Literature DB >> 16200756

Customized interactive robotic treatment for stroke: EMG-triggered therapy.

Laura Dipietro1, Mark Ferraro, Jerome Joseph Palazzolo, Hermano Igo Krebs, Bruce T Volpe, Neville Hogan.   

Abstract

A system for electromyographic (EMG) triggering of robot-assisted therapy (dubbed the EMG game) for stroke patients is presented. The onset of a patient's attempt to move is detected by monitoring EMG in selected muscles, whereupon the robot assists her or him to perform point-to-point movements in a horizontal plane. Besides delivering customized robot-assisted therapy, the system can record signals that may be useful to better understand the process of recovery from stroke. Preliminary experiments aimed at testing the proposed system and gaining insight into the potential of EMG-triggered, robot-assisted therapy are reported.

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Year:  2005        PMID： 16200756      PMCID： PMC2752646          DOI： 10.1109/TNSRE.2005.850423

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN： 1534-4320            Impact factor:   3.802


  46 in total

1.  Forced use of the upper extremity in chronic stroke patients: results from a single-blind randomized clinical trial.

Authors:  J H van der Lee; R C Wagenaar; G J Lankhorst; T W Vogelaar; W L Devillé; L M Bouter
Journal:  Stroke       Date:  1999-11       Impact factor: 7.914

2.  Motor skills training enhances lesion-induced structural plasticity in the motor cortex of adult rats.

Authors:  T A Jones; C J Chu; L A Grande; A D Gregory
Journal:  J Neurosci       Date:  1999-11-15       Impact factor: 6.167

3.  A comparison of computer-based methods for the determination of onset of muscle contraction using electromyography.

Authors:  P W Hodges; B H Bui
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1996-12

4.  Compensatory strategies for reaching in stroke.

Authors:  M C Cirstea; M F Levin
Journal:  Brain       Date:  2000-05       Impact factor: 13.501

5.  Electromyogram-triggered neuromuscular stimulation for improving the arm function of acute stroke survivors: a randomized pilot study.

Authors:  G Francisco; J Chae; H Chawla; S Kirshblum; R Zorowitz; G Lewis; S Pang
Journal:  Arch Phys Med Rehabil       Date:  1998-05       Impact factor: 3.966

6.  Robotic assistance of an active upper limb exercise in neurologically impaired patients.

Authors:  J A Cozens
Journal:  IEEE Trans Rehabil Eng       Date:  1999-06

7.  Signal versus noise characteristics of filtered EMG used as a control source.

Authors:  J G Kreifeldt
Journal:  IEEE Trans Biomed Eng       Date:  1971-01       Impact factor: 4.538

8.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

9.  Myoelectric signal processing: optimal estimation applied to electromyography--Part I: derivation of the optimal myoprocessor.

Authors:  N Hogan; R W Mann
Journal:  IEEE Trans Biomed Eng       Date:  1980-07       Impact factor: 4.538

10.  Voluntary exercise induces a BDNF-mediated mechanism that promotes neuroplasticity.

Authors:  Fernando Gómez-Pinilla; Zhe Ying; Roland R Roy; Raffaella Molteni; V Reggie Edgerton
Journal:  J Neurophysiol       Date:  2002-11       Impact factor: 2.714
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  41 in total

1.  Evaluation of negative viscosity as upper extremity training for stroke survivors.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Augmented dynamics and motor exploration as training for stroke.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-03       Impact factor: 4.538

3.  EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.

Authors:  Jie Liu; Xiaoyan Li; Guanglin Li; Ping Zhou
Journal:  Med Eng Phys       Date:  2014-05-17       Impact factor: 2.242

4.  A novel myoelectric pattern recognition strategy for hand function restoration after incomplete cervical spinal cord injury.

Authors:  Jie Liu; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-09-27       Impact factor: 3.802

Review 5.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

6.  Therapeutic Robotics: A Technology Push: Stroke rehabilitation is being aided by robots that guide movement of shoulders and elbows, wrists, hands, arms and ankles to significantly improve recovery of patients.

Authors:  Hermano Igo Krebs; Neville Hogan
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2006-09-01       Impact factor: 10.961

7.  Robotic lower limb exoskeletons using proportional myoelectric control.

Authors:  Daniel P Ferris; Cara L Lewis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  Study of stability of time-domain features for electromyographic pattern recognition.

Authors:  Dennis Tkach; He Huang; Todd A Kuiken
Journal:  J Neuroeng Rehabil       Date:  2010-05-21       Impact factor: 4.262

Review 9.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

Review 10.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262
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