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Interactive robot-assisted training system using continuous EMG signals for stroke rehabilitation

Published: 22 April 2009 Publication History

Abstract

Active initiation and participation in the rehabilitation is a key of success for stroke rehabilitation. To patients with stroke, the interactive robotic system would motivate them to actively interact with the system during the task-related training regime. The system used muscle activation from affected limbs as control signal. The system was designed to train the wrist, elbow, knee and ankle joints in vertical and horizontal positions. Results from wrist and elbow training on persons after stroke had shown improvement in reduced spasticity on the joint, better coordination on the wrist and elbow joints.

References

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Volpe B., Ferraro M., Lynch D., Christos P., Krol J., Christine T., Krebs H., and Hogan N., Robotics and other devices in the treatment of patients recovering from stroke, Current Atherosclerosis Reports, vol. 6, pp. 314--319, 2004.
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Song R., Tong K. Y., Hu X. L., and Li L., Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke, IEEE T Neur Sys Reh, vol. 16, 2008.
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Tong R. K. Y., Ng M. F., and Li L. S., Effectiveness of gait training using an electromechanical gait trainer, with and without functional electric stimulation, in subacute stroke: A randomized controlled trial, Arch Phys Med Rehabil, vol. 87, pp. 1298--1304, 2006.
[5]
Ng M. F. W., Tong, R. K. Y. and. Li L. S. W, "A Pilot Study of Randomized Clinical Controlled Trial of Gait Training in Subacute Stroke Patients With Partial Body-Weight Support Electromechanical Gait Trainer and Functional Electrical Stimulation: Six-Month Follow-Up," Stroke, vol. 39, pp. 154--160, 2008.

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  • (2020)The Status of Research into Intention RecognitionRobotic Systems10.4018/978-1-7998-1754-3.ch061(1290-1306)Online publication date: 2020
  • (2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
  • (2019)Investigation of Fatigue Using Different EMG Features2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)10.1109/ICORR.2019.8779402(115-120)Online publication date: Jun-2019
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  1. Interactive robot-assisted training system using continuous EMG signals for stroke rehabilitation

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      cover image ACM Other conferences
      i-CREATe '09: Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology
      April 2009
      222 pages
      ISBN:9781605587929
      DOI:10.1145/1592700
      • Conference Chairs:
      • Wei Tech Ang,
      • Wantanee Phantachat
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 22 April 2009

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      Author Tags

      1. EMG
      2. interactive
      3. rehabilitation robot
      4. stroke
      5. upper and lower limbs

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      Cited By

      View all
      • (2020)The Status of Research into Intention RecognitionRobotic Systems10.4018/978-1-7998-1754-3.ch061(1290-1306)Online publication date: 2020
      • (2019)Sensor Fusion Used in Applications for Hand Rehabilitation: A Systematic ReviewIEEE Sensors Journal10.1109/JSEN.2019.289708319:10(3581-3592)Online publication date: 15-May-2019
      • (2019)Investigation of Fatigue Using Different EMG Features2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR)10.1109/ICORR.2019.8779402(115-120)Online publication date: Jun-2019
      • (2018)A Taxonomy in Robot-Assisted Training: Current Trends, Needs and ChallengesTechnologies10.3390/technologies60401196:4(119)Online publication date: 13-Dec-2018
      • (2017)The Status of Research into Intention RecognitionImproving the Quality of Life for Dementia Patients through Progressive Detection, Treatment, and Care10.4018/978-1-5225-0925-7.ch010(201-221)Online publication date: 2017
      • (2011)EMG-based rehabilitation device for upper and lower limb persons with disabilities via bicycle motionProceedings of the 5th International Conference on Rehabilitation Engineering & Assistive Technology10.5555/2500753.2500789(1-4)Online publication date: 21-Jul-2011

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