrolled in 3 rehabilitation centre in Italy. All the framework features of the haptic robot (e.g., control loop, external communication, and graphic rendering for virtual reality) were implemented into a real-time MATLAB/Simulink environment, controlling a five-bar linkage able to provide forces up to 20 [N] at the end effector, used for finger and hand rehabilitation therapies. Clinical (i.e., Fugl-Meyer upper extremity scale; nine hold pegboard test) and kinematics (i.e., time; velocity; jerk metric; normalized jerk of standard movements) outcomes were assessed before and after treatment to detect changes in patients' motor performance. Reorganization of cortical activation was detected in one patient by fMRI. Results and Conclusions. All patients showed significant improvements in both clinical and kinematic outcomes. Additionally, fMRI results suggest that the proposed approach may promote a better cortical activation in the brain.

AB - Background. Haptic robots allow the exploitation of known motor learning mechanisms, representing a valuable option for motor treatment after stroke. The aim of this feasibility multicentre study was to test the clinical efficacy of a haptic prototype, for the recovery of hand function after stroke. Methods. A prospective pilot clinical trial was planned on 15 consecutive patients enrolled in 3 rehabilitation centre in Italy. All the framework features of the haptic robot (e.g., control loop, external communication, and graphic rendering for virtual reality) were implemented into a real-time MATLAB/Simulink environment, controlling a five-bar linkage able to provide forces up to 20 [N] at the end effector, used for finger and hand rehabilitation therapies. Clinical (i.e., Fugl-Meyer upper extremity scale; nine hold pegboard test) and kinematics (i.e., time; velocity; jerk metric; normalized jerk of standard movements) outcomes were assessed before and after treatment to detect changes in patients' motor performance. Reorganization of cortical activation was detected in one patient by fMRI. Results and Conclusions. All patients showed significant improvements in both clinical and kinematic outcomes. Additionally, fMRI results suggest that the proposed approach may promote a better cortical activation in the brain.

UR - http://www.scopus.com/inward/record.url?scp=84890073766&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84890073766&partnerID=8YFLogxK

U2 - 10.1155/2013/895492

DO - 10.1155/2013/895492

M3 - Article

C2 - 24319496

AN - SCOPUS:84890073766

VL - 2013

JO - Computational and Mathematical Methods in Medicine

JF - Computational and Mathematical Methods in Medicine

SN - 1748-670X

M1 - 895492

ER -